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UNESCO/IUPAC Postgraduate Course in
Polymer Science
Molecular weight and dimensions of polymers and their assemblies
Jiří Horský
Institute of Macromolecular Chemistry ASCR, Heyrovsky sq. 2, Prague -162 06
http://www.imc.cas.cz/unesco/index.html
Lecture:
Polymers
M gives independent information
M affects
properties such as density, degree of crystallization, Young modulus, melt viscosity, glass transition temperature etc
Consequently, M affects application use and processing methods
M
cRTc =Π → 0
[ ] aKM=η
+
+=
→
...2
sin3
161
1 2222
0
θλ
πθ
g
c
Rn
MR
Kc
Osmotic pressure (absolute, 5 103-106)
Static Light scattering (absolute, 104-107)
Intrinsic viscosity (relative, >103)
And many more - analytical ultracentrifugation, ebullioscopy, end-group analysis, vapor pressure osmometry, ….
Classical methods for determination of molecular weight of polymers(see Polymer solutions in a nutshell )
(Mark-Houwink Eq.)
Zimm plot (2 D plot for 2 independent variables) => M, A2, Rg
Polymer sample (usually) contains molecules of various polymerization degree
Experimental methods give us only some average of the molecular weight
a
c
KMc
Y =
→0
∑=i
iYY ∑=i
aii
a KMcMcK a
i
aiiMwM
1
= ∑
rigid 0.8 flexible8.05.011ηLS >−==−=Π aaa
∑
∑∑ −
−− =
=
iii
iii
iii
Mw
MwMwM 1
01
1n ∑
∑∑ ==
iii
iii
iii
Mw
MwMwM 0
1
w
∑
∑=
iii
iii
Mw
MwM 1
2
z
number-average weight-average z-average mol. weight
∑
∑∑ =
=−
iii
iii
iii
Mx
MxMxM 0
11
n∑
∑=
iii
iii
Mx
MxM 1
2
w∑
∑=
iii
iii
Mx
MxM 2
3
z
Averages with integer a can be defined as the ratio of moments around the origin
w weight fraction, x molar fraction
Combined averages give only partial information on the sample molecular weight non-uniformity : polydispersity index Mw/MnFull information:relative amount of each polymerization degree – a distribution function
number DF - xi, weight (mass) DF – wi
cumulative discrete vs continous DF
cumulative vs differential DF
∑∑==
i
ji
i
jj wx
11
dM
dcumDFdifDF =
Mathematically defined DF
Discrete DF Poisson most-probable)!1)(1(
1
−+=
−−
Pa
aPew
Pa
P12 )1( −−= P
P aPaw
0 25 50 75 1000.00
0.02
0.04
0.06
0.08
0.10
x
DP
Poisson PI=1.01Most probable PI=1.95
0 25 50 75 1000.00
0.02
0.04
0.06
0.08
0.10
w
DP
Poisson PI=1.01Most probable PI=1.95
Continuous DF
Schulz-Zimm
MaMMb
aw b
b
d)exp()1(
d1
−+Γ
=+
Mb
M
aMaw d)ln
1exp(
1d 2
2−=π
0 50000 100000 1500000.00000
0.00002
0.00004
dx/d
M
M
Mn=40000
PI = 1.1,1.3, 1.75, 2.0
0 50000 100000 1500000.00000
0.00002
0.00004
dw/d
M
M
Mn=40000
PI = 1.1,1.3, 1.75, 2.0
logarithmic normal
0 50000 100000 1500000.0
0.2
0.4
0.6
0.8
1.0
cummulative DFs
x, w
M
Mn=40000 M
w=60000
number DF, weight DF
0 50000 100000 1500000.00000
0.00001
0.00002
dw/d
M
M
Mn=40000 M
w=60000
log-normal, Schulz-Zimm
Principle of Size Exclusion Chromatography
solvent flow
Partition between the flowing solvent and the solvent in the pores
Elution time (volume) is a function of the particle (hydrodynamic) size
Above certain size all particles are equal, flow only through the interstitial volume
log M
V0 V0+ Vi
log M=a +b V +….
