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May 7, 2026Sensors0 citationsOpen Access

A Four-Wavelength Flow-Through Fluorescence–Scatterometric Sensor That Allows for Real-Time Determination of Fat and Protein Content in Milk–Air Mixtures with High Accuracy

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MAMaxim E. AstashevDIDmitry N. IgnatenkoEMElena A. Molkova

Key Points

  • To design a sensor for accurate real-time determination of fat and protein content in milk–air mixtures.
  • Prototype of a flow-through fluorescence–scatterometric sensor developed.
  • Sensor incorporates measurements using light scattering and fluorescence.
  • Uses sources of optical radiation: blue, green, and red semiconductor lasers, along with a UV LED.
  • Achieves fat content measurement accuracy of 0.05%.
  • Successfully detects counterfeit milk with palm oil.
  • Operates reliably between 5–35 °C and at flow rates up to 100 mL/sec.

Abstract

(1) Background: Currently, there is a problem of prompt determination of fat and protein content in the milk–air mixture of milking machines. (2) Methods: A design of a sensor prototype is proposed, combining measurements of light scattering (scatterometry) and fluorescence (fluorometry) to determine the component composition of the milk–air mixture formed during milking. (3) Results: An optical and electronic circuit of a flow sensor has been developed, using four sources of optical radiation: blue, green and red semiconductor lasers (light scattering in milk) and a UV LED (milk fluorescence), as well as an axial photodiode array for recording the light scattering indicatrix and the fluorescence intensity of the milk–air mixture. The use of three laser sources in the scatterometric circuit allows for the determination of the fat content in milk with an error of 0.05%, which is better than all currently known analogs. The developed sensor enables the detection of counterfeit milk containing palm oil instead of milk fat. It operates reliably in a temperature range of 5–35 °C and at milk flow rates of up to 100 mL/sec. (4) Conclusions: The sensor is capable of transmitting real-time data on the fat and protein content of milk to an RS-232 serial port, enabling integration into milking robots and automated milking systems.

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Cite This Study

Astashev et al. (2026) studied this question.

synapsesocial.com/papers/69fbefa3164b5133a91a3885https://doi.org/10.3390/s26092894
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Spectral Fluorescence Foundations for a Promising UV LED-Based Milk Analyzer2026
  2. 2Multi-Reflectance-Spectroscopy, Part III: In-Line Monitoring of Milk Fat Globule Size via Sauter Diameter Using an Optical Sensor.2026
  3. 3Inline analysis of raw milk composition using near-infrared spectroscopy and a fibre optic transflectance probe2025
  4. 4Planar Microwave Sensor for the Characterization of Milk2026
  5. 5Hybrid machine learning driven optimization of multilayer SPR sensor for high sensitivity milk fat detection2026