Evidence map›Paper›PMID 39066069›Full record

ArticleSensors (Basel, Switzerland)2024

Adaptation of Conductometric Monoenzyme Biosensor for Rapid Quantitative Analysis of L-arginine in Dietary Supplements.

Olga Y Saiapina, Kseniia Berketa, Andrii S Sverstiuk, Lyubov Fayura, Andriy A Sibirny, Sergei Dzyadevych, Oleksandr O Soldatkin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

7 authors.

Olga Y SaiapinaInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150 Zabolotnyi Str., 03680 Kyiv, Ukraine.
Kseniia BerketaInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150 Zabolotnyi Str., 03680 Kyiv, Ukraine.
Andrii S SverstiukDepartment of Medical Informatics, I. Horbachevsky Ternopil National Medical University, Maidan Voli Str., 1, 46002 Ternopil, Ukraine.ORCID 0000-0001-8644-0776
Lyubov FayuraInstitute of Cell Biology, National Academy of Science of Ukraine, 14/16 Drahomanov Str., 79005 Lviv, Ukraine.
Andriy A SibirnyInstitute of Cell Biology, National Academy of Science of Ukraine, 14/16 Drahomanov Str., 79005 Lviv, Ukraine.
Sergei DzyadevychInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150 Zabolotnyi Str., 03680 Kyiv, Ukraine.ORCID 0000-0003-2915-716X
Oleksandr O SoldatkinInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150 Zabolotnyi Str., 03680 Kyiv, Ukraine.

Funding

National Academy of Sciences of Ukraine 25/02-2021(2)Simons Foundation #1030279
6 · The paper itself

Abstract

The present study reports on the development, adaptation, and optimization of a novel monoenzyme conductometric biosensor based on a recombinant arginine deiminase (ADI) for the determination of arginine in dietary supplements with a high accuracy of results. Aiming for the highly sensitive determination of arginine in real samples, we studied the effect of parameters of the working buffer solution (its pH, buffer capacity, ionic strength, temperature, and protein concentration) on the sensitivity of the biosensor to arginine. Thus, it was determined that the optimal buffer is a 5 mM phosphate buffer solution with pH 6.2, and the optimal temperature is 39.5 °C. The linear functioning range is 2.5-750 µM of L-arginine with a minimal limit of detection of 2 µM. The concentration of arginine in food additive samples was determined using the developed ADI-based biosensor. Based on the obtained results, the most effective method of biosensor analysis using the method of standard additions was chosen. It was also checked how the reproducibility of the biosensor changes during the analysis of pharmaceutical samples. The results of the determination of arginine in real samples using a conductometric biosensor based on ADI clearly correlated with the data obtained using the method of ion-exchange chromatography and enzymatic spectrophotometric analysis. We concluded that the developed biosensor would be effective for the accurate and selective determination of arginine in dietary supplements intended for the prevention and/or elimination of arginine deficiency.

Indexed as

ArginineBiosensing TechniquesDietary SupplementsHydrolasesHydrogen-Ion ConcentrationLimit of DetectionOsmolar ConcentrationReproducibility of ResultsTemperatureArgininearginine deiminaseHydrolasesargininearginine deiminaseconductometric transducermonoenzyme biosensorreal sample analysis

Identifiers

PMID39066069
PMCPMC11281210

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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.