Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions

Katrin Pontius; Helena Junicke; Krist V. Gernaey; Marta Bevilacqua

doi:10.1007/s00253-020-10604-0

Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions

Katrin Pontius, Helena Junicke, Krist V. Gernaey, Marta Bevilacqua

Ingredient and Dairy Technology

Research output: Contribution to journal › Journal article › Research › peer-review

12 Citations (Scopus)

12 Downloads (Pure)

Original language	English
Journal	Applied Microbiology and Biotechnology
Volume	104
Issue number	12
Pages (from-to)	5315-5335
Number of pages	21
ISSN	0175-7598
DOIs	https://doi.org/10.1007/s00253-020-10604-0
Publication status	Published - 2020

Keywords

Mid-infrared spectroscopy
PLS modeling
Online monitoring
Indirect predictions
Yeast fermentation

Access to Document

10.1007/s00253-020-10604-0

FulltextAccepted author manuscript, 2.1 MBLicence: CC BY

Cite this

Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions. / Pontius, Katrin; Junicke, Helena; Gernaey, Krist V.; Bevilacqua, Marta.

In: Applied Microbiology and Biotechnology, Vol. 104, No. 12, 2020, p. 5315-5335.

Research output: Contribution to journal › Journal article › Research › peer-review

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AU - Pontius, Katrin

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KW - Mid-infrared spectroscopy

KW - PLS modeling

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JO - Applied Microbiology and Biotechnology

JF - Applied Microbiology and Biotechnology

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