Evidence map›Paper›PMID 37571644›Full record

ArticleSensors (Basel, Switzerland)2023

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

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

9 authors.

Anastasiia SurkovaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.ORCID 0000-0001-6220-7822
Yana ShmakovaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Marina SalukovaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Natalya SamokhinaDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Julia KostyuchenkoDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Alina ParshinaDepartment of Radio Engineering Devices, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Ildar IbatullinDepartment of Radio Engineering Devices, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.
Viacheslav ArtyushenkoArt Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
Andrey BogomolovDepartment of Analytical and Physical Chemistry, Samara State Technical University, Molodogvardeyskaya Street 244, 443100 Samara, Russia.ORCID 0000-0002-4832-638X

Funding

the Ministry of Science and Higher Education of the Russian Federation FSSE-2023-0003
6 · The paper itself

Abstract

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.

Indexed as

LightMilkAnimalsCalibrationNutrientsNutrientsArduino Nanochemometricsfat contentlight emitting diodemilk analysisoptical multisensor systemsoptical spectroscopyRGB sensor

Identifiers

PMID37571644
PMCPMC10422571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.