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Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study
Mid-infrared spectroscopy has been developed as a reliable and rapid tool for routine analysis of fat, protein, lactose and other components in liquid milk. However, variations within and between FTIR instruments, even within the same milk testing laboratory, present a challenge to the accuracy of m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529191/ https://www.ncbi.nlm.nih.gov/pubmed/34692639 http://dx.doi.org/10.3389/fchem.2021.733331 |
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author | Nieuwoudt, Michel K. Giglio, Cannon Marini, Federico Scott, Gavin Holroyd, Stephen E. |
author_facet | Nieuwoudt, Michel K. Giglio, Cannon Marini, Federico Scott, Gavin Holroyd, Stephen E. |
author_sort | Nieuwoudt, Michel K. |
collection | PubMed |
description | Mid-infrared spectroscopy has been developed as a reliable and rapid tool for routine analysis of fat, protein, lactose and other components in liquid milk. However, variations within and between FTIR instruments, even within the same milk testing laboratory, present a challenge to the accuracy of measurement of particularly minor components in the milk, such as individual fatty acids or proteins. In this study we have used Analysis of variance–Simultaneous Component Analysis (ASCA), to monitor the spectral variation between and within each of four different FOSS FTIR spectrometers over each week in an independent milk testing laboratory over 4 years, between August 2017 and March 2021 (223 weeks). On everyday of each week, spectra of the same pilot milk sample were recorded approximately every hour on each of the four instruments. Overall, variations between instruments had the largest effect on spectral variation over each week, making a significant contribution every week. Within each instrument, day-to-day variations over the week were also significant for all but two of the weeks measured, however it contributed less to the variance overall. At certain times other factors not explained by weekday variation or inter-instrument variation dominated the variance in the spectra. Examination of the scores and loadings of the weekly ASCA analysis allowed identification of changes in the spectral regions affected by drifts in each instrument over time. This was found to particularly affect some of the fatty acid predictions. |
format | Online Article Text |
id | pubmed-8529191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85291912021-10-22 Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study Nieuwoudt, Michel K. Giglio, Cannon Marini, Federico Scott, Gavin Holroyd, Stephen E. Front Chem Chemistry Mid-infrared spectroscopy has been developed as a reliable and rapid tool for routine analysis of fat, protein, lactose and other components in liquid milk. However, variations within and between FTIR instruments, even within the same milk testing laboratory, present a challenge to the accuracy of measurement of particularly minor components in the milk, such as individual fatty acids or proteins. In this study we have used Analysis of variance–Simultaneous Component Analysis (ASCA), to monitor the spectral variation between and within each of four different FOSS FTIR spectrometers over each week in an independent milk testing laboratory over 4 years, between August 2017 and March 2021 (223 weeks). On everyday of each week, spectra of the same pilot milk sample were recorded approximately every hour on each of the four instruments. Overall, variations between instruments had the largest effect on spectral variation over each week, making a significant contribution every week. Within each instrument, day-to-day variations over the week were also significant for all but two of the weeks measured, however it contributed less to the variance overall. At certain times other factors not explained by weekday variation or inter-instrument variation dominated the variance in the spectra. Examination of the scores and loadings of the weekly ASCA analysis allowed identification of changes in the spectral regions affected by drifts in each instrument over time. This was found to particularly affect some of the fatty acid predictions. Frontiers Media S.A. 2021-10-07 /pmc/articles/PMC8529191/ /pubmed/34692639 http://dx.doi.org/10.3389/fchem.2021.733331 Text en Copyright © 2021 Nieuwoudt, Giglio, Marini, Scott and Holroyd. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Nieuwoudt, Michel K. Giglio, Cannon Marini, Federico Scott, Gavin Holroyd, Stephen E. Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title | Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title_full | Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title_fullStr | Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title_full_unstemmed | Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title_short | Routine Monitoring of Instrument Stability in a Milk Testing Laboratory With ASCA: A Pilot Study |
title_sort | routine monitoring of instrument stability in a milk testing laboratory with asca: a pilot study |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529191/ https://www.ncbi.nlm.nih.gov/pubmed/34692639 http://dx.doi.org/10.3389/fchem.2021.733331 |
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