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Analytical and Bioanalytical Chemistry|September 27, 2024
Critical evaluation of the NIST retention index database reliability with specific examplesDmitriy D Matyushin, Anastasia E Karnaeva, Anastasia Yu SholokhovaJournal of Chromatography. A|July 12, 2024
Quantitative structure-retention relationships for pyridinium-based ionic liquids used as gas chromatographic stationary phases: convenient software and assessment of reliability of the resultsAnastasia Yu Sholokhova, Dmitriy D Matyushin, Mikhail V ShashkovChemosphere|July 21, 2022
Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine transformation products with chromatography-mass spectrometryAnastasia Yu Sholokhova, Oksana I Grinevich, Dmitriy D Matyushin, et al.Biomolecules|December 24, 2021
A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility SpectrometryYulia V Samukhina, Dmitriy D Matyushin, Oksana I Grinevich, et al.Toxics|November 27, 2025
A GC-MS Database of Nitrogen-Rich Volatile CompoundsAnastasia Yu Sholokhova, Svetlana A Borovikova, Dmitry S Kosyakov, et al.Molecules (Basel, Switzerland)|April 28, 2023
Intelligent Workflow and Software for Non-Target Analysis of Complex Samples Using a Mixture of Toxic Transformation Products of Unsymmetrical Dimethylhydrazine as an ExampleAnastasia Yu Sholokhova, Dmitriy D Matyushin, Oksana I Grinevich, et al.Journal of Chromatography. A|January 9, 2022
Deep learning for retention time prediction in reversed-phase liquid chromatographyElizaveta S Fedorova, Dmitriy D Matyushin, Ivan V Plyushchenko, et al.Chemosphere|November 11, 2018
Isomeric derivatives of triazoles as new toxic decomposition products of 1,1-dimethylhydrazineAleksey L Milyushkin, Kirill P Birin, Dmitriy D Matyushin, et al.Pageof 2