Alexandr Kolesnov

Alexandr Kolesnov

Research Laboratory (PNIL), Peoples' Friendship University of Russia, Moscow, Moskva, Russia
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Acta Horticulturae
Verified
Journal Article
Closed access
LDL.F. D'Antuono
L.F. D'Antuono
AKAlexandr Kolesnov
Alexandr Kolesnov
KFK. Fedosova
K. Fedosova
MJM. Jorjadze
M. Jorjadze
NBNadiya Boyko
Nadiya Boyko
CBC. Bignami
C. Bignami

23 June 2023 in Food Processing: Techniques and Technology
Verified
Journal Article
Open access
NGNona Gnilomedova
Nona Gnilomedova
NANadezhda Anikina
Nadezhda Anikina
AKAlexandr Kolesnov
Alexandr Kolesnov
Wines with a clear geographical origin are more attractive for customers. The geographical origin of wine is stated on its label, but no official standards guarantee its reliability. The present research objective was to analyze the existing methodological approaches to wine authentication. The study featured domestic and foreign publications indexed in Dimensions and Elibrary in 2017–2022 with such keywords as wine authentication, geographical origin of wine, and chemometrics. The research revealed no single methodological solution to wine authentication because food science knows a wide range of parameters, methods, analytical equipment, and data processing models. Chemometric methods are reliable because they are able to process large arrays of analytical research results structured in a data bank using the so-called fingerprint principle. They involve 2–65 markers that are individual for each geographical region, country, zone, or terroir. Another promising method is the quantitative and qualitative nuclear magnetic resonance spectroscopy (qNMR) of protons 1H and deuterium 2H(D) nuclei, as well as other elements (13C, 17O, 31P, 14N). The review resulted in an integrated approach based on a combination of isotopic testing with cation-anionic profiling. The analytical support involved the methods of atomic absorption and atomic emission spectroscopy, spectrometry with inductively coupled plasma, isotope ratio mass-spectrometry, and quantitative and qualitative nuclear magnetic resonance spectroscopy. This combined approach could provide background for an all-Russian state standard with a single algorithm for wine authentication tests. The new approach will be used to develop enochemical profiles of wines from a particular region, as well as to choose the most effective chemometric models for geographical authentication.

4 May 2024 in Scientia Pharmaceutica
Verified
Journal Article
Open access
PDF file
VVVasilii Vasil’ev
Vasilii Vasil’ev
ASAnzhelika Sheremeta
Anzhelika Sheremeta
VIVasilii Ivlev
Vasilii Ivlev
SGSergey Goriainov
Sergey Goriainov
FHFadi Hajjar
Fadi Hajjar
GKGennady Kalabin
Gennady Kalabin
The roots and rhizomes of Rubia tinctorum L. have been widely used both for industrial and medicinal purposes for centuries. The primary biologically active substances from Rubia tinctorum L. roots and rhizomes are anthraquinone derivatives such as ruberythric acid and lucidin-3-primeveroside. Their identification and quantification are carried out by various analytical methods, requiring a complicated sample preparation as well as special reagents and reference samples. However, NMR spectroscopy has no limitations of this kind. In this work, we have developed and validated a new express and standard-free method for the qualitative and quantitative analysis of ruberythric acid and lucidin-3-primeveroside by 1H NMR spectroscopy in the extracts from the roots and rhizomes of Rubia tinctorum L. In this work, we have optimized the conditions of the sample preparation and registration of 1H NMR spectra, determined the optimal solvent and reference compound and confirmed the obtained results by HPLC-UV-MS.


1 January 2014 in Acta Horticulturae
Verified
Journal Article
Closed access
AKAlexandr Kolesnov
Alexandr Kolesnov
RFR. Filippova
R. Filippova
IFI. Filatova
I. Filatova
DZD. Zadorozhnyaya
D. Zadorozhnyaya
OMO. Maloshitskaya
O. Maloshitskaya