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LED-Based Desktop Analyzer for Fat Content Determination in Milk
In dairy, there is a growing request for laboratory analysis of the main nutrients in milk. High throughput of analysis, low cost, and portability are becoming critical factors to provide the necessary level of control in milk collection, processing, and sale. A portable desktop analyzer, including...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422571/ https://www.ncbi.nlm.nih.gov/pubmed/37571644 http://dx.doi.org/10.3390/s23156861 |
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author | Surkova, Anastasiia Shmakova, Yana Salukova, Marina Samokhina, Natalya Kostyuchenko, Julia Parshina, Alina Ibatullin, Ildar Artyushenko, Viacheslav Bogomolov, Andrey |
author_facet | Surkova, Anastasiia Shmakova, Yana Salukova, Marina Samokhina, Natalya Kostyuchenko, Julia Parshina, Alina Ibatullin, Ildar Artyushenko, Viacheslav Bogomolov, Andrey |
author_sort | Surkova, Anastasiia |
collection | PubMed |
description | In dairy, there is a growing request for laboratory analysis of the main nutrients in milk. High throughput of analysis, low cost, and portability are becoming critical factors to provide the necessary level of control in milk collection, processing, and sale. A portable desktop analyzer, including three light-emitting diodes (LEDs) in the visible light region, has been constructed and tested for the determination of fat content in homogenized and raw cow’s milk. The method is based on the concentration dependencies of light scattering by milk fat globules at three different wavelengths. Univariate and multivariate models were built and compared. The red channel has shown the best performance in prediction. However, the joint use of all three LED signals led to an improvement in the calibration model. The obtained preliminary results have shown that the developed LED-based technique can be sufficiently accurate for the analysis of milk fat content. The ways of its further development and improvement have been discussed. |
format | Online Article Text |
id | pubmed-10422571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104225712023-08-13 LED-Based Desktop Analyzer for Fat Content Determination in Milk Surkova, Anastasiia Shmakova, Yana Salukova, Marina Samokhina, Natalya Kostyuchenko, Julia Parshina, Alina Ibatullin, Ildar Artyushenko, Viacheslav Bogomolov, Andrey Sensors (Basel) Article In dairy, there is a growing request for laboratory analysis of the main nutrients in milk. High throughput of analysis, low cost, and portability are becoming critical factors to provide the necessary level of control in milk collection, processing, and sale. A portable desktop analyzer, including three light-emitting diodes (LEDs) in the visible light region, has been constructed and tested for the determination of fat content in homogenized and raw cow’s milk. The method is based on the concentration dependencies of light scattering by milk fat globules at three different wavelengths. Univariate and multivariate models were built and compared. The red channel has shown the best performance in prediction. However, the joint use of all three LED signals led to an improvement in the calibration model. The obtained preliminary results have shown that the developed LED-based technique can be sufficiently accurate for the analysis of milk fat content. The ways of its further development and improvement have been discussed. MDPI 2023-08-01 /pmc/articles/PMC10422571/ /pubmed/37571644 http://dx.doi.org/10.3390/s23156861 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Surkova, Anastasiia Shmakova, Yana Salukova, Marina Samokhina, Natalya Kostyuchenko, Julia Parshina, Alina Ibatullin, Ildar Artyushenko, Viacheslav Bogomolov, Andrey LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title | LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title_full | LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title_fullStr | LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title_full_unstemmed | LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title_short | LED-Based Desktop Analyzer for Fat Content Determination in Milk |
title_sort | led-based desktop analyzer for fat content determination in milk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422571/ https://www.ncbi.nlm.nih.gov/pubmed/37571644 http://dx.doi.org/10.3390/s23156861 |
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