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Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering
Published on: August 14, 2018
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Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
Moo Sun Hong1, Amos E Lu1, Jaehan Bae2
1Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Crystal Growth & Design
|November 11, 2021
Summary
This study introduces a microdroplet system for protein crystallization, enabling efficient process development with minimal sample. It accurately estimates crystallization kinetics for biotherapeutic protein purification.
Area of Science:
- Biotechnology
- Chemical Engineering
- Crystallography
Background:
- Protein crystallization offers a cost-effective purification method for biotherapeutics.
- Limited sample availability in early development hinders process design.
- Kinetics data is crucial for controlling protein crystallization processes.
Purpose of the Study:
- To design a droplet-based evaporative system for evaluating crystallization conditions.
- To estimate protein crystallization kinetics using microscale sample volumes.
- To enable model-based design and control of biotherapeutic protein crystallization.
Main Methods:
- A droplet-based evaporative system with controlled temperature and humidity was developed.
- Microdroplets (μL scale) of protein solution were used for experiments.
- Dual-angle imaging and on-line analysis determined droplet volume and crystal size.
- First-principles modeling combined with experimental data estimated crystallization kinetics.
Main Results:
- The system successfully evaluated crystallization conditions and estimated kinetics from microdroplets.
- Accurate control of environmental parameters and image analysis were demonstrated.
- The method was validated using a model protein, lysozyme.
- Estimated kinetics were suitable for process design and control.
Conclusions:
- The droplet-based system facilitates efficient protein crystallization process development with minimal sample.
- Accurate estimation of crystallization kinetics is achievable at the microscale.
- This approach supports the model-based design and control of biotherapeutic purification processes.
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