RGB LED sensor for fat quantification in milk

Marina Salukova; Anastasiia Surkova; Yana Shmakova; Natalya Samokhina; Julia Kostyuchenko; Alina Parshina; Ildar Ibatullin; Andrey Bogomolov

doi:10.3390/CSAC2023-14927

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RGB LED sensor for fat quantification in milk

Marina Salukova

^{*

1},

Anastasiia Surkova

²,

Yana Shmakova

¹,

Natalya Samokhina

¹,

Julia Kostyuchenko

²,

Alina Parshina

³,

Ildar Ibatullin

³,

Andrey Bogomolov

¹ High Biotechnology School, Samara State Technical University, Samara, Russia
² Department of Analytical and Physical Chemistry, Samara State Technical University, Samara, Russia
³ Department of Radio Engineering Devices, Samara State Technical University, Samara, Russia

Academic Editor: Nicole Jaffrezic-Renault

Published: 07 October 2023 by MDPI in The 2nd International Electronic Conference on Chemical Sensors and Analytical Chemistry session Optical Chemical Sensors

https://doi.org/10.3390/CSAC2023-14927

Abstract:

In this study, a portable desktop analyzer for determination of fat content in milk is introduced. A prototype of the sensor consists of three light emitting diodes (red, green, and blue) as a light source. The transmitted light is detected by a photoresistor and continuous voltage measurements provided by the microcontroller, is recorded by a computer. The resulting univariate and multivariate models show that the developed analytical device is capable to determinate fat content in raw and homogenized milk with sufficient accuracy.

Keywords: visible spectroscopy, optical multisensor systems; RGB LED sensor, milk analysis, fat content, multivariate data analysis

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