Droplet-Based Evaporative System for the Estimation of Protein Crystallization Kinetics.
Moo Sun HongAmos E LuJaehan BaeJong Min LeeRichard D BraatzPublished in: Crystal growth & design (2021)
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.
Keyphrases
- single cell
- high throughput
- protein protein
- amino acid
- aqueous solution
- mass spectrometry
- binding protein
- small molecule
- stem cells
- machine learning
- blood brain barrier
- risk assessment
- deep learning
- electronic health record
- climate change
- big data
- liquid chromatography
- high speed
- ms ms
- convolutional neural network
- simultaneous determination