27
Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=lspr20 Separation & Purification Reviews ISSN: 1542-2119 (Print) 1542-2127 (Online) Journal homepage: http://www.tandfonline.com/loi/lspr20 Organic Solvent Nanofiltration in Pharmaceutical Industry M. G. Buonomenna & J. Bae To cite this article: M. G. Buonomenna & J. Bae (2015) Organic Solvent Nanofiltration in Pharmaceutical Industry, Separation & Purification Reviews, 44:2, 157-182, DOI: 10.1080/15422119.2014.918884 To link to this article: https://doi.org/10.1080/15422119.2014.918884 Accepted author version posted online: 15 Jul 2014. Published online: 15 Jul 2014. Submit your article to this journal Article views: 1054 View Crossmark data Citing articles: 34 View citing articles

Organic Solvent Nanofiltration in Pharmaceutical Industry · 2018-09-06 · 2007 on applications in food chemistry, petrochemistry, catalysis and pharmaceutical manufacturing. In

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Page 1: Organic Solvent Nanofiltration in Pharmaceutical Industry · 2018-09-06 · 2007 on applications in food chemistry, petrochemistry, catalysis and pharmaceutical manufacturing. In

Full Terms & Conditions of access and use can be found athttp://www.tandfonline.com/action/journalInformation?journalCode=lspr20

Separation & Purification Reviews

ISSN: 1542-2119 (Print) 1542-2127 (Online) Journal homepage: http://www.tandfonline.com/loi/lspr20

Organic Solvent Nanofiltration in PharmaceuticalIndustry

M. G. Buonomenna & J. Bae

To cite this article: M. G. Buonomenna & J. Bae (2015) Organic Solvent Nanofiltrationin Pharmaceutical Industry, Separation & Purification Reviews, 44:2, 157-182, DOI:10.1080/15422119.2014.918884

To link to this article: https://doi.org/10.1080/15422119.2014.918884

Accepted author version posted online: 15Jul 2014.Published online: 15 Jul 2014.

Submit your article to this journal

Article views: 1054

View Crossmark data

Citing articles: 34 View citing articles

Page 2: Organic Solvent Nanofiltration in Pharmaceutical Industry · 2018-09-06 · 2007 on applications in food chemistry, petrochemistry, catalysis and pharmaceutical manufacturing. In

Separation & Purification Reviews, 44: 157–182, 2015Copyright © Taylor & Francis Group, LLCISSN: 1542-2119 print / 1542-2127 onlineDOI: 10.1080/15422119.2014.918884

Organic Solvent Nanofiltration in PharmaceuticalIndustry

M. G. Buonomenna1 and J. Bae2

1Ordine dei Chimici della Campania, Napoli, Italy2Department of Applied Chemistry, Dongduk Women’s University, Seoul, Republic of Korea

Organic solvent nanofiltration (OSN) is a promising energy and waste efficient unit processto separate mixtures down to a molecular level, which gained attention in the pharmaceuti-cal industry, in particular in the process development of Active Pharmaceutical Ingredients(APIs). This article focuses on all aspects related to OSN (i.e., membrane materials, commer-cial membranes, transport theories, applications) to understand the role of this technology inpharmaceutical industry. The most important results in the last five years on OSN applicationsin the process development of APIs are reviewed extensively.

Keywords: Organic solvent nanofiltration, solvent resistant nanofiltration, active pharmaceu-tical ingredients (APIs), solvent exchange, product purification, genotoxin impurities (GTIs),membrane enhanced peptide synthesis (MEPS), hybrid processes

INTRODUCTION

Separation processes are of utmost importance for the chem-ical and pharmaceutical industry: 50 to 90% of the capitalinvestments in the chemical industry involve separation pro-cesses. Organic syntheses are often carried out in organicsolvents and involve products with high added value thathave to be separated from the organic solvents. All theseprocesses are solvent intensive.

In these last years, production plants increased focus onprocess energy efficiency as well as mass efficiency (1).The overall mass efficiency of a process can be improvedthrough solvent recovery and recycle, and recovery process-ing is currently practiced in various chemical industries.Solvent recovery can offer significant benefits with regardsto reduced purchase, storage and waste costs. Increased com-pliance with environmental legislation and reduced emissionof greenhouse gases are also important. Solvent use has

Received 17 September 2013, Accepted 15 April 2014.Address correspondence to M. G. Buonomenna, Ordine dei Chimici

della Campania, Via A. Tari 22, 80138 Napoli, Italy. E-mail: [email protected]

Color versions of one or more of the figures in the article can be foundonline at www.tandfonline.com/lspr.

been reported to account for approximately 60% of the over-all energy consumption for active pharmaceutical ingredient(API) production indicating that solvent recovery could be ofinterest for improving energy efficiency (2).

In this context, organic solvent nanofiltration (OSN), orsolvent resistant nanofiltration (SRNF) represents an inter-esting membrane technology with enormous potential as itallows separations of organic mixtures down to a molecularlevel by simply applying a pressure gradient over a mem-brane and recovery with possibility of reuse of the organicsolvents.

In fact, one of the significant and recognized benefitsof membrane operations is their low direct energy con-sumption because of the absence of phase transformations.Another feature is the possibility for reducing indirect energyconsumption through the recycling and reuse of raw mate-rials and secondary materials minimizing the formation ofwastes. In addition, the association of membrane opera-tions with other conventional techniques or working withhybrid systems combining or integrating different membraneoperations can lead to more rationale applications (3–5).

Traditional applications for industrial membrane separa-tions in liquid systems have been in a water environment.Membrane materials are now available that can work inorganic solvents. In the range of membrane filtrations where

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158 M. G. BUONOMENNA AND J. BAE

discrimination occurs at molecular level, mutual interac-tions between solute and solvent, solvent and membrane,as well as between solute and membrane play a key rolein addition to mere molecular size. It renders selection ofa suitable membrane type for a given separation relativelydifficult and requires a multidisciplinary approach, involvingmaterials science and engineering, chemical synthesis andcharacterization of membrane materials as well as membranemanufacturing, modification and module design. The firstlarge-scale application of OSN technology was in solventrecovery from the dewaxing operation in lubes processing(6, 7).

In a pharmaceutical context, OSN-membranes can beapplied in drug synthesis between reaction steps or in thedownstream processing. Practically, OSN can be used toeither retain a larger target molecule, or allow the targetmolecule to permeate while retaining the impurity. In caseof thermo-labile compounds, OSN has an additional bene-fit compared to conventional thermal unit operations such asdistillation.

In 2008, Vandezande et al. (8) published a critical reviewon all aspects related to OSN and, concerning its appli-cations, the authors reviewed exhaustively literature up to2007 on applications in food chemistry, petrochemistry,catalysis and pharmaceutical manufacturing. In the sameyear, Volkov et al. (9) reviewed the applications of OSN inpetrochemical industry, homogeneous catalysis, separationof ionic liquids, and for the solvent exchange in multisteporganic synthesis and in food industry. In the chapter byPeeva et al. (10), dated 2010, after two sections on typi-cal membranes for OSN and their characterization, the mainapplications of OSN in fine chemical and pharmaceuticalsynthesis, food and beverage, and refining were reported.

In this review, after an updated overview of the mem-brane materials and transport theories of OSN, the role of thistechnology in the specific field of pharmaceutical industry isdiscussed on the basis of recent literature and specificallyin nonthermal solvent exchange, removal of excess reagents,reaction product purification and peptides synthesis.

OSN: BACKGROUND

Membrane Materials

Polymeric Membranes

Nowadays the majority of OSN membranes are based onpolymers. The reasons for that are wide choice of materials,relatively easy processing and good reproducibility. It is alsomuch easier to tailor polymeric membranes to the applica-tion compared to ceramic membranes. In Table 1, polymericmaterials used to manufacture nanofiltration membranes fornonaqueous solvents are reported. In Table 2 a list of somecommercial membranes with their characteristics is given.Commercial OSN membranes include membranes both

especially designed for OSN (such as Starmem, DuraMem,PuraMem, HITK-T1, etc.) and developed for the watertreatment segment market (Desal-5 and Desal-5-DK).

Cross-linked silicon rubbers are used to produce compos-ite membranes in which the selective layer is deposited onthe porous supporting material, generally polyacrylonitrile(PAN) or polyimide porous supports. Commercially avail-able composite polydimethyl siloxane (PDMS)-based mem-branes are: Puramem S380 from Evonik (MET Ltd., UK)developed for filtrations with hydrophobic solvents such asalkanes, consisting of a cross-linked PDMS layer on cross-linked polyimide (PI) (see Table 2, entry 4); Solsep series(some Solsep membranes were proven to have a silicontop layer), Table 2, entries 6-10; GMT-oNF-2 (Table 2,entry 11).

Zeidler et al. (11) reported a systematical experimen-tal investigation of the separation behavior concerning theinteractions between a PDMS-based membrane (GMT-oNF-2) and various solvents and the influence of functional groupsin the solute molecules to identify the parameters which sig-nificantly influence membrane performance. The solventschosen for the study resemble those ones used in the vari-ous synthesis steps in the production of specialty chemicals:ethanol (polar), n-heptane (nonpolar) and tetrahydrofuran(polar aprotic). The solubility parameters of the membrane,the solvent, and the solute (calculated with a group con-tribution method) represent the easily accessible tool usedby the authors to predict the separation behavior of a densePDMS membrane and to estimate the expected rejection ofthe solute molecules investigated.

The strategy used to improve the performance of silicone-based membranes for separations in nonpolar solvents con-sists in filling PDMS top layer with different filler such asnoble metal nanoparticles (and/or treating via photo-thermalheating (12)), zeolites (13, 14), or molecular organic frame-works (MOFs) (15). The role of these fillers in the PDMSmatrix is different. Noble metal nanoparticles release effi-ciently heat under optical excitation (electromagnetic energyis converted into thermal energy). So, the study of the effectof these nanoparticles on membrane performance is, in real-ity, related to the influence of the photothermal heatingon membrane fluxes without altering selectivity: a laser iscoupled to filtration process. Li et al. (12) indicated that pho-tothermal heating improved PDMS membrane fluxes withoutsignificantly lowering selectivity.

Zeolites and MOFs are porous crystalline materials thatact in the polymeric matrix as molecular sieves: in idealcases, they should discriminate between the organic solventand the solute molecules enhancing the selectivity. Basuet al. (15) reported that retention of mixed matrix mem-branes based on PDMS and MOFs in the separation of RoseBengal from isopropanol was significantly better than whenpure PDMS membranes were used. A size exclusion effectof the filler and reduced polymer swelling were responsiblefor the enhanced separation. Considering polymer swelling,

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 159

TABLE 1Polymeric materials used for the preparation of membranes for organic solvent nanofiltration (OSN)

Polymer class Polymer material Formula

Highly permeablerubbers

Silicon rubbers variation ofpolydimethyl siloxanes(PDMS) Si O

R

CH3

R OSi

CH3

CH3

OSi

CH3

CH3x y

Si

CH3

CH3

R

R=OH, –CH=CH2, or another alkyl or aryl group

Low permeablepolymeric glasses

Polyimides (PI)

N

O

O

N

O

O

R

Polysulfones (PS)

S

O

O

O

n

Polyamides (PA)

C

O

N

H

n

Polybenzilimidazole (PBI)

N

N

H

N

H

N

n

Poly(ether ether ketones) (PEEK)

O O C

O

n

Highly permeablepolymeric glasses

Poly(trimethylsilyl) propylene(PTMSP)

(Continued)

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160 M. G. BUONOMENNA AND J. BAE

TABLE 1(Continued)

Polymer class Polymer material Formula

Polymethyl pentene (PMP)

polymer of intrinsic microporosity(PIM)

the authors related it to sorption capacity. The experimentalresults showed a reduced sorption capacity with increasingMOF loading, reflecting a cross-linking effect of the fillerson the membrane polymer. Analogous results were observedwhen zeolite was used as filler (13).

