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

Research output: Contribution to journalJournal articlepeer-review

Standard

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 journalJournal articlepeer-review

Harvard

Pontius, K, Junicke, H, Gernaey, KV & Bevilacqua, M 2020, 'Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions', Applied Microbiology and Biotechnology, vol. 104, no. 12, pp. 5315-5335. https://doi.org/10.1007/s00253-020-10604-0

APA

Pontius, K., Junicke, H., Gernaey, K. V., & Bevilacqua, M. (2020). Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions. Applied Microbiology and Biotechnology, 104(12), 5315-5335. https://doi.org/10.1007/s00253-020-10604-0

Vancouver

Pontius K, Junicke H, Gernaey KV, Bevilacqua M. Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions. Applied Microbiology and Biotechnology. 2020;104(12):5315-5335. https://doi.org/10.1007/s00253-020-10604-0

Author

Pontius, Katrin ; Junicke, Helena ; Gernaey, Krist V. ; Bevilacqua, Marta. / Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions. In: Applied Microbiology and Biotechnology. 2020 ; Vol. 104, No. 12. pp. 5315-5335.

Bibtex

@article{fcb1ee5ed1f148c2af228927ab7008c7,
title = "Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions",
keywords = "Mid-infrared spectroscopy, PLS modeling, Online monitoring, Indirect predictions, Yeast fermentation",
author = "Katrin Pontius and Helena Junicke and Gernaey, {Krist V.} and Marta Bevilacqua",
year = "2020",
doi = "10.1007/s00253-020-10604-0",
language = "English",
volume = "104",
pages = "5315--5335",
journal = "Applied Microbiology and Biotechnology",
issn = "0175-7598",
publisher = "Springer",
number = "12",

}

RIS

TY - JOUR

T1 - Monitoring yeast fermentations by nonlinear infrared technology and chemometrics - understanding process correlations and indirect predictions

AU - Pontius, Katrin

AU - Junicke, Helena

AU - Gernaey, Krist V.

AU - Bevilacqua, Marta

PY - 2020

Y1 - 2020

KW - Mid-infrared spectroscopy

KW - PLS modeling

KW - Online monitoring

KW - Indirect predictions

KW - Yeast fermentation

U2 - 10.1007/s00253-020-10604-0

DO - 10.1007/s00253-020-10604-0

M3 - Journal article

C2 - 32328682

VL - 104

SP - 5315

EP - 5335

JO - Applied Microbiology and Biotechnology

JF - Applied Microbiology and Biotechnology

SN - 0175-7598

IS - 12

ER -

ID: 240783197