nguphysСибирский физический журналSIBERIAN JOURNAL OF PHYSICS2541-9447Новосибирский государственный университет10.25205/2541-9447-2018-13-3-110-116nguphys-57Research ArticleКОМБИНАЦИОННОЕ РАССЕЯНИЕ - 90 ЛЕТ ИССЛЕДОВАНИЙДИАГНОСТИКА ВОДНО-ЭТАНОЛЬНЫХ РАСТВОРОВ С ПОМОЩЬЮ СПЕКТРОСКОПИИ КОМБИНАЦИОННОГО РАССЕЯНИЯ И ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙDIAGNOSTICS OF AQUEOUS ETHANOL SOLUTIONS USING RAMAN SPECTROSCOPY AND ARTIFICIAL NEURAL NETWORKSПластининИ. В.PlastininI. V.plastinin_ivan@mail.ruБуриковС. А.BurikovS. A.noemail@neicon.ruДоленкоТ. А.DolenkoT. A.noemail@neicon.ruЕфиторовА. О.EfitorovA. O.noemail@neicon.ruИсаевИ. В.IsaevI. V.noemail@neicon.ruЛаптинскийК. А.LaptinskiyK. A.noemail@neicon.ruСармановаО. Э.SarmanovaO. S.noemail@neicon.ruДоленкоС. А.DolenkoS. A.noemail@neicon.ruМосковский государственный университет им. М. В. ЛомоносоваРоссияLomonosov Moscow State UniversityRussian Federation201826102020133110116Copyright © Пластинин И.В., Буриков С.А., Доленко Т.А., Ефиторов А.О., Исаев И.В., Лаптинский К.А., Сарманова О.Э., Доленко С.А., 20202020Пластинин И.В., Буриков С.А., Доленко Т.А., Ефиторов А.О., Исаев И.В., Лаптинский К.А., Сарманова О.Э., Доленко С.А.Plastinin I.V., Burikov S.A., Dolenko T.A., Efitorov A.O., Isaev I.V., Laptinskiy K.A., Sarmanova O.S., Dolenko S.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://nguphys.elpub.ru/jour/article/view/57

Использован метод искусственных нейронных сетей для решения обратной задачи спектроскопии - для определения концентрации этанола, метанола, сивушного масла, этилацетата в водно-этанольных растворах по спектрам комбинационного рассеяния. Были получены следующие точности определения концентраций: 0,2 % для этанола, 2,7 % для метанола, 0,4 % для сивушного масла, 1,9 % для этилацетата. Результаты решения обратной задачи показали перспективность применения предложенных методов для диагностики водно-этанольных растворов и алкогольных напитков. Полученные результаты демонстрируют перспективы применения спектроскопии комбинационного рассеяния света в сочетании с современными методами обработки данных (методом искусственных нейронных сетей) для решения задач диагностики водно-этанольных растворов и алкогольных напитков. Предложенные подходы могут быть в дальнейшем использованы для разработки экспрессного неконтактного метода обнаружения вредных и опасных примесей в алкогольных напитках, а также для обнаружения контрафактных и низкокачественных напитков.

In this paper, the method of artificial neural networks was used to solve the inverse problem of spectroscopy - to determine the concentration of ethanol, methanol, fusel oil, ethyl acetate in aqueous ethanol solutions using spectra of Raman scattering. The following accuracy of concentration determination was obtained: 0.2 % for ethanol, 2.7 % for methanol, 0.4 % for fusel oil, 1.9 % for ethyl acetate. The results of the solution of the inverse problem demonstrated prospects of the proposed methods for the diagnostics of water-ethanol solutions and alcoholic beverages. The obtained results demonstrate the prospects of using Raman spectroscopy in combination with modern methods of data processing (artificial neural networks) for solution of the problems of diagnostics of aqueous ethanol solutions and alcoholic beverages. The proposed approaches can be further used for development of the express non-contact method of detection of harmful and dangerous impurities in alcoholic beverages, as well as for the detection of counterfeit and low-quality beverages.

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The authors declare that there are no conflicts of interest present.