The other class of polymers reported in Table 1 is thatone of glassy polymers that can be low or high permeablepolymers, characterized by different free volume degrees.With polyimides (16–18), polysulfones (19–21), poly(etherether ketones) (PEEK) (22–24) (i.e., low permeable glassypolymers) (Table 1), integrally skinned membranes, in whichselective and support layers are made of the same polymericmaterial, are produced via phase inversion. Many of theOSN membranes developed are integrally skinned. The poly-mers used for their preparation may contain various additivessuch as stabilizers and flame retardants that can influencethe preparation process (i.e., phase separation) (25). Withpolyamides, thin film composite (TFC) membranes, in whichselective and support layers are made of different materi-als, can be prepared by interfacial polymerization. Thesemembranes have the potential to achieve higher fluxes thanintegrally asymmetric OSN membranes (26), even thoughfor their use in nonpolar solvents, such as toluene, theexternal surface properties of these membranes need to bemodified (27).

Many more materials could be used to prepare OSN mem-branes. In particular, intensive research is performed withcommercially available glassy polymers that were not explic-itly developed as membrane materials for OSN. Amongthese polymers, polybenzilimidazole (PBI) and PEEK havegained attention for their chemical stability and mechanicalstrength. PBI, possesses thermal, mechanical and chemicalstability in corrosive environments, with excellent stabilitytowards acids and bases (28). Valtcheva et al. (29) report newOSN membranes based on PBI for applications in organicsolvents containing acids or bases. The new OSN mem-branes exhibit superior chemical stability compared to otherwell-known polymeric membranes such as the polyimideones.

PEEK is an interesting material for OSN membranesbecause it shows very low or no solubility in ordinary sol-vents (30). Recently, Peeva et al. (31) reported a one pot,long-term continuous Heck coupling reaction by means ofOSN performed in N,N-dimethylformamide (DMF) at 80◦Cwith a PEEK-based membrane to retain efficiently the Pdcatalyst. The reaction results obtained in the comparison toPBI and aminopropyl triethoxysilane (APTS) cross-linked PImembranes showed that only the PEEK membrane appearedto have no effect on the reaction rate: the use of APTS cross-linked PI membrane reduced the reaction rate, while the PBImembrane seemed to inhibit the reaction (via Pd catalystinhibition). It was hypothesized by the authors that the nitro-gen of the imidazolium ring (see PBI monomer unit structurein Table 1) had chelating properties quenching the Pd atoms(31).

Modified PEEK polymers were synthesized, making itpossible to prepare membranes via the phase inversion pro-cess. PEEK-WC is a PEEK polymer with a cardo-groupin the polymer backbone. This polymer has been reportedas a material for gas separation, nanofiltration (32–36) andseparation of isopropanol solutions of Rose Bengal (40),a dye used for retention screening of membrane materi-als in OSN (37–40). However, PEEK-WC membranes arenot stable in polar aprotic solvents such as acetone, DMFor acetonitrile. To overcome this problem, Hendrix et al.synthesized a PEEK polymer modified with a valeric acidgroup (VA-PEEK) (41) used for membrane cross-linkingwith diamines.

After activation of the carboxylic acid in the polymercasting solution, the cast polymer film is cross-linked bydiamines that were dissolved in the coagulation bath, as pre-viously reported for PI membranes (37, 42). Cross-linking,which implies that the polymer chains are covalently boundtogether, creating an interconnected polymeric network inthe membrane, is a useful strategy not only for OSN mem-branes but also for gas separation membranes to reduceswelling and plasticization. Vanherck et al. (43) reviewedmany cross-linking methods for polyimide (PI) membranes

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TAB

LE2

Com

mer

cial

hydr

opho

bic

(PH

OB

)an

dhy

drop

hilic

(PH

IL)

mem

bran

esfo

ror

gani

cso

lven

tnan

ofiltr

atio

n

Ent

ryM

embr

ane

nam

eM

anuf

actu

rer

Mem

bran

ech

arac

ter

Mol

ecul

arw

eigh

tcu

t-of

f(M

WC

O)

Mem

bran

ety

pean

dm

ater

ial

Solv

ents

tabi

lity

aA

ppli

cati

ons

Ref

.

1M

PF-5

0∗K

och

Mem

bran

eSy

stem

s(U

SA)

PHO

B70

0D

a(b

ased

onre

ject

ion

ofSu

dan)

TFC

,com

pris

ing

ade

nse

silic

one

top

laye

ron

apo

rous

cros

s-lin

ked

PAN

-bas

edsu

ppor

t

Alc

ohol

s,ke

tone

s,es

ters

,alk

ylha

lides

,alk

anes

Rec

over

yof

orga

nom

etal

licco

mpl

exes

from

DC

M,T

HF,

ethy

lace

tate

;rec

over

yof

phas

etr

ansf

erca

taly

sts

from

tolu

ene,

sepa

ratio

nof

tigly

ceri

des

from

hexa

ne,s

olve

ntex

chan

gein

phar

mac

eutic

alm

anuf

actu

ring

79–8

2

2M

PF-4

4∗K

och

Mem

bran

eSy

stem

s(U

SA)

PHIL

250

Da

(bas

edon

reje

ctio

nof

gluc

ose

inw

ater

)

TFC

,com

pris

ing

ade

nse

silic

one

top

laye

ron

apo

rous

cros

s-lin

ked

PAN

-bas

edsu

ppor

t

Aqu

eous

mix

ture

sof

low

eral

coho

ls,h

ydro

carb

ons,

chlo

rina

ted

solv

ents

(DC

M,

chlo

rofo

rm),

arom

atic

s(t

olue

ne,x

ylen

e),k

eton

es(M

EK

),di

ethy

leth

er,e

thyl

acet

ate,

cycl

ohex

ane,

prop

ylen

eox

ide,

acet

onitr

ile,T

HF,

1,4-

diox

ane.

Rec

over

yof

clin

dam

ycin

from

ferm

enta

tion

was

tew

ater

.83

3St

arm

em12

0,12

2,22

8,24

0

bW

.R.G

race

-Dav

ison

(USA

),di

stri

bute

dby

Mem

bran

eE

xtra

ctio

nTe

chno

logy

(ME

T)

(UK

)

PHO

B20

0,22

0,28

0,40

0D

acIn

tegr

ally

skin

ned

asym

met

ric

mem

bran

esw

ithac

tive

surf

aces

base

don

poly

imid

e(p

ore

size

<5

nm)

Alc

ohol

s(e

.g.,

buta

nol,

etha

nol,

and

iso-

prop

anol

);al

kane

s(e

.g.,

hexa

nean

dhe

ptan

e);a

rom

atic

s(e

.g.,

tolu

ene

and

xyle

ne);

ethe

rs(e

.g.,

met

hyl-

tert

-but

yl-

ethe

r);k

eton

es(e

.g.,

met

hyl-

ethy

l-ke

tone

and

met

hyl-

isob

utyl

-ket

one)

;an

dot

hers

(e.g

.,bu

tyl

acet

ate

ande

thyl

acet

ate)

.

Solv

entr

ecov

ery

inlu

beoi

lde

wax

ing

and

arom

atic

sen

rich

men

ts,p

harm

aceu

tical

man

ufac

turi

ngfo

rso

lven

tex

chan

gean

dm

icro

fluid

icpu

rific

atio

n,bi

otra

nsfo

rmat

ions

inm

embr

ane

bior

eact

ors

(MB

Rs)

84–8

7

4Pu

raM

emS3

80E

voni

kM

ET

(UK

)PH

OB

600

Da

TFC

with

cros

s-lin

ked

PDM

Sla

yer

onpo

lyim

ide

ultr

afiltr

atio

nsu

ppor

t

Hep

tane

,hex

ane

App

licat

ions

inap

olar

hydr

ocar

bon-

type

solv

ents

88

5D

uraM

em,

Pura

mem

280

Evo

nik

ME

T(U

K)

PHO

B15

0–90

0D

aIn

tegr

ally

skin

ned

asym

met

ric

cros

s-lin

ked

poly

imid

e-ba

sed

mem

bran

e

Ace

tone

,eth

anol

,met

hano

l,te

trah

ydro

fura

n,di

met

hylf

orm

amid

e∗,

dim

ethy

lsul

foxi

de∗ ,

dim

ethy

lace

tam

ide∗

,is

opro

pano

l,ac

eton

itrile

,m

ethy

leth

ylke

tone

,eth

ylac

etat

e.

App

licat

ions

inm

ostc

alle

dag

gres

sive

solv

ents

such

asso

lven

tsof

the

pola

rap

rotic

solv

entf

amily

(with

the

aste

risk

)

88

6So

lSep

d

NF0

1020

6So

lSep

(The

Net

herl

ands

)−

300

Da,

R95

%T

FCA

lcoh

ols,

este

rsU

pgra

ding

ofso

lven

tmix

ture

sfo

rre

use

inin

dust

rial

appl

icat

ions

89,9

0,91

(Con

tinu

ed)

161

Page 7: Organic Solvent Nanofiltration in Pharmaceutical Industry · 2018-09-06 · 2007 on applications in food chemistry, petrochemistry, catalysis and pharmaceutical manufacturing. In

TAB

LE2

(Con

tinue

d)

Ent

ryM

embr

ane

nam

eM

anuf

actu

rer

Mem

bran

ech

arac

ter

Mol

ecul

arw

eigh

tcu

t-of

f(M

WC

O)

Mem

bran

ety

pean

dm

ater

ial

Solv

ents

tabi

lity

aA

ppli

cati

ons

Ref

.

