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Isothermal Microcalorimetry for Pharmaceutical Stability Assessment
Malin Suurkuusk, PhDTA Instruments, Sweden
SOS 2019 Amsterdam
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Calorimetry – a universal technique
Virtually all chemical and physical processes result in either heat production or heat consumption.
A heat flow calorimeter measures heat flow
dQ/dt
Heat flow is directly related to the heat production (or consumption) rate in a sample
P
P and dQ/dt is measured in
W = J/s
A microcalorimeter is a calorimeter that can measure heat production in the µW range
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Microcalorimetric techniques and applications
Ampoule
calorimetry
Perfusion
calorimetry
Solution
Calorimetry
Stability Compatibility Amorphicity
Interactions in
solution
Effect of
atmosphere
Air/N2 and/or RH
Polymorphism
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Calorimetric techniques
Differential Scanning Calorimetry –DSC
• For the study of solid state drug stability
• For the characterization of the thermal stability of proteins and othermacromolecules in solution
Isothermal Microcalorimetry – IMC
For stability, compatibility, safety assessment, microorganism growthstudies, curing, sorption, interactions, polymorphism, amorphicity, metabolismetc.
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Scanning and Isothermal Calorimetry
A (s) →B
Unstable System
dQ/dt 0 W at T= const
Kinetic:
Thermodynamic:
Stable System
dQ/dt = 0W at T=const
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Isothermal microcalorimetry
An isothermal microcalorimeter measures heat produced or
consumed during a physical process or a chemical reaction
in terms of heat flow at a constant temperature with
microwatt sensitivity or better.
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Microcalorimetry with and without humidity
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Benefits of using IMC for stability assessment
• Highly sensitive – no need for accelerated conditions
• Can detect both chemical and physical changes.
Physical changes can be related to
◆ Polymorphism
◆ Amorphicity
◆ Hydrate- and Solvate-state.
• Non-specific
• Non-destructive and
real-time data
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Decomposition kinetics - ASA
Decomposition of ASA at 25, 30 and 35C.
Upper graph: Isothermal heat flow vs time
curves: data as obtained from the
calorimeter.
Degree of conversion:
𝛼 = 𝑐𝑢𝑚𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 ℎ𝑒𝑎𝑡 /Δ𝑟𝐻
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Ampoule calorimetry and stability
Otsuka T., Yoshioka S., Aso Y. and Terao T.,
Chem. Pharm. Bull., 42(1) 1994
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Willson, R.J., A.E. Beezer, J.C. Mitchell, and W. Loh, Determination of thermodynamic and kinetic parameters from
isothermal heat conduction microcalorimetry: applications to long-term-reaction studies. J. Phys. Chem., 1995.
99(7108-7113).
Fitting kinetics models to calorimetric data
For a single component reaction:
• Zero order kinetics – Heat flow is constant as a function of time. Rate constant from P=DH · k · [A]
• First order kinetics – Ln(Heat flow) is linear. Rate constant from the slope
• Second order kinetics – (Heat flow)-0.5 is linear. Rate constant from the slope
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Stability and compatibility tests
•Stress tests can be performed for screening with increased temperature
and/or relative humidity
•Can be performed both qualitatively (Yes/No) and quantitatively
(understanding the kinetics of the process)
•On the API alone and in combinations with excipients – Compatibility
•On the formulated product
•With packaging material
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Primary screen of stability
Measure heat
flow over time of a
known amount of
API
Assume stable
Assume unstable
No detectable
heat flow
Measurable heat flow
Discard as API
Conduct a quantitative
analysis to determine
the rate constant
Flow chart redrawn from Pharmaceutical Isothermal calorimetry by S. Gaisford &
M.A.A O´Neil. Concept from Pikal, Themometric Application Note 335
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Primary screen of binary mixture
Measure heat flow
of API
Assume compatible
Assume
unstable/incompatible
Difference in data
Discard API/excipient
combination
Conduct a quantitative analysis
to understand the interaction
Measure heat flow
of excipient
Calculate
theoretical heat flow
Measure actual
heat flow of mixture
Compare the
theoretical and
measured heat flow
No difference
in data
Flow chart redrawn from Pharmaceutical Isothermal
calorimetry by S. Gaisford & M.A.A O´Neil. Concept
from Pikal, Themometric Application Note 335
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Compatibility Experiment with TAM
Phipps, M.A.; Mackin, L.A. Pharm. Sci. Tech. Today, 3(1), 9-17 (2000)
TAM Temperature: 50 °C
Relative Humidity: 75%
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Hydrate formation in Ethinyl Estradiol
0 20 40 60 80 100 1200
200
400
600
P/m
/uW
g-1
Time /h
-5 0 5 10 15 20 25 30-200
0
200
400
600
P/m
/uW
g-1
q/m /J g-1
Measuring
temperature: 45ºC
•Blue trace: 100 %RH
•Red trace: 95 % RH
•Green trace: 88 %RH
)/()( HqfTkP D=
Rate equation:
Peter Vikegard, J&J – Cilag Ag, Switzerland
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Avrami’s model
-5 0 5 10 15 20 25 30-200
0
200
400
600
P/m
/uW
g-1
q/m /J g-1
82 84 86 88 90 92 94 96 98 1000
1
2
3
4
5
x 10-4
Avr
am
i ra
te c
onsta
nt
Relative humidity (%)
•Blue trace: experimental
data
•Black trace: fitting
equation (k=0.0005 s-1)
•Rate constant as a
function of relative
humidity
RHcritical
2/1)]/1ln([)/1(2)/(
)/()(
HqHqHqf
HqfTkP
D−−D−=D
D=
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Summary stability and compatibility
• Multichannel capability for parallel analysis
• High sensitivity gives the ability to detect instability and
interactions at or close to ambient temperatures
• Samples are reusable if no reaction is detected
• Ability to expose the sample to relative humidity
• Experiments may be long, but not as long as accelerated
aging studies.
