Less Is More: Practical Insights Into Multivariate Regression Models for Raman Spectroscopy in Bioprocess Monitoring.

Borg A, Elhabiri M, Le Calvé S, Portaluri V

DOI: 10.1002/bit.70118
Published: 2026 Mar
Container: Biotechnology and bioengineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bit.70118,
  title = {Less Is More: Practical Insights Into Multivariate Regression Models for Raman Spectroscopy in Bioprocess Monitoring.},
  author = {Borg A and Elhabiri M and Le Calvé S and Portaluri V},
  year = {2026},
  journal = {Biotechnology and bioengineering},
  doi = {10.1002/bit.70118},
  url = {https://doi.org/10.1002/bit.70118}
}

RIS

TY  - JOUR
TI  - Less Is More: Practical Insights Into Multivariate Regression Models for Raman Spectroscopy in Bioprocess Monitoring.
AU  - Borg A
AU  - Elhabiri M
AU  - Le Calvé S
AU  - Portaluri V
PY  - 2026
JO  - Biotechnology and bioengineering
DO  - 10.1002/bit.70118
UR  - https://doi.org/10.1002/bit.70118
ER  -

APA

A, B., M, E., S, L. C., & V, P. (2026). Less Is More: Practical Insights Into Multivariate Regression Models for Raman Spectroscopy in Bioprocess Monitoring.. Biotechnology and bioengineering. https://doi.org/10.1002/bit.70118

Source records

pubmed · retrieved 2026-09-26T19:49:58.307Z