7So

lSep

NF0

1030

6So

lSep

(The

Net

herl

ands

)−

500

Da,

R95

%A

lcoh

ols,

este

rs,k

eton

es,

arom

atic

s,ch

lori

nate

dso

lven

ts,

redu

cing

atm

osph

eres

Upg

radi

ngof

solv

entm

ixtu

res

for

reus

ein

indu

stri

alap

plic

atio

ns89

,90,

91

8So

lSep

NF0

3030

6So

lSep

(The

Net

herl

ands

)−

500

Da,

R95

%(A

ceto

ne);

300

Da,

R99

%(a

lcoh

ols)

TFC

Alc

ohol

s,es

ters

,ket

ones

,ar

omat

ics,

chlo

rina

ted

solv

ents

,re

duci

ngat

mos

pher

es

Upg

radi

ngof

solv

entm

ixtu

res

for

reus

ein

indu

stri

alap

plic

atio

ns92

9So

lSep

NF0

3030

6FSo

lSep

(The

Net

herl

ands

)−

300

Da,

R95

%(A

ceto

ne);

300

Da,

R95

%(E

thyl

acet

ate)

TFC

Alc

ohol

s,ke

tone

s,ar

omat

ics,

chlo

rina

ted

solv

ents

Upg

radi

ngof

solv

entm

ixtu

res

for

reus

ein

indu

stri

alap

plic

atio

ns89

,90,

91

10So

lSep

NF0

3010

5So

lSep

(The

Net

herl

ands

)−

300

Da,

R95

%(E

than

ol,

met

hano

l);

750

Da,

R95

%(A

ceto

ne)

TFC

Alc

ohol

s,ar

omat

ics,

keto

nes

Upg

radi

ngof

solv

entm

ixtu

res

for

reus

ein

indu

stri

alap

plic

atio

ns89

,90,

91

11G

MT-

oNF-

2G

MT

Mem

bran

tech

nik

Gm

bH(G

erm

any)

PHO

BT

FCco

mpr

isin

ga

PDM

S-ba

sed

top

laye

ron

aPA

N(P

olya

cryl

onitr

ile)

−−

93

12D

esal

-5G

E/O

smon

ics

PHIL

340

Da,

R96

%T

FCco

mpr

isin

ga

poly

(pip

eraz

ione

amid

e)to

pla

yer

with

anin

term

edia

tesu

lfon

ated

PSf

laye

r

Tolu

ene,

ethy

lace

tate

,met

hano

l,di

chlo

rom

etha

neSe

para

tion

ofol

eic

acid

from

met

hano

l;se

para

tion

ofPd

-BIN

AP

and

Wilk

inso

nca

taly

stfr

omdi

chlo

rom

etha

ne

94–9

6

13D

esal

-5-D

KG

E/O

smon

ics

PHIL

340

Da,

R96

%T

FCco

mpr

isin

ga

PA-b

ased

top

laye

rL

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 163

reported in literature and discussed the important, commer-cialized PI types that are now used in membrane technology,their preparation methods and main applications. Most OSNresearch is done on cross-linked PI membranes as cur-rent state-of-the-art (16, 37, 43, 44) such as commercialDuramem-series by Evonik MET (UK) (see Table 2, entry 5).These membranes are integrally skinned membranes. A threestep process is needed to prepare them: (i) phase inversion,(ii) cross-linking with amine and (iii) post-treatment with aconditioning agent (44). The conditioning agent is requiredto avoid membrane pore collapse upon drying, brittleness,and to ensure ease in handling during membrane modulesmanufacturing.

Recently, Siddique et al. (45) proposed a new gen-eration of compaction free PI OSN membranes. Thereis no more any flux reduction in time and these mem-branes do not require addition of a conditioning agent.Aminopropyl trimethoxysilane (APTMS) was used as cross-linker in the post-treatment of PI membranes (prepared viaa phase inversion process) instead of typical amines (e.g.,1,6-hexamethylene diamine or HMDA) used for conven-tional cross-linking. During the post-treatment the aminogroup of APTMS was reacted with polyimide P84, whilethe trimethoxysilane end groups were expected to hydrolyzeand generate a cross-linked network (Figure 1). The asym-metric structure of the membrane is further maintained aftertreatment with organic–inorganic cross-linker, resulting in amembrane with consistent performance and increased ther-mal and mechanical strength. The resulting decrease in fluxof the APTMS membranes was mitigated using pore formingadditives such as maleic acid.

As previously reported for cross-linked silicon rubberscomposite membranes, thin film composite (TFC) are com-mon polymeric OSN-membranes, which consist of a verythin layer that is deposited on an open support membranevia interfacial polymerization, dip-coating, layer-by-layerdeposition or spin-coating (45–47). By applying the selec-tive thin skin-layers films on a cross-linked support mem-brane and by using a cross-linked top-layer, solvent stabilitycan be achieved. Beside cross-linked PI and cross-linkedsilicon rubber-based membranes, polyamide (PA) mem-branes thin films on polysulfone (PSf) supports, such asthe Filmtech membranes by Dow (US) are commerciallyavailable TFCs. They were developed for aqueous separa-tions and are not stable in polar aprotics, since the PSfsupport is not cross-linked. In this specific context, JimenezSolomon et al. developed solvent stable TFCs based oncross-linked PI support for OSN purposes (26, 27, 47). Thenew hydrophobic membranes are stable in DMF and exhibitsignificantly higher permeabilities with comparable or bet-ter selectivity for nonpolar solvents compared to commercialOSN hydrophobic integrally skinned asymmetric and rubbercoated membranes.

Membranes of both composite and asymmetric types aremanufactured upon the base of highly permeable polymeric

O

N

OO

O

N

O

CH2

Polyimide+

H2N Si

OMe

OMe

OMeAminopropyl trimethoxysilane

O

N

OO

N

O

CH2

PolyimideHNO

SiO O

O

SiO

O

NH

O

CH2

N

O O

N

OO

Cross-linked structure

FIGURE 1 Cross-linking of polyimide via aminopropyl trimethoxysilane(APTMES) (modified from (45)).© Elsevier. Reproduced from (45) with permission from Elsevier.Permission to reuse must be obtained from the rightsholder.

glasses, such as poly(1-trimethyl- silylprop-1-yne) (PTMSP)(Table 1) (49–51) and polymer of intrinsic microporosity(PIM) (52–54). The presence of a bulky substituent and dou-ble bond in the main chain of PTMSP ensures a high degreeof rigid free volume (up to 25%). The nanoporous structure(at a level of 1 nm) of the selective layer is spontaneouslyformed as in the case of the preparation of membranes basedon low permeable glassy polymers (49,50). Volkov et al.(50) reported that methanol, ethanol or acetone permeabil-ity through composite membranes based on PTMSP caston PAN porous support exceeds that of some commercialNF membranes (Desal-5-DK, MPF-44 and MPF-50), withretention of 85–90% of a negatively charged dye (molecu-lar weight (MW) 626.5 Da). However, it is known that highfree volume polymers such as PTMSP are subjected to fastphysical aging (reduction of gas permeability in time) (55).Concerning this issue, Volkov et al. (50) reported a slightdecrease of ethanol transport during an operation periodlasting between 80 and 230 h.

In a recent study, the effect of solute nature on theOSN performance of membrane materials based on highlypermeable glassy polymers such as PTMSP, PMP and PIM-1 was investigated in ethanol media (54). PTMSP, PMP and

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164 M. G. BUONOMENNA AND J. BAE

PIM-1 show the same level and order of retention for lowmolecular weight dyes (350 Da) regardless of the differencein polymer nature. It was shown that membrane swellingcould enhance the solvent transport across the membrane;for example, PMP and PIM-1 have comparable ethanol fluxwhile the gas permeability for PIM-1 is at least three timeslower than that for PMP. The swollen nanoporous structureof these polymers possesses sufficient mechanical resistancetowards significant applied pressures (10–30 bar).

Ceramic Membranes

In general, solvent-stable polymer membranes are optimizedto resist to a specific class of similar solvents (e.g., via cross-linking, as reported above), while ceramic membranes arestable in all solvents, including the aprotic solvents (e.g.,ethyl acetate, tetrahydrofuran, dimethylformamide, acetoni-trile) that are known to dissolve membrane-forming poly-mers very well (56). With ceramic membranes there isno leaching of chemicals as observed with the progressivedegradation of organic membrane or due to the chemicalconditioning agents used to keep nanopores open in NFmembranes (57). Therefore, ceramic membranes are gen-erally more suitable for use in GMP environments (“GoodManufacturing Practice” as used in the pharmaceuticalindustry) (56). Most of the existing ceramic nanofiltrationmembranes are made of metal oxides such as alumina(Al2O3), zirconia (ZrO2) or titania (TiO2).

The Inopor Company produces a range of ceramic forultrafiltration (UF) and nanofiltration (NF) membranes in theform of monochannel and multichannel tubes with lengthsup to 1.2 m. In Table 2 two membranes with top lay-ers based on ZrO2 and TiO2 are reported (Table 2, entries15 and 16). Due to the presence of hydroxyl groups onthe surface, these membranes are hydrophilic and there-fore in nonpolar organic solvents, show solvent fluxes.They can be prepared to be hydrophobic doing surfacefunctionalization with apolar group (such as alkyl, perflu-oroalkyl, etc.). This proved to enhance the flux of apolarsolvents (56). The most frequently applied functionalizationmethod is an organosilane coupling treatment on the reactivehydroxyl groups of metal oxides. The commercial HITK-T1 (HITK, Germany) is a silylated TiO2-based membrane(Table 2, entry 14). Organosilane reagents have the gen-eral structure SiXX’X”R. with X the reactive group of the

reagent, and R is the functional group grafted onto the metaloxide surface; groups X’ and X” can be on itself reactivegroups or nonreactive groups.

Alkyl groups or perfluoroalkyl groups with varying num-ber of carbon groups are the most frequently used functionalgroups for hydrophobization of the membrane surface, butalso polymers are chemically linked to ceramic membranes.Pinheiro et al. (58) developed a PDMS grafted α-aluminamembrane (5 nm). The first step was the ceramic sur-face modification via formation of an aminosilane layer(APTES) with subsequent reaction of the amine groupwith an epoxy-terminated PDMS proposed (Scheme 1). Thegrafted PDMS imparts the desired membrane selectivitywhile the ceramic support provides the mechanical, thermaland chemical stability.

Meynen and Buekenhoudt (56) reviewed the methods(both post-synthesis modification or in-situ methods) forthe preparation of hybrid organic-inorganic membranes(i.e., ceramic membranes functionalized with organic moi-eties) for OSN membranes. Synthesis methods such asorganosilane and phosphonic acid grafting as well as a morerecently developed method are discussed (59–62). A direct,covalent bonding of the aimed functional group (R) to themetal (M, with M = Al, Zr or Ti) of the metal oxide matrix,M–R was obtained using a Grignard reagent (Scheme 2).

Recently, the application in OSN of Inopor titania (1 nm)membranes functionalized with a series of alkyl groupsin Grignard reagents on the basis of Scheme 2 has beenreported (62). The functionalized ceramic membranes gavean increased retention in acetone, a typical aprotic solvent,compared to the acetone retention by native membranes. Thisconfirmed the hydrophobic character of the functionalizedmembranes. In particular, the retention results of modi-fied membranes are comparable to those obtained with theamphiphilic polymeric Duramem 300 membrane (Table 2,entry 5), a reference membrane often used as a benchmarkfor OSN.

Transport Models

Implementation of membrane processes at industrial scalerequires a good descriptive and predictive model based onreadily accessible physical property data (63). Challenges forprocess design include the selection of a suitable membraneand a suitable solvent (mixture) in the process. Until now, it

OH

O

O

O

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Si

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O

Si

CH3

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Si

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CH3

O

Si

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CH3

n

C4H

9

R1

OH

O

O

O

OH

Si

NH

R1

OH

SCHEME 1 Functionalization of ceramic membranes by polymer grafting via organosilanes (58).