Detectors: (i) mass sensitive (refractometer, evaporative light scattering detection)(ii) molecularly sensitive (end group UV absorption)(iii) molecular-mass sensitive (light scattering, viscometric)
Standard configuration (i); up-to-date = multidetector (i)&(iii)
Me
5 6 7 8 9
V [mL]
I [a
rbitr
ary
units
] Baseline substraction
Normalization
∫=
R
L
d)(
)()( V
V
VVI
VIVw
5 6 7 8 90.0
0.5
1.0
1.5
2.0
2.5
V [mL]
d w
/d V
[1/
mL
]
Point to point correspondence of cumulative V and M or log M distributions
∫ ∫∫ ==L
LL
log
log
log
log
dlogdlog
d)(d)(dlog)(log
V
V
M
M
M
M
MM
VVwVVwMMw
V
MVw
Mw
dlogd
)()(log
−=M
MwMw
303.2)(log
)( =
5 6 7 8 90.0
0.5
1.0
1.5
2.0
2.5
V [mL]
d w
/d V
[1/
mL
]
3 40
1
2
3
M
d w
/d lo
gM
log M
∫ ∫∞ ∞
==0 0
1ddd
dloglogdd
MM
wM
M
w Mn = 3100 Mw = 3780 PI = 1.22
0 5000 10000 150000.0
0.1
0.2
0.3
0.4
M
104 d
w/d
M
M(V) – valid for the column, polymer, solvent etc
SEC with a mass detector only
• calibration by polymer standards
• universal calibration – hydrodynamic volume [η]M (V) Mark-Houwink Eq. log [η]M =log K+(1+a)log M
• polystyrene calibration
SEC with mass & molecular-mass detectors
viscosity detector – gives M through the universal calibration without Mark-Houwink parameters
static light-scattering detector
Averages of M: directly according discreet definitions
Distribution: in two steps (i) LS data are used for the calibration equation (ii) RI data are treated in standard way
Sedimentation Analysis – Analytical Ultracentrifuge(macromolecular archelogy? – Swedberg 1923, Nobel prize 1926)
Declared clinically dead in 1980’s but then resurrected (natural macromolecules)
centrifugal force=friction resistance (f u) => sedimentation velocity u
sedimentation coefficient sω
sedimentation velocity
T
vMD
f
vM
r
us
R
)1(
N
)1(
A2
ρρω
−=−==
ω
sedimentation equilibriumsmall ω sedimentation creates temporal concentration gradient
which is opposed by diffusion, equilibrium gradient is achieved
c
Mr
c
r~
d
d1
Principle of Field –Flow Fractionation(J. C. Giddings)
solvent flow
Elution time (volume) is a function of the particle (hydrodynamic) sizebigger particles (up to 0.1 mm vs. SEC <100 nm) smaller adsorption
change of mechanism (bigger particles first), absolute detection LS
Force perpendicular to the flow
fieldthermal, electrical..assymetrical flow
Why MS if we have SEC? ResolutionMS: M/w1/2=10000 SEC: Ntp=5.54(V/w1/2)2=10000 V/w1/2=42
The Nobel Prize in Chemistry 2002
“ for the development of soft desorptionionisation methods for mass spectrometricanalyses of biological macromolecules”
MALDI-TOF mass spectrometry
Mass Spectrometry
Mass spectrometry
zeUmv =2
21
Principle: a charge particle is accelerated in electromagnetic field
For measurement of molecular weight, M,
(i) the sample must be vaporized and charged (ion source)(ii) particles must be separated according to M/z (mass analyzer)(iii) particles with the same M/z must be counted (detector)
In electric field
Low-molecular-weight compounds:
M is used for identification
vaporization puts an upper limit on measured M
the most widely used electron impact ionizations fragments the sample molecules
Fragmentation gives information on the structure of the compound
For a long time, polymer researches used MS only for analyzing
At the same time, they were fascinated by the MS precision
polymer additives pyrolysis products
etc…
M atrixA ssitedL aserD esorptionI onization
T imeO fF light
M assS pectrometry
Matrix:2,5-dihydroxybenzoic acid1,8,9-trihydroxyantracene
Laser:337 nm, pulse <4 ns, 40 kW/4mW
Sample preparation
1- 2 µµµµL per spot (2-10x)
0.2% sample
1-2% matrix
& ionizitation agent (NaCl, AgTFA)
+
++
PST Mw/Mn(kDa)
MALDI 62.3/61.9
SEC 71.3/71.1
For samples with M>20 000 multidetector SEC is the first choice
3000 4000 50000
2000
4000
a.i.
m/z
40000
2000
4000
a.i.
m/z
3940 3960 39800
2000
4000
a.i.
m/z
MALDI-TOF MS can distinguish individual oligomers
and even isotopic resolution(in reflector mode)
Monoisotopic peak (C12 only)
The strength of MALDI-TOF is with samples M<20000 (For samples with M>20 000, the first choice is the multi-detector SEC)
M = Meg1 + n Mm + Meg2+Mia
HO [CH2CH2O] [CH2CH2O].....[CH2CH2O] H Na+
1200 1400 1600 1800 2000 2200 2400 2600 28000
1000
2000a.
i.
M/z
17+ 39 * 44 + 1 + 23= 1758
PEG:MPEGPEG:MPEG1 : 1
18000
1000
a.i.
M/z
1714
1758
17721816
1200 1400 1600 1800 2000 2200 2400 2600 28000
1000
2000
3000
4000
5000
6000
7000
a.i.
M/z
Mixture of two homopolymers
PEG:PPG
1700 1720 1740 1760 1780 1800 1820 1840 18600
1000
2000
3000
4000
5000
6000
7000
a.i.
M/z
PEG : PPG2 : 1
1758
1782
18021724
1000 1250 1500 1750 2000 2250 2500 2750 3000 3250 35000
1000
2000
a.i.
M/z
Binary copolymers (PEG/PPG -Pluronic)
M = Meg1+ n Ma + m Mb + Meg2 + Mia
17500
1000
2000
a.i.
M/z
1750 1760 1770 1780 1790 18000
1000
2000
a.i.
M/z
1782
1782=17+30*58+1+23 1782=17+29*44+8*58+1+2322*58 = 29*44
d e n d r i m e r
Si
Si
Si
Si
Si
Si
Si
Si
Si
Si
Si
Si
Si
10 00 1 500 2 000 25 000
2 00
4 00
6 00
8 00
10 00
12 00a.
i.
M /z
∆ 126
1812
Si
SiSi Si
Si
Si
Si
Si
Si
SiSi
Si
Si
Ag
MALDI-TOF mass spektrumof 2nd generatiom carbosilane dendrimer
(defect detection)
Montaudo G et al. Prog. Polym. Sci 31, 277-357 (2006 )
www.iupac.org/publications/books/pbook/PurpleBook-C3.pdf
Kostanski LK et al. J. Biochem. Biophys. Methods 58, 159–186 (2004)
Literature:
UNESCO/IUPAC Postgraduate Course in
Polymer Science
Molecular weight and dimensions of polymers and their assemblies
Jiří Horský
Institute of Macromolecular Chemistry ASCR, Heyrovsky sq. 2, Prague -162 06
http://www.imc.cas.cz/unesco/index.html
Lecture: