LED-Based Desktop Analyzer for Fat Content Determination in Milk

被引:1
|
作者
Surkova, Anastasiia [1 ]
Shmakova, Yana [1 ]
Salukova, Marina [1 ]
Samokhina, Natalya [1 ]
Kostyuchenko, Julia [1 ]
Parshina, Alina [2 ]
Ibatullin, Ildar [2 ]
Artyushenko, Viacheslav [3 ]
Bogomolov, Andrey [1 ]
机构
[1] Samara State Tech Univ, Dept Analyt & Phys Chem, Molodogvardeyskaya St 244, Samara 443100, Russia
[2] Samara State Tech Univ, Dept Radio Engn Devices, Molodogvardeyskaya St 244, Samara 443100, Russia
[3] Art Photon GmbH, Rudower Chaussee 46, D-12489 Berlin, Germany
关键词
milk analysis; fat content; optical multisensor systems; RGB sensor; optical spectroscopy; light emitting diode; Arduino Nano; chemometrics; TOTAL PROTEIN-CONTENT; SPECTROSCOPIC ANALYSIS; BACK SCATTERING; RAW-MILK; LIGHT; SPECTROMETRY; MODELS; SENSOR; COWS;
D O I
10.3390/s23156861
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] LED-based NDIR natural gas analyzer
    Fanchenko, Sergey
    Baranov, Alexander
    Savkin, Alexey
    Sleptsov, Vladimir
    5TH INTERNATIONAL CONFERENCE ON MATERIALS AND APPLICATIONS FOR SENSORS AND TRANSDUCERS (IC-MAST2015), 2016, 108
  • [2] Determination of fat content in UHT milk by electroanalytical method
    Wu, Shilin
    Jin, Yamei
    Yang, Na
    Xu, Xueming
    Xie, Zhengjun
    FOOD CHEMISTRY, 2019, 270 : 538 - 545
  • [3] Quantitative determination of fat and total protein in milk based on visible light scatter
    Bogomolov, Andrey
    Dietrich, Stefan
    Boldrini, Barbara
    Kessler, Rudolf W.
    FOOD CHEMISTRY, 2012, 134 (01) : 412 - 418
  • [4] Densitometric determination of the fat content of milk and milk products
    Badertscher, Rene
    Berger, Thomas
    Kuhn, Rolf
    INTERNATIONAL DAIRY JOURNAL, 2007, 17 (01) : 20 - 23
  • [5] Determination of the Fat Content in Cow’s Milk Based on Dielectric Properties
    Xinhua Zhu
    Wenchuan Guo
    Zhibin Liang
    Food and Bioprocess Technology, 2015, 8 : 1485 - 1494
  • [6] Determination of the Fat Content in Cow's Milk Based on Dielectric Properties
    Zhu, Xinhua
    Guo, Wenchuan
    Liang, Zhibin
    FOOD AND BIOPROCESS TECHNOLOGY, 2015, 8 (07) : 1485 - 1494
  • [7] LED-based white light
    David, Aurelien
    Whitehead, Lorne A.
    COMPTES RENDUS PHYSIQUE, 2018, 19 (03) : 169 - 181
  • [8] Determination of fat content in goat milk using annular photoelectric sensor system
    Zhu, Xingyue
    Zhao, Zhimin
    Zhang, Wenjie
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (01) : 102 - 110
  • [9] Determination of fat and total protein content in milk using conventional digital imaging
    Kucheryavskiy, Sergey
    Melenteva, Anastasiia
    Bogomolov, Andrey
    TALANTA, 2014, 121 : 144 - 152
  • [10] Calibration Transfer for LED-Based Optical Multisensor Systems
    Surkova, Anastasiia
    Bogomolov, Andrey
    Legin, Andrey
    Kirsanov, Dmitry
    ACS SENSORS, 2020, 5 (08) : 2587 - 2595