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 165

SCHEME 2 Functionalization of ceramic membranes via Grignard’s reagents (59, 60).

has been difficult to identify the best suitable combinationof OSN membrane and solvent (pure or mixture) due totheir nontargeted nature. Therefore, modeling of the under-lying permeation mechanism to predict solvent fluxes/soluterejections and, more important, to generate insight into thetransport, is recommended.

Several transport models have been proposed for OSN,most of them being extension of the existing modelsfrom aqueous to the nonaqueous NF systems. Generally,three models, briefly described below, have been used todescribe mass transport through OSN membranes: 1) theSpiegler-Kedem model; 2) the pore-flow model and 3) thesolution-diffusion model. Both solution-diffusion and pore-flow models take into account membrane properties. TheSpiegler-Kedem model originates from irreversible thermo-dynamics, treating the membrane as a black-box.

Many of the tighter NF membranes (certainly all reverseosmosis (RO)-membranes) are considered having a densetop-layer where the free volume elements between thepolymer chains allow transport. However, for other OSNmembranes, for which the membrane material is typicalfor NF in the spectrum of pressure-driven membrane pro-cesses, solvent transport occurs through the pores whilesolute separations relies on sieving.

Recently, Schmidt and Lutze (64) presented aphenomena-based model for multicomponent perme-ation through polymeric OSN membranes based onsolution-diffusion, pore-flow and mutual coupling terms.Instead of developing a very detailed model, the objectiveof the study is to attain a fixed set of binary interactionparameters for a given OSN membrane, solvents and solutesin analogy to vapor–liquid equilibria (VLE) parametersets. Membrane modelling maps (MMM) were introduced.MMM highlight the shares of the permeation phenomenaand give recommendations for rejection improvement independence of the solute and the applied solvent (mixture).As experimental basis for parameter estimation and modelevaluation, published permeability and rejection data inbinary and ternary mixtures of toluene, n-hexane and2-propanol with Starmem 122 were used (64).

Spiegler-Kedem Model

The membrane is considered to be a “black box.” The trans-port of solvent and solute through a membrane considersonly the driving forces and their resulting fluxes. In thismodel based on irreversible thermodynamics, the drivingforces are differentials across the membrane. The solute fluxis a combination of diffusion and convection [Eq. (1)]:

J2 = P2dc

dz+ Jvc2 (1 − σ ) (1)

The first and second term represent the contributions of dif-fusion and convection, respectively. P2 is the local solutepermeability coefficient, Jv is the volume flux. C2 is the aver-age concentration of the solute in the membrane and ρ is thereflection coefficient, which can be interpreted as the fractionof solute reflected by the membrane in convective flow.

Pore-Flow Model

The pore flow model assumes that the mass transport occursby pressure driven convective flow through the pores of themembranes. Darvishmanesh et al. (65) developed a modelfor nanofiltration membrane units, implemented in a com-mon process simulation software (Aspen Plus). The modelis based on the pore flow mechanism and describes a singlemembrane module. In the case of liquids, the flux behaviorcan be described by the Hagen–Poiseuille equation [Eq. (2)],which contains membrane structural factors, like membranepore size, surface porosity and tortuosity and in whichviscosity (η) is an evident solvent parameter.

J1 = εrp

8ητ· �P

l(2)

εrp

8ητ l is the expression for the membrane permeability (Lp) forcylindrical pores.

However, several experimental OSN results suggestedthat the Hagen-Poiseuille law is not longer valid for organicsolvents due to possible interactions between solvent and

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166 M. G. BUONOMENNA AND J. BAE

membrane: pore size (rp) might depend on the type of solventused, due to different swelling of the membrane polymer.Machado et al. (66) characterized transport properties of sol-vents (alcohols, paraffins, ketones, acetates and water forcomparison) permeating through MPF-50 (Table 2, entry1). In this study, the commonly observed linear relation-ship [Eq. (2)] was obtained with paraffins, acetates andketones. However, nonlinear behavior was observed in thecase of alcohols (methanol, ethanol, iso-propanol, n-butanol,n-pentanol). The flux-pressure curve exhibits a falling ratebehavior accentuating as molecular weight increases.

Machado et al. (66) determined for the alcohols the αp,i.e., an empirical pressure coefficient, expressing the fallingrate behavior, defined by Eq. (3):

Lp = Lp0exp (−αpΔP) (3)

where Lp0 is a permeability constant. The calculated αp val-

ues for the alcohols were twice as large as those for water.The data suggested that the flux of either pure or mixedsolvents was mainly affected by the surface tension and vis-cosity of the solvents. For apolar solvents such as paraffins,the dielectric constant also affected the flux. In particularfor the influence of surface properties, the flux level of var-ious solvent families seems to be ordered by their relativehydrophobicity.

In a subsequent work, the same research group describedthe proportionality constant of Eq. (2) as the inverse of aseries of three resistances against mass transport (67). Thefirst two resistances are related to viscous flow in the toplayer of the membrane and in the porous support layer,respectively; the third resistance reflects the influence of ahydrophobic/hydrophilic resistance. The viscous resistancecan be expressed as

R1μ = k1

M

μ

(d1p)2 and R2

μ = k2M

μ

(d2p)2 (4)

and the resistance related to hydrophobicity/hydrophilicityis

R0S = k0

M

(d1p)2 (γC − γL) (5)

where k0M , k1

M , k2M are interaction constants, μ is the sol-

vent viscosity, d1p and d2

p are the membrane pore size in thetop and support layers, respectively and γ c-γ L is the sur-face energy difference between membrane and solvent. Theresulting equation for the solvent flux is

J = �P

φ[(γC − γL) + f1μ] + f2μ(6)

with

f1 = k1M/k0

M , f2 = k2M/(d2

p)2, φ = k0M/(d1

p)2φ (7)

On the basis of this so-called wetting model, membranecharacteristics are into one single parameter (φ). It can beexpected that hydrophobicity/hydrophilicity plays an impor-tant role for the solvent flux: apolar solvents with low surfacetension are expected to have a high flux with hydropho-bic membranes and a low flux with hydrophilic membranes.Polar solvents with a high surface tension have a lowflux with hydrophobic membranes and a high flux withhydrophilic membranes.

The surface force-pore flow (SFPF) model considerssolute-solvent-membrane interactions including the type ofsolvent (68). Solute and solvents physical properties are usedfor calculations making it possible for extension of the modelto different solvent-solute systems relatively easily as com-pared to traditional solution-diffusion models. The modelconsiders a potential function expressing the force exerted onthe solute molecule (φ (r)) by the pore wall or the membranesurface. φ (r) is a function of the distance r between the porewall or membrane surface and the solute molecule. A posi-tive φ (r) value represents a repulsive force, a negative valuean attractive force. The model uses momentum balances toobtain a relation between the observed solute rejection andother parameters. The resultant equation [Eq. (8)] containinga parameter BSFPF can be given by

ϕ(x) = ϕ(r)

RT= − BSFPF/R3

a

((Rb/Ra) − x)3 (8)

where Ra is the effective radius of the membrane pore afterpreferential solvent wetting, Rb the radius of the membranepore and x the dimensionless pore distance. The parameterBSFPF can be used as a measure of the interaction betweenthe solute and the membrane material.

Geens et al. (63) studied the removal of 5 specific activepharmaceutical ingredients (APIs) with different molecularweight (from 189–721 Da) from toluene, methylene chlo-ride, and methanol by using solvent resistant nanofiltration.Although the rejections expected from the size differencebetween solutes and membrane pores were high, the resultslargely depended on the solvent used. The authors analyzedfor the solute retention some of the models based on nano-sieving such as the Steric Hindrance Pore Model (69), themodel of Zeman and Wales (70), the log-normal model (71)and the Verniory model (72). The authors observed thatwhereas the nano-sieving approach seemed to be fundamen-tally different from solution-diffusion, both the nano-sievingand solution-diffusion models lead to similar results, becausethe diffusivity of a given compound is inversely proportionalto its size through the Stokes–Einstein equation:

Ds = kT

6πηrs(9)

where Ds is the diffusion coefficient (m2/s), T is the tem-perature (K), k is the Boltzmann constant, η is the viscosity(Pa.s), and rs is the solute’s radius (63).

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 167

Solution-Diffusion Model

In the classic model developed by Lonsdale et al. (73) andrevisited by Wijmans and Baker (74), the primary assump-tion is that the flux of the solute and solvent are independent.Ji, the flux of a species i through a membrane, is given by

Ji = DiKi

l

[cif − cip exp

(−νi(pf − pp)

RT

)](10)

where Di is the diffusion coefficient of i through the mem-brane; Ki is the partition coefficient; l is the membranethickness; cif, cip are the feed and permeate concentrationsof species i, respectively; υ i is the partial molar volume ofspecies i; pf, pp are the feed and permeate sides pressures,respectively; R is the gas constant and T is the temperature.

White (75) used this model to study the transport proper-ties of toluene solutions of six solutes (from 142 to 311 Da)through integrally skinned membranes based on PI (Table 2,entry 3). However, several experimental findings suggestedthat coupling of the solute and solvent fluxes cannot beneglected and thus the solution-diffusion model cannot beused without modifying it to consider coupling effects(76, 77).

The experimental data with two types of membranes(PDMS-based NF membrane and aromatic polyamide-basedmembrane) obtained by Bhanushali and co-workers (76)allowed them to evaluate two traditional transport theoriesthat consider coupling: the Spiegler–Kedem model and thepore-flow model (see above). The Spiegler–Kedem modelwas used to obtain the convective and diffusive contributions,however the model does not have specific parameters forsolute-membrane interactions; the pore-flow model was usedconsidering convective coupling and interaction parameters.

Paul (78) used the Maxwell–Stefan formulation for mul-ticomponent diffusion and proposed the following equations

for the solvent [Eq. (11)] and solute flux [Eq. (12)],respectively:

n1 = ρD1m

wml(w10 − w1l) (11)

n2 = ρD2m

Wml(

1 + ε2w1wm

) (w20 − w2l)

(ε2

w2wm

)(

1 + ε2w1wm

)n1 (12)

where ρ is the mass density of the membrane; l is the mem-brane thickness; D1m, D2m are multi component diffusioncoefficients of solvent and solute versus membrane, respec-tively; w10 and w1l are mass fraction of solvent in membraneat the upstream and downstream sides, respectively; w20 andw2l are mass fraction of solute in membrane at the upstreamand downstream sides, respectively; ε2 is frictional cou-pling coefficient. The two mechanisms for solute transportthrough polymer films, i.e., diffusion and convection canbe discerned, as suggested by the diffusion and convectionterms of Eq. (12) (78).

PHARMACEUTICAL APPLICATIONS

In the pharmaceutical industry and specifically in APIs man-ufacturing process, OSN can be applied in the synthesisbetween different reaction steps and/or in the downstreamprocessing including separations (extraction, distillation)and particle forming unit operations (crystallization, filtra-tion, drying). OSN can be used to either retain a targetmolecule (retentate stream) or allow the target molecule topermeate while retaining the impurity (permeate stream).During membrane separation, usually one or the two streams(permeate and retentate, Figure 2) are almost always contam-inated with a minor amount of a second component. In some

Retentate

Permeate

Feed

FeedRetentate

Permeate

a)

b)

c)

Feed

Retentate

Permeate

FIGURE 2 a) One stage, b) two-stage stripping cascade, and c) two-stage enriching cascade membrane separations.

