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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/15/6861 |
| _version_ | 1797586009341296640 |
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| author | Anastasiia Surkova Yana Shmakova Marina Salukova Natalya Samokhina Julia Kostyuchenko Alina Parshina Ildar Ibatullin Viacheslav Artyushenko Andrey Bogomolov |
| author_facet | Anastasiia Surkova Yana Shmakova Marina Salukova Natalya Samokhina Julia Kostyuchenko Alina Parshina Ildar Ibatullin Viacheslav Artyushenko Andrey Bogomolov |
| author_sort | Anastasiia Surkova |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T00:16:14Z |
| format | Article |
| id | doaj.art-30811c13934642f1ac926b59f34014f2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:16:14Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-30811c13934642f1ac926b59f34014f22023-11-18T23:35:26ZengMDPI AGSensors1424-82202023-08-012315686110.3390/s23156861LED-Based Desktop Analyzer for Fat Content Determination in MilkAnastasiia Surkova0Yana Shmakova1Marina Salukova2Natalya Samokhina3Julia Kostyuchenko4Alina Parshina5Ildar Ibatullin6Viacheslav Artyushenko7Andrey Bogomolov8Department of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Radio Engineering Devices, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaDepartment of Radio Engineering Devices, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaArt Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, GermanyDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, RussiaIn 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.https://www.mdpi.com/1424-8220/23/15/6861milk analysisfat contentoptical multisensor systemsRGB sensoroptical spectroscopylight emitting diode |
| spellingShingle | Anastasiia Surkova Yana Shmakova Marina Salukova Natalya Samokhina Julia Kostyuchenko Alina Parshina Ildar Ibatullin Viacheslav Artyushenko Andrey Bogomolov LED-Based Desktop Analyzer for Fat Content Determination in Milk Sensors milk analysis fat content optical multisensor systems RGB sensor optical spectroscopy light emitting diode |
| 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 | milk analysis fat content optical multisensor systems RGB sensor optical spectroscopy light emitting diode |
| url | https://www.mdpi.com/1424-8220/23/15/6861 |
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