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Automated solubility screening platform using computer vision

Authors :
Parisa Shiri
Daniel J. Griffin
Sebastian Steiner
Paloma L. Prieto
Fan Yang
Sean Clark
Tara Zepel
Jonathan Reifman
Henry Situ
Veronica Lai
Jason E. Hein
Shad Grunert
Lars P. E. Yunker
Source :
iScience, iScience, Vol 24, Iss 3, Pp 102176-(2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Summary Solubility screening is an essential, routine process that is often labor intensive. Robotic platforms have been developed to automate some aspects of the manual labor involved. However, many of the existing systems rely on traditional analytic techniques such as high-performance liquid chromatography, which require pre-calibration for each compound and can be resource consuming. In addition, automation is not typically end-to-end, requiring user intervention to move vials, establish analytical methods for each compound and interpret the raw data. We developed a closed-loop, flexible robotic system with integrated solid and liquid dosing capabilities that relies on computer vision and iterative feedback to successfully measure caffeine solubility in multiple solvents. After initial researcher input (<br />Graphical abstract<br />Highlights • We demonstrate a modular, closed-loop robotic platform for solubility screening • Automated solvent titration is informed by computer vision and turbidity monitoring • No human intervention or HPLC analysis is required during the experimental loop • Solubility values obtained by the system match those obtained via traditional methods<br />Organic chemistry; organic synthesis; green chemistry; engineering; automation

Details

Language :
English
ISSN :
25890042
Volume :
24
Issue :
3
Database :
OpenAIRE
Journal :
iScience
Accession number :
edsair.doi.dedup.....4607408bd67babc27d75c31f8424d1c2