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168 M. G. BUONOMENNA AND J. BAE

cases the permeate stream can contain significant amount ofmaterials which is supposed to be concentrated in the reten-tate, because the membrane selectivity is not infinite. If theproduct is retained by the membrane and the impurities pass,then pure solvent can be added to the feed tank, so-called dia-filtration operation, to wash out the impurities and to increasepurity. This, however, is at the expense of the product yield.

The extent to which a feed mixture can be separatedis limited. A single membrane module or a number ofsuch modules arranged in parallel or in series without recy-cle constitute a single-stage membrane separation process.To achieve a higher degree of separation, cascades of mem-brane modules with recycle are often used. Assuming thatthe pressure drop on the upstream side of the membrane isnegligible, only the permeate phase must be pumped (for aliquid) or compressed (for a gas).

A 2-stage stripping cascade (Figure 2b) is designed toobtain a purer retentate, whereas the 2-stage enriching cas-cade (Figure 2c) is designed to obtain a purer permeate. Theconcept of membrane cascades has been applied to solvent-based separations as discussed by Vanneste and co-workers(100) and Lin and Livingston (101). In particular, Kim et al.(102) in a recent study with the impressive title “When themembrane is not enough: A simplified membrane cascadeusing Organic Solvent Nanofiltration (OSN)” emphasizedhow the differences in rejection of the solutes by the mem-brane are often in sufficient to separate them in a singlefiltration stage. Membrane cascades can meet this challengeand have potential to implement process intensification (PI)strategy.

Here, the OSN applications in pharmaceutical industryare considered on the basis of relevant literature and patentsin four case-studies: peptides synthesis, removal of excessreagents, reaction product purification and nonthermal sol-vent exchange. In Table 3 some details for each case-studyare reported. For an interesting analysis of the use of OSNin particle formation unit operations such as crystallization,further reading of the review article by Rundquist et al. (103)is suggested. In particular, the authors proposed the integra-tion of APIs crystallization with solvent recovery and recyclevia OSN.

Technology for Peptide and OligonucleotideProduction

The cell membrane is a highly selective barrier, limitingthe cellular uptake of molecules including DNA, oligonu-cleotides, peptides and proteins used as therapeutic agents.Cell Penetrating Peptides (CPPs) represent a new and inno-vative concept, which bypasses the problem of bioavail-ability of drugs. A large number of different therapeuticagents have been efficiently delivered by CPPs. These rangefrom small molecules to proteins and even liposomes andmagnetic particles (104). Typical applications of CPPs inthe delivery of biopharmaceutical agents include: i) genedelivery; ii) siRNA delivery; iii) antisense oligonucleotide

delivery; iv) protein delivery; v) delivery of drug carriers;vi) CPP as APIs.

Munyendo et al. (105) reviewed the development of CPPsfor cell-specific delivery strategies involving biomoleculesand discussed conjugations of therapeutic agents to CPPsfor enhanced intracellular delivery. Produced by almost allliving organisms as a component of their innate nonspe-cific immune system, antimicrobial peptides are consideredas lead compounds for the discovery of human therapeuticsto tackle the development of antibiotic resistance. As drugs,peptides show unique features, high biological activity andspecificity, and low toxicity, thereby making them attractiveas therapeutic agents (106).

CPPs have been reported to act as APIs when used alone.A transactivator of transcription, called TAT peptide, con-taining a cysteine residue, was shown to be able to inhibitinfection by irreversibly inactivating virions exposed to thespecific TAT-C peptide prior to cell infection, blocking entryof cell-adsorbed viruses, or inducing a state of resistance toinfection in cells pretreated with TAT-C (107).

The technology for manufacturing many of these mate-rials is based on solid-phase synthesis. Solid-phase peptidesynthesis (SPPS) is the most widely used technology, sinceit neatly solves the critical purification problems encounteredat each stage in solution-phase synthesis. However it facesserious challenges including mass transfer, steric hindrance,and resin handling. The concept of membrane separationcoupled to solution-phase synthesis offers major advantagesover SPPS by combining the advantages of ‘‘classical’’solution-phase synthesis with the ease of purification of thesolid-phase method (108, 109).

In prior application of membrane separation in peptidesynthesis (108, 109), peptides built on poly(ethylene gly-col) (PEG) were separated from impurities by ultrafiltra-tion. After each coupling and each deprotection step ofthe peptide synthesis, three consecutive steps of solventevaporation, neutralization after deprotection, and uptake inwater prior to ultrafiltration were necessary. Water was thenremoved by evaporation and/or azeotropic distillation beforere-dissolving the PEG–peptide into organic solvent for thenext coupling step. All these steps were required becauseno solvent resistant membranes were available thirty yearsago. OSN represents an ideal separation method for in-cycle purification during peptide synthesis and MembraneEnhanced Peptide Synthesis (MEPS) is a new technologyplatform that advantageously combines OSN with solution-phase peptide synthesis (Table 3, entry 1).

So et al. (110, 111) illustrate clearly that MEPS benefitsfrom the advantages of SPPS, while avoiding the purificationsteps that have until now made this synthesis path practi-cally difficult. MEPS was patented by the same researchgroup (112). Peptide chain assembly occurs via: (1) amidecoupling; (2) a washing step for removal of excess reagentsvia constant volume dia-filtration; (3) deprotection; and (4)a washing step for removal of deprotection by-products andexcess reagents again via diafiltration. The cycle is repeated

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TAB

LE3

OS

Nin

reac

tions

and

sepa

ratio

nsin

phar

mac

eutic

alpr

oces

sing

Ent

ryP

harm

aceu

tica

lpr

oces

sing

step

OSN

role

OSN

mem

bran

eA

dvan

tage

sD

isad

vant

ages

Ref

.

1R

eact

ion

Sepa

ratio

nm

etho

dfo

rin

-cyc

lepu

rific

atio

ndu

ring

pept

ide

synt

hesi

s−

Zir

coni

umox

ide

coat

edm

embr

ane

(3nm

pore

size

),hy

drop

hobi

csu

rfac

em

odifi

ed(I

nopo

rG

mbH

,G

erm

any)

;−

Che

mic

ally

cros

s-lin

ked

poly

imid

em

embr

ane

(Dur

aMem

,ME

TL

td,U

K)

All

the

adva

ntag

esof

solu

tion

phas

esy

nthe

sis

avoi

ding

the

puri

ficat

ion

step

s

−R

equi

red

high

mem

bran

ese

lect

ivity

betw

een

the

pept

ide

and

side

reac

tion

prod

ucta

ndex

cess

reag

ent

isre

ques

ted

−R

equi

red

long

term

mem

bran

est

abili

tyin

the

reac

tion

solv

ent

(DM

F)

108–

112

2R

eact

ion

Rem

oval

ofex

cess

ofre

agen

ts(b

enzy

lal

coho

l)St

arm

em-1

20St

arm

em-1

22D

irec

tand

effic

ient

sepa

ratio

nal

tern

ativ

eto

chro

mat

ogra

phy

whi

chre

quir

esa

larg

equ

antit

yof

silic

a

An

acyl

atio

nst

epto

incr

ease

the

mol

ecul

arw

eigh

tof

benz

ylal

coho

lis

nece

ssar

yfo

rco

mpl

ete

rete

ntio

nth

roug

hth

em

embr

anes

115

3Po

st-r

eact

ion

puri

ficat

ion

Sepa

ratio

nof

1-(5

-bro

mo-

fur-

2-il)

-2-

brom

o-2-

nitr

oeth

ane

(API

)fr

omim

puri

ties

(pyr

idin

e,ac

etic

anhy

drid

ean

dbr

omin

e)

Dur

amem

150

Dir

ect,

scal

able

sepa

ratio

nal

tern

ativ

eto

crys

talli

zatio

nan

dpr

epar

ativ

eco

lum

n

Mor

eco

nsec

utiv

efil

trat

ion

stag

esar

ere

quir

ed98

4Po

st-r

eact

ion

puri

ficat

ion

Sepa

ratio

nof

arom

atic

smin

e(3

91g

mol

−1)

(API

)fr

oma

dim

eric

hydr

azo

impu

rity

(781

gm

ol−1

)

Dur

amem

200

Effi

cien

tsep

arat

ion

alte

rnat

ive

toch

rom

atog

raph

y;in

this

latte

rlo

wso

lubi

lity

ofth

eso

lute

inth

eso

lven

tsus

edre

sulte

din

anex

cess

ivel

yla

rge

volu

me

ofso

lven

tsan

dlo

ngpr

oces

sing

times

−Slig

htre

duct

ion

offlu

xdu

eto

mem

bran

eco

mpa

ctio

n99

5Po

st-r

eact

ion

puri

ficat

ion

(rem

oval

ofG

TIs

)

Sepa

ratio

nof

Mom

etas

one

furo

ate

gluc

ocor

ticoi

d(A

PI)

from

Met

hyl

mes

ylat

e(M

eMS)

and

4-d

imet

hyla

min

opyr

idin

e(D

MA

P),

chos

enas

mod

elG

TIs

GM

T-oN

F-2

Low

estA

PIlo

ssco

mpa

red

tofla

shch

rom

atog

raph

yan

dre

crys

talli

zatio

n;ea

sysc

ale-

upw

ithlo

wla

bor

inte

nsity

Hig

hso

lven

tcon

sum

ptio

n(7

diav

olum

es)

(fro

man

inve

stm

ent

pers

pect

ive,

the

optio

nof

solv

ent

recy

cle

beco

mes

econ

omic

ally

feas

ible

for

OSN

)

122

6Po

st-r

eact

ion

puri

ficat

ion

App

licat

ion

ofdu

alm

embr

ane

diafi

ltrat

ion

(DM

D);

API

-IN

T(M

W=

675

g·m

ol−1

),its

isom

er(I

som

erB

),an

da

seri

esof

olig

omer

icim

puri

ties

base

don

API

-IN

Tw

ithM

W>

1000

g·m

ol−1

Dur

amem

300

Dur

amem

500

Rem

ovin

g99

%of

the

part

icul

arly

chal

leng

ing

high

erol

igom

eric

impu

ritie

s(i

.e.,

tetr

amer

and

high

erof

API

-IN

T)

Hig

hfr

esh

solv

entc

onsu

mpt

ion

redu

ced

byin

tegr

atin

ga

dow

nstr

eam

OSN

-bas

edso

lven

tre

cove

rysy

stem

into

the

diafi

ltrat

ion

puri

ficat

ion

proc

ess

via

Dua

lM

embr

ane

Dia

filtr

atio

n(D

MD

)

123

7Po

st-r

eact

ion

puri

ficat

ion

Mar

tius

Yel

low

(MY

,2,

4-D

initr

o-1-

naph

thol

sodi

umsa

lt)(M

.W.2

74.1

6g·m

ol−1

)(A

PIm

odel

)an

dB

rilli

antB

lue

R(B

BR

,M.W

.82

6g·m

ol−1

)(c

olor

impu

rity

inm

anuf

actu

ring

proc

ess)

STA

RM

EM

228

Effi

cien

tim

puri

tyre

mov

alM

ore

cons

ecut

ive

filtr

atio

nst

ages

are

requ

ired

126

8Po

st-r

eact

ion

puri

ficat

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4-ph

enyl

azop

heno

l(So

lven

tYel

low

7,SY

7)(A

PIm

odel

)an

dB

rilli

antB

lue

R(B

B)

(mod

elim

puri

ty)

Dur

aMem

300

Hig

hpr

oduc

tpur

ity(9

9.7%

)w

itha

prod

ucty

ield

of90

%M

ore

cons

ecut

ive

filtr

atio

nst

ages

are

requ

ired

123

9So

lven

texc

hang

eTo

luen

e/m

etha

nol,

exch

ange

with

quat

erna

ryam

mon

ium

salt,

tetr

aoct

ylam

mon

ium

brom

ide

(TO

AB

r,m

olec

ular

wei

ght5

47D

a),

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enas

am

arke

rso

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lven

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hang

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obta

ined

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ree-

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esca

scad

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uita

ble

for

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plet

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chan

geof

two

solv

ents

asth

isw

ould

requ

ire

anin

finite

num

bers

ofst

ages

102

169

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170 M. G. BUONOMENNA AND J. BAE

FIGURE 3 Schematic of membrane enhanced peptide synthesis (MEPS) (112).

as many times as necessary, adding a further amino acideach cycle, until the desired peptide sequence is obtained(Figure 3).

