Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative

Fermentation Escherichia coli / metabolism Proton Magnetic Resonance Spectroscopy / methods
Absolute quantitative (1)H NMR E. coli FAT Fermentation PAT PULCON Robot-assisted sample handling

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
04 Jul 2024
Historique:
received: 04 03 2024
revised: 09 05 2024
accepted: 12 05 2024
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 30 5 2024
Statut: ppublish

Résumé

To perform fast, reproducible, and absolute quantitative measurements in an automated manner has become of paramount importance when monitoring industrial processes, including fermentations. Due to its numerous advantages - including its inherent quantitative nature - Proton Nuclear Magnetic Resonance ( We present a high throughput method based on Standard Operating Procedures (SOPs) and The proposed method is generic and can be straight forward implemented to other types of fermentations, such as lactic acid, ethanol and acetic acid fermentations. It provides a high throughput automated solution for monitoring fermentation processes and for quality control through absolute quantification of key metabolites in fermentation broth. It can be easily implemented in an at-line industrial setting, facilitating the optimization of the manufacturing process towards higher yields and more efficient and sustainable use of resources.

Sections du résumé

BACKGROUND BACKGROUND
To perform fast, reproducible, and absolute quantitative measurements in an automated manner has become of paramount importance when monitoring industrial processes, including fermentations. Due to its numerous advantages - including its inherent quantitative nature - Proton Nuclear Magnetic Resonance (
RESULTS RESULTS
We present a high throughput method based on Standard Operating Procedures (SOPs) and
SIGNIFICANCE CONCLUSIONS
The proposed method is generic and can be straight forward implemented to other types of fermentations, such as lactic acid, ethanol and acetic acid fermentations. It provides a high throughput automated solution for monitoring fermentation processes and for quality control through absolute quantification of key metabolites in fermentation broth. It can be easily implemented in an at-line industrial setting, facilitating the optimization of the manufacturing process towards higher yields and more efficient and sustainable use of resources.

Identifiants

DOI: 10.1016/j.aca.2024.342722 PMID: 38816156
pubmed: 38816156
pii: S0003-2670(24)00523-3
doi: 10.1016/j.aca.2024.342722
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

342722

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jakob Forsberg (J)

Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark; Novo Nordisk A/S, Hagedornsvej 1, 2820, Gentofte, Denmark. Electronic address: jfl@food.ku.dk.

Christian Tihic Rasmussen (CT)

Novo Nordisk A/S, Hagedornsvej 1, 2820, Gentofte, Denmark.

Frans W J van den Berg (FWJ)

Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.

Søren Balling Engelsen (SB)

Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.

Violetta Aru (V)

Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark. Electronic address: violetta@food.ku.dk.

Articles similaires

Bioinspired gelated cell sheet-supported lactobacillus biofilm for aerobic vaginitis diagnosis and treatment.

Yueyue Gui, Qingfei Sun, Kexin Li et al.
1.00
Female Biofilms Animals Lactobacillus Mice

Prediction of strain level phage-host interactions across the Escherichia genus using only genomic information.

Baptiste Gaborieau, Hugo Vaysset, Florian Tesson et al.
1.00
Host Specificity Bacteriophages Genomics Algorithms Escherichia coli

Equine bone marrow-derived mesenchymal stromal cells reduce established S. aureus and E. coli biofilm matrix in vitro.

Sarah M Khatibzadeh, Linda A Dahlgren, Clayton C Caswell et al.
1.00
Biofilms Horses Animals Escherichia coli Mesenchymal Stem Cells

Aminoacid functionalised magnetite nanoparticles Fe

Spoială Angela, Motelica Ludmila, Ilie Cornelia-Ioana et al.
1.00
Magnetite Nanoparticles Tryptophan Biocompatible Materials Microbial Sensitivity Tests Humans

Classifications MeSH

questionsmedicales.fr › Métabolisme › Métabolisme glucidique › Fermentation › Fermentation Analytical Technology (FAT):...
questionsmedicales.fr › Bactéries › Proteobacteria › Gammaproteobacteria › Enterobacteriaceae › Escherichia › Escherichia coli › Fermentation Analytical Technology (FAT):...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie par résonance magnétique › Spectroscopie par résonance magnétique du proton › Fermentation Analytical Technology (FAT):...