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Related Experiment Video

Updated: Jul 19, 2025

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit

Published on: December 16, 2015

LED-Based Desktop Analyzer for Fat Content Determination in Milk.

Anastasiia Surkova¹, Yana Shmakova¹, Marina Salukova¹

¹Department of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.

Sensors (Basel, Switzerland)

|August 12, 2023

Summary

This summary is machine-generated.

A new portable analyzer uses light-emitting diodes (LEDs) to measure milk fat content. This cost-effective, portable technology offers accurate dairy analysis for milk quality control.

Keywords:

Arduino Nano RGB sensor chemometrics fat content light emitting diode milk analysis optical multisensor systems optical spectroscopy

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Last Updated: Jul 19, 2025

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Published on: June 4, 2014

Area of Science:

Dairy Science
Analytical Chemistry
Spectroscopy

Background:

Growing demand for rapid, cost-effective milk nutrient analysis in the dairy industry.
Need for portable, high-throughput analytical tools for milk quality control throughout the supply chain.

Purpose of the Study:

To develop and evaluate a portable, LED-based analyzer for determining fat content in raw and homogenized cow's milk.
To assess the accuracy and feasibility of light scattering measurements for milk fat analysis.

Main Methods:

Construction of a portable desktop analyzer utilizing three light-emitting diodes (LEDs) in the visible light spectrum.
Application of light scattering principles, analyzing concentration dependencies at three distinct wavelengths.
Development and comparison of univariate and multivariate calibration models for fat content prediction.

Main Results:

The red LED channel demonstrated the strongest predictive performance individually.
Integrating signals from all three LEDs significantly improved the calibration model's accuracy.
Preliminary results indicate sufficient accuracy for milk fat content analysis using the developed LED technique.

Conclusions:

The developed LED-based portable analyzer shows promise for accurate and efficient milk fat determination.
Further development can enhance the technique for broader dairy analysis applications.
This technology supports improved quality control in milk collection, processing, and sales.