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

Research output: Contribution to conferencePoster

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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
Original languageEnglish
Pages67-67
Number of pages1
Publication statusPublished - 16 May 2022
EventCMAC Annual Open Day 2022 - Glasgow, United Kingdom
Duration: 16 May 202218 May 2022

Conference

ConferenceCMAC Annual Open Day 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period16/05/2218/05/22

Keywords

  • small batch cooling
  • DataFactory
  • crystallisation

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