Developing an autonomous DataFactory workflow for smallscale batch cooling crystallisation with the antiviral lamivudine

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Pickles, Thomas and Mustoe, Chantal and Brown, Cameron and Florence, Alastair (2022) Developing an autonomous DataFactory workflow for smallscale batch cooling crystallisation with the antiviral lamivudine. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

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Abstract

Lamivudine: Lamivudine is an antiviral medication used to treat and prevent human immunodeficiency virus (HIV)1. Past studies have well characterised the two polymorphs, form I as needles and form II as bipyramidal but the literature is sparse for solubility and kinetic parameter estimations2. DataFactory: The DataFactory project will be an autonomous data collection platform focusing on active pharmaceutical ingredient (API) solubility and kinetic parameters. Therefore, this work aims to design a consistent method that can be adapted by robotics to be carried out without supervision. Aims and Objectives: - Establish a workflow that guides decision making for the automated data collection of the DataFactory - Establish a crystallisation parameter database to be used towards a crystallisation classification system (CCS) - Integration of a solid/ solvent dosing station with the Crystalline (Technobis) platform

ORCID iDs

Pickles, Thomas, Mustoe, Chantal, Brown, Cameron ORCID logoORCID: https://orcid.org/0000-0001-7091-1721 and Florence, Alastair ORCID logoORCID: https://orcid.org/0000-0002-9706-8364;
CORE (COnnecting REpositories)