Classification of recombinant Saccharomyces cerevisiae cells using PLS-DA modelling based on MIR spectroscopy

Pedro N. Sampaio, Cecília R.C. Calado

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Towards the optimization and control of bioprocesses, as the culture step of recombinant microorganisms, it is crucial to develop high-throughput monitoring techniques enabling the acquisition of a large data sets of information, as the ones based on mid infrared (MIR) spectroscopy. To maximize the knowledge associated to this this new large-scale data, it is also relevant to apply machine learning techniques, as Partial Least-Squares Discriminant Analysis (PLS-DA). In the present work, Principal Component Analysis followed by PLS-DA were applied to discriminate different growth phases of recombinant Saccharomyces cerevisiae along the production of an heterologous protein, conducted in bioreactor and monitored by high-throughput MIR spectroscopy. It was possible to derive PLS-DA models enabling to discriminate, from the MIR spectra, the yeast cells according to its metabolic status associated to the culture growth phase with an accuracy, sensitivity, and specificity between 83% and 100%. The optimised PLS-DA presented very low calibration errors, of 97% and 100% based on a cross-validation and an independent data-set, respectively. In conclusion, it was possible to build a PLS-DA model discriminating the cells metabolic status that will promote the knowledge of the bioprocess and future better control and optimization procedures.

Original languageEnglish
Title of host publication6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538685068
DOIs
Publication statusPublished - 15 Apr 2019
Event6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Lisbon, Portugal
Duration: 22 Feb 201923 Feb 2019

Publication series

Name6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

Conference

Conference6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019
Country/TerritoryPortugal
CityLisbon
Period22/02/1923/02/19

Bibliographical note

Publisher Copyright:
© ENBENG 2019. All Rights Reserved.

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