For successful realization of MEPS the membrane mustpossess excellent long term stability in the reaction solvent(in the case of patent, by Vasconceles et al. (112), the solventis DMF) and high selectivity between MeO–PEG–peptide,and side reaction products and excess reagents, includingunreacted amino acids, activators and deprotection reagents.In a recent article by Valtcheva et al. (29) it is reported thatcross-linked polybenzilimidazole membranes (see Table 1)have great potential to be used as OSN membranes as alter-native to polyimide membranes in various pharmaceuticalprocesses and among them in typical reaction conditionsused in peptide synthesis (20 wt.% piperidine in DMF) (113).The membranes reported in the patent (112) are two commer-cial membranes: zirconium oxide coated membrane (3 nmpore size), hydrophobic surface modified (Inopor GmbH,Germany) and a chemically cross-linked polyimide mem-brane (DuraMem, MET Ltd, UK) (see Table 2, entries 5 and16, respectively). Tubular membrane modules were used.

Both coupling and deprotection reactions were performedin the reaction vessel where mixing was provided via the cir-culation pump. The reaction solution is recirculated throughthe membrane cartridge and ensures good liquid mixingthroughout. Upon completion of each reaction, the system ispressurized. The resulting solvent flow permeating throughthe membrane is balanced by a constant flow of fresh solvent(DMF) supplied to the feed tank from the solvent reser-voir via an HPLC pump. The same procedure is applied ateach reaction/washing cycle. The peptide is assembled ona soluble polymeric support, methoxy–amino–PEG (MeO–PEG–NH2) with MW 5000 g mol−1, to increase retentionby the membrane (114).

Removal of Excess Reagents

An interesting example of OSN application in pharmaceu-tical industry for removal of excess of reagents has been

proposed by Ormerod (115) (Table 3, entry 2). The reactioninvestigated was the transesterification from a methyl esterto a benzyl ester in a molecule whose functionality includesa secondary alcohol (Scheme 3).

This reaction requires a large excess of benzyl alco-hol, but this reagent must be removed prior to the fol-lowing synthetic reactions. Removal of the excess benzylalcohol via distillation is not an option; chromatographyworks well, but requires a large quantity of silica. Thedirect OSN of the reaction mixture in Scheme 3 by usingStarmen-120 membrane yields insufficient separation ofbenzyl alcohol from product. Therefore OSN has been car-ried out on the reaction mixture after alcohols acylation(Scheme 4).

The acylated product and reagent have enough differ-ent molecular weights compared to the benzyl ester toallow their separation. In Table 4, the OSN results by usingStarmem-120 and Starmem-122 are reported. The impuritiesremain in the retentate stream and can be removed with asecond filtration over a membrane with MWCO of 400 Da.After the selective oxidation reaction step, the product isobtained in the permeate, whilst the impurities are retainedin the retentate (Table 5).

Purification

Removal of Impurities

The removal of impurities formed during the synthesis oforganic molecules used as drug substances is a major con-cern for all processes in the pharmaceutical industry (116).Crystallization and chromatography are mainly used forpurification. Crystallization can be a rather complex processthat is difficult to control and scale-up and requires sig-nificant optimization to generate acceptable process yields(117). Preparative column chromatography is widely usedin process development and is regarded as a reliable purifi-cation technology. However, it consumes large quantitiesof solvents, which require further downstream processingnot only to recover the solvents but also to concentrate

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 171

R'

OH

R

CO2Me

benzyl alcoholR'

OH

R

O O Ph

+ impurity A + impurity B

278 g/mol 372 g/mol 354 g/mol

SCHEME 3 Transesterification reaction with excess of benzyl alcohol.

O

R

R1

R'

O O Ph

M.W. = (R1 = CH3) 320 g/mol

(R1 = CH3CH2) 334 g/mol

+ impurity A + impurity B OR1

372 g/mol 354 g/mol (R1 = CH3) 150g/mol

(R1 = CH3CH2) 164 g/mol

O

O

+

SCHEME 4 Reaction mixture reported in Scheme 3 after acylation (115).

TABLE 4OSN of reaction mixture of Scheme 4 (115)

R1 in Scheme 4 Membrane Pressure (bar) Flux (Lm−2h−1)Rejection %

(acylated product) Result

CH3 Starmem-120(MWCO 200)

20 24 85 Benzyl ester separated fromacylated product, impuritiesremain

CH3CH2 Starmem-122(MWCO 220)

20 48 90

TABLE 5OSN of reaction mixture after selective oxidation (115)

OH

RR'

O O Ph

+ impurity A + impurity B

278 g/mol 372 g/mol 354 g/mol

MembranePressure

(bar)Flux

(Lm−2h−1)Rejection %

(product)Rejection %(impurity A)

Rejection %(impurity B) Result

Starmem-122(MWCO 220)

20 7 67 92 100 Product obtained in thepermeate not 100% pure

the diluted products. In addition, when processing solutionscontaining some oligomeric impurities, the active sites of thestationary phase can become blocked by these oligomericimpurities, thus making the chromatography difficult andtedious (118).

In Table 3 (entries 3-8) some example of OSN appli-cations in APIs purification are listed. Martinez et al. (98)

studied the application of OSN for the recovery of thepharmaceutical compound 1-(5-bromo-fur-2-il)-2-bromo-2-nitroethane, referred to as G-1 (Table 3, entry 3). G-1 is themain active ingredient for the preparation of pharmaceuticalproducts such as keratofural, which is used in veterinarianapplications as ophthalmic ointment to treat bacterial dis-eases and fungi; vitrofural, which sterilizes chemicals for

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172 M. G. BUONOMENNA AND J. BAE

Ethanol Activated carbon

Pure G-1

B

A

NFRecovered

G-1

Ethanol

Raw G-1(G-1+ impurities)

Proposed scheme for G-1 recovery

FIGURE 4 Schematic of 1-(5-bromo-fur-2-il)-2-bromo-2-nitroethane (G-1).© Elsevier. Reproduced from (98) with permission from Elsevier. Permission to reuse must be obtained from the rightsholder.

vitro plantlets production; and dermofural, which is an oint-ment for treatment of fungal skin diseases. G-1 is wasted inlarge amounts during the purification step with ethanol asthe washing agent. Figure 4 shows the proposed approachbased on OSN for G-1 recovery. In particular, the feasibilityof OSN process in dead-end configuration for G-1 recov-ery in realistic conditions, i.e., in presence of the impuritiesthat are typically present in the mixture ethanol/G-1, suchas pyridine, acetic anhydride and bromine, is evaluated. Fourmembranes were used: three based on polyamide (NF 90, NF270, and BW30 XLE) and the last on polyimide (Duramem150).

The experimental results showed that purification of G-1is technically viable via OSN by using Duramem 150 ifconsecutive filtration stages are applied. In Figure 5, theaccumulative recovery of G-1 respect to the total amount ofG-1 present in the initial solution is shown. After ten filtra-tion stages, a recovery of about 80% of G-1 is obtained. Theanalysis of the costs and profits indicated that this recoverypercentage is economically feasible with a payback period of0.72 years (98).

Another case-study concerning post-reaction purifica-tion via OSN is that one investigated by Ormerod et al.(99) to purify an API intermediate from a dimeric impu-rity (Table 3, entry 4). The API intermediate formationoccurs via the reduction of an aromatic nitro group to anamine (MW 390.5 Da), but a small quantity of a dimerichydrazo impurity (MW 781 Da) is formed. The specifica-tion limit of the hydrazo impurity was 0.05 wt%, whilst alarge scale batch contained ten times more. Considering theMW difference between the amine and the hydrazo impurity,OSN was a particularly suitable technique to attempt thispurification.

FIGURE 5 Performance of OSN process (10 stages) using Duramem150 for the recovery of 1-(5-bromo-fur-2-il)-2-bromo-2-nitroethane (G-1).© Elsevier. Reproduced from (98) with permission from Elsevier.Permission to reuse must be obtained from the rightsholder.

Cross-linked polyimide-based membranes of Duramemseries (Table 2, entry 5), i.e., Duramem 150 and 200 showedbetter performance in THF compared to other tested mem-branes such as Starmem 122, Starmem 240 (based onuncross-linked polyimide) and Solsep. The observed rejec-tion with the two Duramem membranes for the dimerichydrazo impurity was 98% in the solvent of the syntheticprocess, i.e., THF. However, in this solvent the desiredAPI was also rejected. It was reported that the structureof membranes based on polyimide such as the Duramemmembranes changed after treatment with polar solvents(methanol, acetone, acetic acid), leading to an increase influx and a reduction in rejection (119).

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 173

In the specific case of Duramem 150 and 200 membranes(based on cross-linked polyimide), the addition of 20% v/vof water to THF caused an increase of flux without rejec-tion modification. Adding an acid in order to fully protonatethe amine moieties of both the API intermediate and thedimer, caused the rejection of the API-intermediate to dropby approximately 20% with both Duramem 150 and 200,while the rejection of the dimer impurity remained suffi-ciently high to ensure its concentration is below the detectionlimit of the analysis technique used. However, the additionof acid restored the initial flux values without the addition ofwater in the solvent, maintaining the same relation betweenthe two membranes, i.e., Duramem 200 more permeable thanDuramem 150. Therefore, Duramem 200 in acidic (2.6 molequivalents) water/THF (20:80) mixture was the membraneselected to purify the dimeric API. After 5 diafiltration vol-umes, a yield of 82% of the purified API intermediate aminewas obtained.

The third case-study of post-reaction purification via OSNis the removal of genotoxic impurities (GTIs) (Table 3,entry 5). Among the various impurities to be removed dur-ing the API purification, GTIs represent an actual unsolvedproblem of utmost concern for pharmaceutical industry.

