Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy

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Standard

Fermentation Analytical Technology (FAT) : Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy. / Forsberg, Jakob; Rasmussen, Christian Tihic; van den Berg, Frans W.J.; Engelsen, Søren Balling; Aru, Violetta.

I: Analytica Chimica Acta, Bind 1311, 342722, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Forsberg, J, Rasmussen, CT, van den Berg, FWJ, Engelsen, SB & Aru, V 2024, 'Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy', Analytica Chimica Acta, bind 1311, 342722. https://doi.org/10.1016/j.aca.2024.342722

APA

Forsberg, J., Rasmussen, C. T., van den Berg, F. W. J., Engelsen, S. B., & Aru, V. (2024). Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy. Analytica Chimica Acta, 1311, [342722]. https://doi.org/10.1016/j.aca.2024.342722

Vancouver

Forsberg J, Rasmussen CT, van den Berg FWJ, Engelsen SB, Aru V. Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy. Analytica Chimica Acta. 2024;1311. 342722. https://doi.org/10.1016/j.aca.2024.342722

Author

Forsberg, Jakob ; Rasmussen, Christian Tihic ; van den Berg, Frans W.J. ; Engelsen, Søren Balling ; Aru, Violetta. / Fermentation Analytical Technology (FAT) : Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy. I: Analytica Chimica Acta. 2024 ; Bind 1311.

Bibtex

@article{da896515f99f42d3b3dd3a0ecf742374,
title = "Fermentation Analytical Technology (FAT): Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy",
abstract = "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 (1H NMR) spectroscopy provides an ideal tool for the time-resolved monitoring of fermentations. However, analytical conditions, including non-automated sample preparation and long relaxation times (T1) of some metabolites, can significantly lengthen the experimental time and make implementation in an industrial set up unfeasible. Results: We present a high throughput method based on Standard Operating Procedures (SOPs) and 1H NMR, which lays the foundation for what we call Fermentation Analytical Technology (FAT). Our method was developed for the accurate absolute quantification of metabolites produced during Escherichia coli industrial fermentations. The method includes: (1) a stopped flow system for non-invasive sample collection followed by sample quenching, (2) automatic robot-assisted sample preparation, (3) fast 1H NMR measurements, (4) metabolites quantification using multivariate curve resolution (MCR), and (5) metabolites absolute quantitation using a novel correction factor (k) to compensate for the short recycle delay (D1) employed in the 1H NMR measurements. The quantification performance was tested using two sample types: buffer solutions of chemical standards and real fermentation samples. Five metabolites – glucose, acetate, alanine, phenylalanine and betaine – were quantified. Absolute quantitation ranged between 0.64 and 3.40 mM in pure buffer, and 0.71–7.76 mM in real samples. Significance: 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.",
keywords = "Absolute quantitative H NMR, E. coli, FAT, Fermentation, PAT, PULCON, Robot-assisted sample handling",
author = "Jakob Forsberg and Rasmussen, {Christian Tihic} and {van den Berg}, {Frans W.J.} and Engelsen, {S{\o}ren Balling} and Violetta Aru",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
doi = "10.1016/j.aca.2024.342722",
language = "English",
volume = "1311",
journal = "Analytica Chimica Acta",
issn = "0003-2670",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Fermentation Analytical Technology (FAT)

T2 - Monitoring industrial E. coli fermentations using absolute quantitative 1H NMR spectroscopy

AU - Forsberg, Jakob

AU - Rasmussen, Christian Tihic

AU - van den Berg, Frans W.J.

AU - Engelsen, Søren Balling

AU - Aru, Violetta

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024

Y1 - 2024

N2 - 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 (1H NMR) spectroscopy provides an ideal tool for the time-resolved monitoring of fermentations. However, analytical conditions, including non-automated sample preparation and long relaxation times (T1) of some metabolites, can significantly lengthen the experimental time and make implementation in an industrial set up unfeasible. Results: We present a high throughput method based on Standard Operating Procedures (SOPs) and 1H NMR, which lays the foundation for what we call Fermentation Analytical Technology (FAT). Our method was developed for the accurate absolute quantification of metabolites produced during Escherichia coli industrial fermentations. The method includes: (1) a stopped flow system for non-invasive sample collection followed by sample quenching, (2) automatic robot-assisted sample preparation, (3) fast 1H NMR measurements, (4) metabolites quantification using multivariate curve resolution (MCR), and (5) metabolites absolute quantitation using a novel correction factor (k) to compensate for the short recycle delay (D1) employed in the 1H NMR measurements. The quantification performance was tested using two sample types: buffer solutions of chemical standards and real fermentation samples. Five metabolites – glucose, acetate, alanine, phenylalanine and betaine – were quantified. Absolute quantitation ranged between 0.64 and 3.40 mM in pure buffer, and 0.71–7.76 mM in real samples. Significance: 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.

AB - 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 (1H NMR) spectroscopy provides an ideal tool for the time-resolved monitoring of fermentations. However, analytical conditions, including non-automated sample preparation and long relaxation times (T1) of some metabolites, can significantly lengthen the experimental time and make implementation in an industrial set up unfeasible. Results: We present a high throughput method based on Standard Operating Procedures (SOPs) and 1H NMR, which lays the foundation for what we call Fermentation Analytical Technology (FAT). Our method was developed for the accurate absolute quantification of metabolites produced during Escherichia coli industrial fermentations. The method includes: (1) a stopped flow system for non-invasive sample collection followed by sample quenching, (2) automatic robot-assisted sample preparation, (3) fast 1H NMR measurements, (4) metabolites quantification using multivariate curve resolution (MCR), and (5) metabolites absolute quantitation using a novel correction factor (k) to compensate for the short recycle delay (D1) employed in the 1H NMR measurements. The quantification performance was tested using two sample types: buffer solutions of chemical standards and real fermentation samples. Five metabolites – glucose, acetate, alanine, phenylalanine and betaine – were quantified. Absolute quantitation ranged between 0.64 and 3.40 mM in pure buffer, and 0.71–7.76 mM in real samples. Significance: 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.

KW - Absolute quantitative H NMR

KW - E. coli

KW - FAT

KW - Fermentation

KW - PAT

KW - PULCON

KW - Robot-assisted sample handling

U2 - 10.1016/j.aca.2024.342722

DO - 10.1016/j.aca.2024.342722

M3 - Journal article

C2 - 38816156

AN - SCOPUS:85193709637

VL - 1311

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

M1 - 342722

ER -

ID: 393271844