Evidence map›Paper›PMID 42122616›Full record

ArticleSensors (Basel, Switzerland)2026

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.

Maxim E Astashev, Dmitry N Ignatenko, Elena A Molkova, Ivan M Gogolev, Andrey V Onegov, Sergey Y Smolentsev, Artem R Khakimov, Semen S Ruzin, Dmitry A Budnikov, Dmitriy Yu Pavkin and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maxim E AstashevFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.
Dmitry N IgnatenkoFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.
Elena A MolkovaProkhorov General Physics Institute of the Russian Academy of Sciences, Vavilov Str. 38, 119991 Moscow, Russia.
Ivan M GogolevDepartment of Fundamental Sciences, Bauman Moscow State Technical University, 5, 2nd Baumanskaya St., 105005 Moscow, Russia.
Andrey V OnegovMari State University, pl. Lenin 1, 420000 Yoshkar-Ola, Mari El Republic, Russia.
Sergey Y SmolentsevMari State University, pl. Lenin 1, 420000 Yoshkar-Ola, Mari El Republic, Russia.
Artem R KhakimovFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.ORCID 0000-0002-4332-9274
Semen S RuzinFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.ORCID 0000-0001-6870-5486
Dmitry A BudnikovFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.ORCID 0000-0002-8729-1300
Dmitriy Yu PavkinFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.ORCID 0000-0001-8769-8365
Sergey V GudkovFederal Scientific Agroengineering Center VIM, 109428 Moscow, Russia.ORCID 0000-0002-8814-6906

Funding

Russian Science Foundation 25-76-10079
6 · The paper itself

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.

Indexed as

Biosensing TechniquesFatsMilkMilk ProteinsAirAnimalsFluorescenceFatsMilk Proteinsfatflow milk sensorfluorometryproteinscatterometry

Identifiers

PMID42122616
PMCPMC13165767

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.