Several processes have been proposed to address this issue,including preparative column chromatography (117), use ofresins (118), and fractional distillations (120). The mostcommon process for API purification from GTIs is asequence of stages of solvent exchanges followed by recrys-tallization. Such process includes several steps, repeated APIrecrystallizations that result in losses in the mother liquor andhigh solvent consumption, hence increase of the total cost ofthe final API. Székely et al. (121) discussed the use of OSNas a general platform for the removal of GTIs to replace mul-tistep purification processes, as schematically illustrated inFigure 6.

The chemical class and molecular weights of the GTIsand API selected by Szekely et al. (121) such as model com-pounds to study their separation by OSN are resumed inFigure 7. The authors selected methyl ethyl ketone (MEK)and THF as solvents for the study for two reasons: the sol-ubility of the model compounds and the challenge offeredby the use of polymeric membranes in OSN with these sol-vents which dissolve many polymers. Two OSN membraneswith MWCO range of 250–350 Da were selected, namelySolSep NF010206 and GMT-oNF-2 (Table 2, entries 6 and11, respectively).

FIGURE 6 Schematic comparison of active pharmaceutical ingredient (API) purification by a conventional (left) and organic solvent nanofiltration (OSN)based process (right).© Elsevier. Reproduced from (121) with permission from Elsevier. Permission to reuse must be obtained from the rightsholder.

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174 M. G. BUONOMENNA AND J. BAE

FIGURE 7 Compounds classes and molecular weights (MWs) of themodel genotoxin impurities (GTIs) and active pharmaceutical ingredients(APIs) used in the organic solvent nanofiltration (OSN) experiments bySzékely et al. (121). The dotted lines indicates an MW of 300 Da.© Elsevier. Reproduced from (121) with permission from Elsevier.Permission to reuse must be obtained from the rightsholder.

Aiming at a widespread use of OSN, the report by Székelyet al. (121) describes in simple terms the operating princi-ples of diafiltration and highlighted the steps for operationdesign. The recommendation for this process is to select amembrane with high rejection for the API (> 95%) and toextend the number of diavolumes according to the require-ments for GTI removals. However, from an environmentalpoint of view, the diafiltration operations require a consider-able amount of fresh solvent to achieve a high yield of theproduct. Thus, the authors associated OSN with a solventrecovery step (distillation or organic solvent reverse osmosis)(121).

The necessity of a solvent recovery stage in OSNdiafiltration was recognized in two interesting studies: oneis a subsequent article by Székely et al. (122) and theother is by Sereewatthanawut and coworkers (123). In theSzékely study, two examples were selected for the eval-uation of OSN (122). The API was mometasone furoate(Meta) glucocorticoid, and methyl mesylate (MeMS) and4-dimethylaminopyridine (DMAP) were chosen as modelGTIs (Table 3, entry 5). The performance efficiency andsustainable impact of OSN for degenotoxification of APIshas been compared to recrystallization and flash chromatog-raphy. Successful degenotoxification was achieved in allcases with DMAP and MeMS reaching final GTI levelsbelow the regulatory thresholds with the exception of DMAPusing recrystallization. API losses were 5% and 6.4% forOSN, 6.4% and 11.9% for flash chromatography and 14.9%and 16.4% for recrystallization during the removal of DMAPand MeMS, respectively.

The API loss occurring during the purification processeshas a significant impact on the outcome of cost analysis.Mass and carbon intensity values are highest for OSN andlowest for recrystallization, while flash chromatography hasintermediate values. It is clearly possible to dramaticallyreduce mass losses by recycling the solvent but at the cost ofan increase in energy consumption. This issue is of particularimportance for the OSN process, which is the process withthe highest solvent requirements, and therefore with high-est energy requirements, when the option of recycling thesolvent is chosen.

In this context, Sereewatthanawut and coworkers (123)proposed the dual membrane diafiltration (DMD) processto reduce the use of solvent to achieve a high yield of theproduct (i.e., the diafiltration limitation). The DMD process(Figure 8) combines two membrane stages, i.e., a purifica-tion stage combined with a solvent recovery stage. Insteadof adding fresh solvent to the process, recovered solventfrom the solvent recovery stage is returned to the purifica-tion stage to provide further purification. The feasibility ofthe DMD process is demonstrated through the purification ofan intermediate compound involved in the synthesis of a drugcandidate in the Janssen Pharmaceutica portfolio (API-INT).This is the fourth case-study selected in the present reviewas example of post-reaction purification via OSN (Table 3,entry 6).

During the synthesis of API-INT (MW 675 Da), its iso-mer B, and a series of oligomeric impurities based on API-INT with MW >1000 Da (i.e., dimers, trimers, tetramers,pentamers, etc.) are also formed. The solvent used is THF.Permeate containing the purified product from the primarymembrane filtration (Membrane 1) is fed into the solventrecycle stage (Membrane 2). API-INT, isomer B, and theoligomeric impurities are retained by Membrane 2 in the sol-vent recovery stage, whilst the solvent freely passes throughthe membrane (Figure 8).

The membranes used in stage 1 and stage 2 areDuraMem500 and DuraMem300, respectively. The integra-tion of solvent recovery in the DMD process can massivelyreduce the fresh solvent requirement for purifying a fixedmass of feed solution I by up to 90%, in an ideal pro-cess where 0% of solvent is lost from the system viaevaporation and/or no dead volume is present in the sys-tem. Furthermore, DMD advantageously avoids generatinga diluted product which would require further downstreamprocessing. Sereewatthanawut et al. (123) compared the effi-ciency of OSN with that of crystallisation, and charcoaltreatment to remove oligomeric impurities from API-INT.The obtained results show that OSN is a very promis-ing technology as it successfully removed the problematicoligomeric impurities, with a yield of 99.2%.

The last two examples of post-reaction purification viaOSN discussed in this review concern removal of dye impu-rities such as Brilliant Blue R (BBR, MW 826 Da) (Table 3,entries 7, 8). One of the common process-related impurities

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 175

FIGURE 8 Dual membrane diafiltration (DMD) process: separation of compound X (in retentate stream) from compound Y (in permeate stream) during firststage; separation of compound Y (in the retentate stream) from the solvent, which recovered, is recycled back into the primary stage.© (2010) American Chemical Society. Reprinted with permission from (123). Permission to reuse must be obtained from the rightsholder.

in pharmaceutical manufacturing process is colored by-products. Because they are normally present at a trace level(�0.1%) and have structural similarities with the API, col-ored impurities are not easy to separate by conventionalprocesses and visibly affect the product quality. Muller et al.(124) pointed out that a major hurdle in APIs process devel-opment is to separate an organic synthesis intermediate froma mixture comprising multiple components, including inor-ganic salts, polymers, isomers, and colored by-products. Thelast two items were found to be the most challenging task inpurification when the first two could be easily removed byquenching and charcoal treatment, respectively.

Lin et al. (125) compared different purification schemesof OSN membrane processes for dyes impurities removal,i.e., a three-stage configuration and diafiltration. MartiusYellow (MY, 2,4-dinitro-1-naphthol sodium salt, MW274.16 Da) and Brilliant Blue R (BBR, MW 826 Da) werechosen respectively as API and color impurity in manufac-turing process. STARMEM 228, was chosen as membrane inthis study (Table 3, entry 7). Average rejections of the BBRmodel impurity in the first, second and third stage were 99.6,

99.1 and 100%, respectively, confirming the efficiency of theOSN process to separate the product and impurity into twostreams, i.e. the first stage permeate (Permeate 1) and thefinal retentate.

BBR was also the model impurity in another OSN study(Table 3, entry 8) for 4-phenyl-azophenol (Solvent Yellow7, SY7) purification (123). The objective of the investi-gation was to demonstrate the use of OSN technologyfor diafiltration purification of the model product in harshorganic solvent such as DMF. A schematic overview of thecase-study is shown in Figure 9. To separate BBR from themodel product (SY7), the ideal membrane should completelyretain BBR whilst allowing SY7 to pass. A high permeateflux is also desirable to minimize the required membranearea. A screening of four flat-sheet DuraMem membranes,DuraMem150, 200, 300, and 500 was carried out at differentDMF operating pressures. DuraMem300 showed the highestretention for BBR (99.6 % at 20 bar) with a high permeateflux (29 L m−2 h−1 at 20 bar).

The feasibility of the OSN process was demonstratedby using a spiral-wound membrane module in diafiltration

FIGURE 9 Objectives of the separation in N,N-dimethylformamide (DMF) of organic dye Solvent Yellow 7 (SY7) from organic dye Brilliant Blue (BB).© (2010) American Chemical Society. Reprinted with permission from (123). Permission to reuse must be obtained from the rightsholder.

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176 M. G. BUONOMENNA AND J. BAE

100 100.0

99.9

99.8

99.7

99.6

99.5

99.4

99.3

99.2

99.1

99.0

0.0

80

60

40

20

00 5 10

Yield of product (Experimental)Yield of product (Calculated)Purity of product (Experimental)Purity of product (Calculated)

15 20Diafiltration volume. N (-)

Yie

ld, Y

SY

7 (%

)

Pur

ity, P

SY

7 (%

)

FIGURE 10 Yield and purity profiles for the purification of Solvent Yellow 7 (SY7) from Brilliant Blue R (BBR) with N,N-dimethylformamide (DMF) usinga 1.8-in. × 12-in. DuraMem300 membrane module at 30◦C and 30 bar.© (2010) American Chemical Society. Reprinted with permission from (123). Permission to reuse must be obtained from the rightsholder.

mode using a kilo scale filtration unit. The system con-sisted of a 5 L capacity feed vessel and module housing(s)designed to hold the 1.8-in. × 12-in. spiral-wound module.Figure 10 shows the high product purity of 99.7% and prod-uct yield of 90% obtained after 10 diafiltration volumes. Thecalculated yield and purity were in good agreement withexperimental values, suggesting that the model is valid forprocess prediction and scale-up. The results obtained in thepurification of SY7 from BB demonstrated the feasibilityof OSN technology for the purification of organic solventsolutions containing products and impurities in the molec-ular weight range of 200–1000 Da. The concept can bereadily transferred to various applications in pharmaceuti-cal and natural products production (e.g., separation of APIfrom lower/higher MW by-products in the pharmaceuticalindustry and removal of free fatty acids (MW 200–300 Da)from glycerides (MW 600–800 Da) present in natural oils.Depending on the application target, the process can beadapted to deliver the target yield and purity (123).

Hybrid Processes

The utilization of membrane operations as hybrid systems,in combination with other conventional techniques or inte-grated with different membrane operations, is considered theway forward more efficient and rational processes. Threerepresentative examples of hybrid processes based on OSNfor purification are reported in the present review. The firstone focuses on the energy comparison among three purifi-cation systems: OSN, distillation, and a hybrid combinationof both techniques (126). The second example concerns the

synergic combination of OSN with a new emerging selectivepurification strategy, the molecularly imprinted polymers(MIP) (127). The third example describes the improvementof countercurrent chromatography (CCC) when combinedwith OSN (128).

