K
Konstantin Grigorenko
Researcher at Saint Petersburg State University of Information Technologies, Mechanics and Optics
Publications - 19
Citations - 32
Konstantin Grigorenko is an academic researcher from Saint Petersburg State University of Information Technologies, Mechanics and Optics. The author has contributed to research in topics: Raman spectroscopy & Gas analyzer. The author has an hindex of 2, co-authored 16 publications receiving 15 citations.
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Journal ArticleDOI
Raman Laser Spectrometer: Application to 12C/13C Isotope Identification in CH4 and CO2 Greenhouse Gases
Vladimir Vitkin,Anton Polishchuk,Ian Chubchenko,Evgeniy Popov,Konstantin Grigorenko,A. A. Kharitonov,Arsen Davtian,Anton V. Kovalev,V.V. Kurikova,Patrice Camy,Pavel Loiko,Magdalena Aguiló,Francesc Díaz,Xavier Mateos +13 more
TL;DR: In this article, a compact Raman laser gas spectrometer was developed for carbon dioxide and CH4 emission detection, and the expected limit of detection (LOD) was less than 100 ppm for CO2 and less than 25 ppm for CH4 at a gas pressure of 50 atm.
Journal ArticleDOI
Saturable absorption properties at 1.54 µm of Cr2+:ZnS prepared by thermal diffusion at hot isostatic pressing
Pavel Loiko,Vladimir Vitkin,Stanislav Balabanov,Olga Dymshits,Konstantin Grigorenko,Anton Polishchuk,Anna Volokitina,Xavier Mateos,Josep Maria Serres,E. M. Gavrishchuk +9 more
TL;DR: In this paper, polycrystalline zinc sulfide (ZnS) samples obtained by chemical vapour deposition were doped with Cr2+ ions using hot isostatic pressing (at 100 MPa/1250 °C).
Proceedings ArticleDOI
Raman-based high-resolution detection of 13 CO2 isotopes in human breath
TL;DR: In this article, an effective system for detecting carbon isotopes 12CO2 and 13CO2 in human breath with an extremely low concentration level of ~ 0.01% was presented.
Proceedings ArticleDOI
Raman detector of carbon isotopes
TL;DR: In this paper, a Raman scattering based detector of carbon isotopes in gaseous mixtures was introduced, where a solid state 532 nm 5 W CW laser was used for excitation of Raman signal.
Journal ArticleDOI
Detection of A and B Influenza Viruses by Surface-Enhanced Raman Scattering Spectroscopy and Machine Learning
A.T. Tabarov,Vladimir Vitkin,O.V. Andreeva,A.A. Shemanaeva,E.Y. Popov,A.A. Dobroslavin,Valeria Kurikova,O.B. Kuznetsova,Konstantin Grigorenko,Ivan Tzibizov,Anton Kovalev,Vitaliy Savchenko,A.S. Zheltuhina,Andrey Gorshkov,Daria Danilenko +14 more
TL;DR: In this article , the authors demonstrate the possibility of applying surface-enhanced Raman spectroscopy (SERS) combined with machine learning technology to detect and differentiate influenza type A and B viruses in a buffer environment.