Towards on-line cheese monitoring: Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy

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Standard

Towards on-line cheese monitoring : Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy. / Patel, Harshkumar; Aru, Violetta; Sørensen, Klavs Martin; Engelsen, Søren Balling.

I: Food Chemistry, Bind 454, 139786, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Patel, H, Aru, V, Sørensen, KM & Engelsen, SB 2024, 'Towards on-line cheese monitoring: Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy', Food Chemistry, bind 454, 139786. https://doi.org/10.1016/j.foodchem.2024.139786

APA

Patel, H., Aru, V., Sørensen, K. M., & Engelsen, S. B. (2024). Towards on-line cheese monitoring: Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy. Food Chemistry, 454, [139786]. https://doi.org/10.1016/j.foodchem.2024.139786

Vancouver

Patel H, Aru V, Sørensen KM, Engelsen SB. Towards on-line cheese monitoring: Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy. Food Chemistry. 2024;454. 139786. https://doi.org/10.1016/j.foodchem.2024.139786

Author

Patel, Harshkumar ; Aru, Violetta ; Sørensen, Klavs Martin ; Engelsen, Søren Balling. / Towards on-line cheese monitoring : Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy. I: Food Chemistry. 2024 ; Bind 454.

Bibtex

@article{932358da1f534096af2a36bff13a72ea,
title = "Towards on-line cheese monitoring: Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy",
abstract = "This study aims to investigate the potential of using advanced spectroscopies for cheese quality monitoring. For this purpose, six semi-hard cheeses manufactured using lactic acid bacteria (LAB) and/or propionic acid bacteria (PAB) were explored using near-infrared spectroscopy (NIRS) and Proton Nuclear Magnetic Resonance (1H NMR) spectroscopy. The spectral data were analyzed using principal component analysis for extraction of possible discriminative patterns in quality parameters. The results show that the green analytical, but primarily bulk-sensitive, NIRS method was able to discriminate the cheese varieties primarily due to differences in the first overtone C–H stretching region between 1650 and 1720 nm, in particular by the lactate methylene absorption at 1674 nm. A total of 25 metabolites were identified in the 1H NMR spectra of the cheese extracts, several of which were associated with the LAB and PAB metabolic pathways. PAB-associated metabolites include propionate, acetate, and glutamate, while LAB-associated metabolites include lactate and acetoin among others.",
keywords = "Lactic acid bacteria (LAB), Metabolomics, Near-infrared spectroscopy (NIRS), Propionic acid bacteria (PAB), Proton nuclear magnetic resonance (H NMR), Semi-hard cheeses",
author = "Harshkumar Patel and Violetta Aru and S{\o}rensen, {Klavs Martin} and Engelsen, {S{\o}ren Balling}",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
doi = "10.1016/j.foodchem.2024.139786",
language = "English",
volume = "454",
journal = "Food Chemistry",
issn = "0308-8146",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Towards on-line cheese monitoring

T2 - Exploration of semi-hard cheeses using NIR and 1H NMR spectroscopy

AU - Patel, Harshkumar

AU - Aru, Violetta

AU - Sørensen, Klavs Martin

AU - Engelsen, Søren Balling

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024

Y1 - 2024

N2 - This study aims to investigate the potential of using advanced spectroscopies for cheese quality monitoring. For this purpose, six semi-hard cheeses manufactured using lactic acid bacteria (LAB) and/or propionic acid bacteria (PAB) were explored using near-infrared spectroscopy (NIRS) and Proton Nuclear Magnetic Resonance (1H NMR) spectroscopy. The spectral data were analyzed using principal component analysis for extraction of possible discriminative patterns in quality parameters. The results show that the green analytical, but primarily bulk-sensitive, NIRS method was able to discriminate the cheese varieties primarily due to differences in the first overtone C–H stretching region between 1650 and 1720 nm, in particular by the lactate methylene absorption at 1674 nm. A total of 25 metabolites were identified in the 1H NMR spectra of the cheese extracts, several of which were associated with the LAB and PAB metabolic pathways. PAB-associated metabolites include propionate, acetate, and glutamate, while LAB-associated metabolites include lactate and acetoin among others.

AB - This study aims to investigate the potential of using advanced spectroscopies for cheese quality monitoring. For this purpose, six semi-hard cheeses manufactured using lactic acid bacteria (LAB) and/or propionic acid bacteria (PAB) were explored using near-infrared spectroscopy (NIRS) and Proton Nuclear Magnetic Resonance (1H NMR) spectroscopy. The spectral data were analyzed using principal component analysis for extraction of possible discriminative patterns in quality parameters. The results show that the green analytical, but primarily bulk-sensitive, NIRS method was able to discriminate the cheese varieties primarily due to differences in the first overtone C–H stretching region between 1650 and 1720 nm, in particular by the lactate methylene absorption at 1674 nm. A total of 25 metabolites were identified in the 1H NMR spectra of the cheese extracts, several of which were associated with the LAB and PAB metabolic pathways. PAB-associated metabolites include propionate, acetate, and glutamate, while LAB-associated metabolites include lactate and acetoin among others.

KW - Lactic acid bacteria (LAB)

KW - Metabolomics

KW - Near-infrared spectroscopy (NIRS)

KW - Propionic acid bacteria (PAB)

KW - Proton nuclear magnetic resonance (H NMR)

KW - Semi-hard cheeses

U2 - 10.1016/j.foodchem.2024.139786

DO - 10.1016/j.foodchem.2024.139786

M3 - Journal article

C2 - 38820640

AN - SCOPUS:85194353971

VL - 454

JO - Food Chemistry

JF - Food Chemistry

SN - 0308-8146

M1 - 139786

ER -

ID: 394440988