Rundquist et al. (126) calculated that even with optimizedconditions for distillation, its overall energy consumption is32 times higher than that of OSN. However, for OSN, themaximum amount of solvent recovered is limited by solu-bility: the concentration should remain above the solubilitylimit to prevent solute precipitation that would damage themembrane module. Therefore, the maximum amount of sol-vent recovered by OSN is limited to 80% whereas distillationcan be continued until 90% of the original volume has beenrecovered. Rundquist also compared OSN, distillation, anda hybrid OSN/distillation combination on the basis of thesustainability metrics by Curzon et al. (129). The sustain-ability metric criterion is obtained as the ratio of the energyused for solvent recovery over the total mass of purifiedproduct.

This criterion showed that OSN was the more favorableprocess. However, as the volume of solvent recovered withOSN is lower compared to distillation, a relatively largeramount of waste will remain after OSN recovery process-ing. An equivalent volume recovery of 90% could be reachedby using OSN to recover 80% of the original solvent added,and distillation to recovery an additional 10% up to a 90%total. Equivalent volume recovery can be obtained throughuse of a combined approach of OSN and distillation. Energyassessment shows that the hybrid approach is nine timesmore efficient than distillation used alone (126).

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 177

Székely et al. (127) proposed a hybrid approach for thepurification of mometasone furoate (Meta), an API, fromGTIs: a synergic combination of OSN and MIP where OSNcan remove genotoxic 1,3-diisopropylurea (IPU) at highloads and MIP can remove IPU effectively at low concen-trations. IPU (MW 144 Da) is partially retained by OSNmembranes. A significant IPU removal requires diafiltra-tions at high dilution ratios, which leads to high API losses.Considering rejections of about 25% and 99%, for GTI andAPI, respectively, one can calculate about 90% GTI removal(with an API loss of 3%) for a dilution ratio of 3. However,applying a dilution ratio of 5 would allow for a GTI removalof 97% at the cost of 5% API loss.

In the hybrid approach OSN/MIP, diafiltration is firstused to remove the greater part of the IPU. On the basis ofthe first membrane screening to select the best OSN mem-brane, GMT-oNF-2 (see Table 2, entry 11) resulted to be themost suitable for separating Meta from IPU when dissolvedin dichloromethane, with a lower IPU rejection and a highMeta rejection. The transition between the OSN and MIPstages takes place with an IPU remaining concentration ofapproximately 100 ppm, a value particular suitable for MIPoperations. MIP is then used to polish the Meta rich-retentatestream with in ultra-low IPU levels.

Rundquist et al. (128) reported a combined CCC/OSNapproach for separating an API from a heavily contami-nated waste stream. The approach uses OSN to improvethe application of counter-current chromatography (CCC)in an industrial process. In this case, the OSN impact ison the mass intensity metric of the process, related to theorganic solvent recovery. OSN provides an efficient routefor exchanging solutes from the process solvent into thedesired mobile phase for CCC, generating a CCC feed con-taining less than 0.01% (area % by GC) of the originalprocess solvents. The recovered solvent was then success-fully recycled into a subsequent CCC run with no indicationof impurity build-up. Coupling OSN with CCC improvedthe mass-intensity of the CCC process, reducing the solvent

use by 56%. OSN can be a useful tool in facilitating theapplication of CCC to pharmaceutical process streams.

Additional examples about isolation and concentration ofpharmaceuticals by means of OSN are reported in the reviewby Vandezande et al. (8), who analyzed literature publishedup to 2007.

Solvent Exchange

In the pharmaceutical industry, a significant part of APIs isproduced in a multistep chemical synthesis, each of whichmust be performed in another solvent, while the isolationof the product itself occurs in a specific solvent. Thereforea problem of solvent exchange exists on transition fromone step to the other. Usually distillation is used for sol-vent exchange: the major part of the first solvent is distilledoff, and then the second solvent is repeatedly added to, anddistillated from the residue. Geens et al. (63) made an eval-uation for the energy consumption of nanofiltration insteadof distillation for a pharmaceutical company in the FlemishBelgium region. OSN is a nonthermal technique and themajority of power required for operation is consumed bya pump generating the required back-pressure. Therefore,in the study by Geens et al. (63), the energy used for theOSN pump was compared to that needed for the distilla-tion boiler. The comparison was in favor of the OSN processthat might become a profitable alternative to traditional dis-tillation. This conclusion was confirmed by Rundquist et al.(103), who investigated the feasibility of using OSN as analternative to distillation for solvent recovery showing thatOSN used 25 times less energy per L of recovered sol-vent than distillation. Membrane-based solvent exchangescan take place at room temperature or at the operationtemperature, regardless of the boiling point of the solventsinvolved.

Livingston (130) patented a membrane-based solventexchange process to alter the mixture of solvents in whichone or more solutes is dissolved. The invention provides

a) b)

SCHEME 5 Membrane-based solvent exchange process reported in Ref. (130): a) dead-end and b) cross-flow configurations.

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178 M. G. BUONOMENNA AND J. BAE

1st

stage TOABr rejection: 96.7 %

2nd

stage TOABr rejection: 99.2 %

TOABr mass balance: 91.7 wt% (after1 hr)

Flowrate ratio: 0.92

1 st

stage

Permeate 1

TOABr: 0.0049 wt%

Methanol: 31.8 wt%

Flowrate: 5.80 ml min–1

Initial solvent stream

TOABr: 0.139 wt%

Toluene: 99.8 wt%

Flowrate: 6.24 ml min–1

2nd

stage

Permeate 2

TOABr: 0.0012 wt%

Methanol: 55.7 wt%

Flowrate: 7.44 ml min–1

Retentate

TOABr: 0.147 wt%

Methanol: 59.2 wt%

Flowrate: 5.46 ml min–1

Replacing solvent stream

TOABr: 0 wt%

Methanol: 100 wt%

Flowrate: 5.74 ml min–1

Retentate

TOABr: 0.172 wt%

Methanol: 47.8wt%

Flowrate: 3.60 ml min–1

Replacing solvent stream

TOABr: 0 wt%

Methanol: 100 wt%

Flowrate: 5.02 ml min–1

1 st

stage

Permeate

TOABr: 0.0106 wt%

Methanol: 48.6 wt%

Flowrate: 6.10 ml min–1

Initial solvent stream

TOABr: 0.139 wt%

Toluene: 99.8 wt%

Flowrate: 5.00 ml min–1

TOABr rejection: 93.8 %

TOABr mass balance: 103.53 % (after1 hr)

Flowrate ratio: 1.00

1st

stage TOABr rejection: 74.0%

2nd

stage TOABr rejection: 90.8%

3rd

stage TOABr rejection: 98.4%

TOABr mass balance: 101.2 wt% (after1 hr)

Flowrate ratio: 0.95

2nd

stage

Permeate 2

TOABr: 0.0138 wt%

Methanol: 55.0 wt%

Flowrate: 6.28 ml min–1

Initial solvent stream

TOABr: 0.15 wt%

Toluene: 99.8 wt%

Flowrate: 4.33 ml min–1

3rd

stage

Permeate 3

TOABr: 0.0024 wt%

Methanol: 74.4 wt%

Flowrate: 7.37 ml min–1

Retentate

TOABr: 0.135 wt%

Methanol: 75.3 wt%

Flowrate: 3.30 ml min–1

Replacing solvent stream

TOABr: 0 wt%

Methanol: 100 wt%

Flowrate: 4.09 ml min–1

1st

stage

Permeate 1

TOABr: 0.0392 wt%

Methanol: 29.3 wt%

Flowrate: 5.36 ml min–1

FIGURE 11 Comparison of the technical data for the single, two- and three-stage solvent exchange processes studied by Kim et al. (102).© Elsevier. Reproduced from (102) with permission from Elsevier. Permission to reuse must be obtained from the rightsholder.

a process for carrying out a solvent exchange by alter-ing the composition of an organic liquid containing atleast one first solvent, at least one second solvent and atleast one solute. The obtained final organic liquid mix-ture has a reduced concentration of the first solvent andan increased concentration of the second solvent. Preferredmembranes reported in this patent are integrally skinnedPI membranes. Two general membrane operation modes,the dead-end (Scheme 5a) and cross-flow filtration pro-cesses (Scheme 5b), are proposed for the OSN-basedexchange process.

In a dead-end process (Scheme 5a), pressure is appliedto the organic liquid through an inert gas. The organic liq-uid above the membrane is kept stirred using a stirrer toreduce fouling of the membrane surface. A portion of theorganic liquid permeates through the membrane. The sec-ond solvent is fed to the cell via a pump and a second pumpremoves organic liquid from the cell. This style of opera-tion may lead to lower fluxes than the same configurationoperating continuously, as in the batch process the soluteduring each filtration stage may tend to build up as a layeron the surface of the membrane as it becomes concentrated

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ORGANIC SOLVENT NANOFILTRATION AND PHARMACEUTICALS 179

in the retentate. However, it will provide a solvent exchangeto the same degree as the continuous process while using lessamount of the second solvent. In the cross-flow configuration(Scheme 5b), it is possible to use the cross-flow velocity toavoid build-up of solute layers on the membrane surface.

Kim et al. (102) proposed a continuous process for sol-vent exchange (Table 3, entry 8): a counter-current mem-brane cascade. The effect of the process parameters, suchas number of stages and flow rate ratio of replacing solventto initial solvent, on the solvent exchange performance istested through simulations and experiments. Two solventscommonly employed in organic synthesis such as tolueneand methanol were chosen for use in this study. In thisstudy, a quaternary ammonium salt, tetraoctylammoniumbromide (TOABr, MW 547 Da), was chosen as markersolute to represent an API intermediate. A STARMEM122 membrane (Table 2, entry 3) was used. Figure 11 sum-marizes key operational parameters and compares detailedresults of the single-, two- and three-stage solvent exchangeprocesses. From these experiments, a general conclusionwas that increasing numbers of stages in the cascadegave higher concentrations of the replacing solvent inthe product stream. The experimental results are in goodagreement with the simulations and indicated that with athree-stage cascade a 75.3% solvent exchange is obtained.However, this configuration will not be suitable for com-plete exchange of two solvents as this would require aninfinite numbers of stages (102). Therefore, it was suggestedto integrate it into other solvent exchange processes or tomodify it.

CONCLUSIONS

The success of the application of OSN for the removal ofAPIs from organic solvents depends on an in-depth analysisof the system, in particular of the solute-solvent combi-nation. The selected membrane should be resistant againstthe solvent(s) used in the application, which might be dif-ficult when aggressive solvents are considered. The intenseresearch of this last decade in this direction gave interestingnew polymeric materials, which can be used with harsh sol-vents such as DMF or THF. On the other side, the membraneis not efficient enough by itself. An accurate study of theexperimental process in terms of the optimal stage numberfor the membrane cascade is mandatory.

The advantages of OSN in terms of energy consumption,operational feasibility and scalability compared to other sep-aration techniques such as flash chromatography, distillationor crystallization, prevail significantly on the disadvantageof using considerable amount of fresh solvent to achievea high yield of the product, if OSN is integrated with asolvent recovery stage. The interest of OSN is confirmedby the promising results obtained with membrane enhancedpeptide synthesis (MEPS) in a new technology platform thatadvantageously combines OSN with solution-phase peptidesynthesis.

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