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BIOPHARMACEUTICAL STABILITY
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Biopharmaceutical Stability Assessment
Proteins, mAbs, as pharmaceuticals is the fastest growing
field in the biopharmaceutical industry.
• Usually requires high concentrations (100 mg/mL or more)
• High concentration Mab formulations concerns
▪ Denaturation
▪ Aggregation
Rapidly determine the best buffer and excipient
conditions that maximize stability and minimize
protein aggregation for at least one year at
required high concentrations
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Stability method challenge
•Traditional methods for the characterization and analysis of protein stability
and/or aggregation often require other physical or chemical conditions than
those in a formulation and therefore provide little or no predictive power,
necessitating long incubation times for shelf life determination.
•Methods for structural stability and aggregation include DSC, DSF, ICD, SEC
and light scattering. These methods will require dilution of formulations and
long term incubations prior to analysis
•Desired to find a methodology to be used on the actual formulation that will
give fast and accurate stability data from the rates of denaturation/aggregation
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Protein denaturation temperature as a stability indicator
•Excipient to stabilize against chemical and physical degradation
•Choice of an additive or a formulation is generally determined empirically
•DSC is the fastest way of evaluating
additives effect on Tm, reversibility
•Techniques for studying denaturation
and not aggregation:
▪pH far from isoelectric point
▪Dilute solutions
▪Reversibility
Olsen et al., Thermochimica Acta, 484, (2009), 32-37
Native Denatured Irreversibly
denatured
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Denaturation
Precedes
Aggregation
Denaturation,
Aggregation Occur
Simultaneously
ku kagg
ku >> kagg
ku << kagg
k
-100
-50
0
50
100
150
50 55 60 65 70 75 80
Cp
Temp deg C
mAb5
HEWL
Two Different Mechanisms of Protein Denaturation/Aggregation
Schön, A. et al. “ Temperature Stability of Proteins: Analysis of Irreversible
Denaturation Using Isothermal Calorimetry” Proteins. (2017)
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DSC of the Irreversible Denaturation of HEWL
Schön, A. et al. “ Temperature Stability of Proteins: Analysis of Irreversible
Denaturation Using Isothermal Calorimetry” Proteins. (2017)
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-40
-20
0
20
40
60
0 1 2 3 4 5 6
pH 9.0 59deg CH3pH 9.0 59deg CH5pH 9.0 58deg CH3pH 9.0 58deg CH5pH 9.0 57deg CH3pH 9.0 57deg CH5
dQ
/dt k
ca
l/D
ay/m
ol
Time (Days)
IMC of HEWL pH 9: Endotherm Occurs Before Exotherm
Denaturation Precedes
Aggregation
Endotherm
Exotherm
IMC of the two events HEWL denaturation
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Non-linear Least Squares Fit of HEWL pH 9 Heat Flow
Heat Flow is Proportional to the Amount of
Denatured and Aggregated Protein Formed
59 °C
58 °C
57 °C𝑑𝑄/𝑑𝑡= 𝑘𝑢∆𝐻𝑢𝑒
−𝑘𝑢𝑡 + 𝑘𝑎𝑔𝑔𝑄𝑎𝑔𝑔𝑒−𝑘𝑎𝑔𝑔𝑡
+ 𝑘𝑢𝑄𝑎𝑔𝑔𝑒−𝑘𝑢𝑡 − ሺ𝑘𝑢
+ 𝑘𝑎𝑔𝑔)𝑄𝑎𝑔𝑔𝑒−ሺ𝑘𝑢+ 𝑘𝑎𝑔𝑔)𝑡
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Results of IMC Characterization of Proteins
This data can be plotted according
to the Arrhenius equation (lnk vs 1/T)
Extrapolating to room temperature
will give a rate of 0.00285 days-1 at
25 °C which corresponds to about
350 days.
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Long term stability of HIV-1 neutralizing mAb
DSC
IMC
SEC after
12 weeks
at 25 C
B.R. Clarkson et al. Long term stability of a HIV-1 neutralizing monoclonal
antibody using isothermal calorimetry, Analytical Biochemistry (2018)
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Results
Calculated from results at 60 C
B.R. Clarkson et al. Long term stability of a HIV-1 neutralizing monoclonal
antibody using isothermal calorimetry, Analytical Biochemistry (2018)
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Comparing SEC with IMC
Correlation between %mAb
aggregates measured by
SEC (ACQUITY UPLC)
after 10 weeks’ incubation
at 25°C and the
denaturation/aggregation
rates measured by TAM,
10 day test.
D
A
Also correlated with 5⁰C data at 0.98 & 40 ⁰C data at 0.86
B.R. Clarkson et al. Long term stability of a HIV-1 neutralizing monoclonal
antibody using isothermal calorimetry, Analytical Biochemistry (2018)
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IMC stability measurements of biopharmaceuticals
•Can detect denaturation/aggregation kinetics at temperatures below the Tm
•Accurate stability assessment in 3-5 days, compared to weeks for storage tests
•Provides sensitivity to detect heat signal in small volume (<1 mL), high protein concentrations (>100 mg/mL)
•Provides adequate sample throughput (1-48 samples) to assess multiple buffers and excipient conditions simultaneously
•IMC can much quicker then conventional methods identify mAbs and their formulations that have best long term stability
•In addition, methods as SEC, AUC and DLS measure the existence of aggregates after storage, while IMC measures rates of aggregation andtherefore have the potential to predict time of storage
Thanks!