Soft sensor based on Raman spectroscopy for the in-line monitoring of metabolites and polymer quality in the biomanufacturing of polyhydroxyalkanoates.

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    • Source:
      Publisher: Elsevier Science Publishers Country of Publication: Netherlands NLM ID: 8411927 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4863 (Electronic) Linking ISSN: 01681656 NLM ISO Abbreviation: J Biotechnol Subsets: MEDLINE
    • Publication Information:
      Original Publication: Amsterdam : Elsevier Science Publishers, c1984-
    • Subject Terms:
    • Abstract:
      Polyhydroxyalkanoates (PHA) are among the most promising bio-based alternatives to conventional petroleum-based plastics. These biodegradable polyesters can in fact be produced by fermentation from bacteria like Cupriavidus necator, thus reducing the environmental footprint of the manufacturing process. However, ensuring consistent product quality attributes is a major challenge of biomanufacturing. To address this issue, the implementation of real-time monitoring tools is essential to increase process understanding, enable a prompt response to possible process deviations and realize on-line process optimization. In this work, a soft sensor based on in situ Raman spectroscopy was developed and applied to the in-line monitoring of PHA biomanufacturing. This strategy allows the collection of quantitative information directly from the culture broth, without the need for sampling, and at high frequency. In fact, through an optimized multivariate data analysis pipeline, this soft sensor allows monitoring cell dry weight, as well as carbon and nitrogen source concentrations with root mean squared errors (RMSE) equal to 3.71, 7 and 0.03 g/L, respectively. In addition, this tool allows the in-line monitoring of intracellular PHA accumulation, with an RMSE of 14 g PHA /g Cells . For the first time, also the number and weight average molecular weights of the polymer produced could be monitored, with RMSE of 8.7E4 and 11.6E4 g/mol, respectively. Overall, this work demonstrates the potential of Raman spectroscopy in the in-line monitoring of biotechnology processes, leading to the simultaneous measurement of several process variables in real time without the need of sampling and labor-intensive sample preparations.
      Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Joao Medeiros Garcia Alcantara reports financial support was provided by Horizon Europe.
      (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: Cupriavidus necator; In-line monitoring; Multivariate data analysis; Perfusion; Polyhydroxyalkanoates; Raman spectroscopy
    • Accession Number:
      0 (Polyhydroxyalkanoates)
      0 (Polyesters)
    • Publication Date:
      Date Created: 20231025 Date Completed: 20231113 Latest Revision: 20231113
    • Publication Date:
      20231113
    • Accession Number:
      10.1016/j.jbiotec.2023.10.005
    • Accession Number:
      37879569