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

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)