Application of quantitative analysis of multi-component system approach for determination of ginsenosides in different mass-spectrometric conditions E Stekolshchikova, P Turova, O Shpigun, I Rodin, A Stavrianidi Journal of Chromatography A 1574, 82-90, 2018 | 19 | 2018 |
Quantitative analysis of a multicomponent system for liquid chromatography–mass spectrometry determination of diosgenin, dioscin and protodioscin in plant extracts of Tribulus … AN Stavrianidi, EA Stekolshchikova, PN Turova, IA Rodin, OA Shpigun Moscow University Chemistry Bulletin 72 (3), 135-143, 2017 | 12* | 2017 |
A new PARAFAC‐based algorithm for HPLC–MS data treatment: herbal extracts identification P Turova, I Rodin, O Shpigun, A Stavrianidi Phytochemical Analysis 31 (6), 948-956, 2020 | 8 | 2020 |
Study of polyphenol components in extracts of arctic brown algae of fucus vesiculosus type by liquid chromatography and mass-spectrometry DV Ovchinnikov, KG Bogolitsyn, AS Druzhinina, PA Kaplitsin, ... Journal of Analytical Chemistry 75 (5), 633-639, 2020 | 7 | 2020 |
Полифенолы арктических бурых водорослей: выделение, полимолекулярный состав КГ Боголицын, АС Дружинина, ДВ Овчинников, АЭ Паршина, ... Химия растительного сырья, 65-75, 2019 | 4 | 2019 |
Unified strategy for HPLC–MS evaluation of bioactive compounds for quality control of herbal products P Turova, E Stekolshchikova, T Baygildiev, O Shpigun, I Rodin, ... Biomedical Chromatography 32 (12), e4363, 2018 | 4 | 2018 |
Unsupervised methods in LC-MS data treatment: Application for potential chemotaxonomic markers search P Turova, I Styles, V Timashev, K Kravets, A Grechnikov, D Lyskov, ... Journal of Pharmaceutical and Biomedical Analysis 206, 114382, 2021 | 2 | 2021 |
Analysis of Primary Liquid Chromatography Mass Spectrometry Data by Neural Networks for Plant Samples Classification P Turova, A Stavrianidi, V Svekolkin, D Lyskov, I Podolskiy, I Rodin, ... Metabolites 12 (10), 993, 2022 | | 2022 |