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Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics

[Image: see text] Crystallization is a potential cost-effective alternative to chromatography for the purification of biotherapeutic proteins. Crystallization kinetics are required for the design and control of such processes, but only a limited quantity of proteins is available during the initial s...

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Autores principales: Hong, Moo Sun, Lu, Amos E., Bae, Jaehan, Lee, Jong Min, Braatz, Richard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569678/
https://www.ncbi.nlm.nih.gov/pubmed/34759784
http://dx.doi.org/10.1021/acs.cgd.1c00231
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author Hong, Moo Sun
Lu, Amos E.
Bae, Jaehan
Lee, Jong Min
Braatz, Richard D.
author_facet Hong, Moo Sun
Lu, Amos E.
Bae, Jaehan
Lee, Jong Min
Braatz, Richard D.
author_sort Hong, Moo Sun
collection PubMed
description [Image: see text] Crystallization is a potential cost-effective alternative to chromatography for the purification of biotherapeutic proteins. Crystallization kinetics are required for the design and control of such processes, but only a limited quantity of proteins is available during the initial stage of process development. This article describes the design of a droplet-based evaporative system for the evaluation of candidate crystallization conditions and the estimation of kinetics using only a droplet (on the order of μL) of protein solution. The temperature and humidity of air fed to a flow cell containing the droplet are controlled for evaporation and rehydration of the droplet, which are used for manipulating supersaturation. Dual-angle images of the droplet are taken and analyzed on-line to obtain the droplet volume and crystal sizes. Crystallization kinetics are estimated based on a first-principles process model and experimental data. Tight control of temperature and humidity of the air, fast and accurate image analysis, and accurate estimation of crystallization kinetics are experimentally demonstrated for a model protein lysozyme. The estimated kinetics are suitable for the model-based design and control of protein crystallization processes.
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spelling pubmed-85696782021-11-08 Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics Hong, Moo Sun Lu, Amos E. Bae, Jaehan Lee, Jong Min Braatz, Richard D. Cryst Growth Des [Image: see text] Crystallization is a potential cost-effective alternative to chromatography for the purification of biotherapeutic proteins. Crystallization kinetics are required for the design and control of such processes, but only a limited quantity of proteins is available during the initial stage of process development. This article describes the design of a droplet-based evaporative system for the evaluation of candidate crystallization conditions and the estimation of kinetics using only a droplet (on the order of μL) of protein solution. The temperature and humidity of air fed to a flow cell containing the droplet are controlled for evaporation and rehydration of the droplet, which are used for manipulating supersaturation. Dual-angle images of the droplet are taken and analyzed on-line to obtain the droplet volume and crystal sizes. Crystallization kinetics are estimated based on a first-principles process model and experimental data. Tight control of temperature and humidity of the air, fast and accurate image analysis, and accurate estimation of crystallization kinetics are experimentally demonstrated for a model protein lysozyme. The estimated kinetics are suitable for the model-based design and control of protein crystallization processes. American Chemical Society 2021-10-18 2021-11-03 /pmc/articles/PMC8569678/ /pubmed/34759784 http://dx.doi.org/10.1021/acs.cgd.1c00231 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Hong, Moo Sun
Lu, Amos E.
Bae, Jaehan
Lee, Jong Min
Braatz, Richard D.
Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title_full Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title_fullStr Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title_full_unstemmed Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title_short Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics
title_sort droplet-based evaporative system for the estimation of protein crystallization kinetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569678/
https://www.ncbi.nlm.nih.gov/pubmed/34759784
http://dx.doi.org/10.1021/acs.cgd.1c00231
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