zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-460Research ArticleСтатьиДИНАМИЧЕСКАЯ СПЕКТРОСКОПИЯ КОМБИНАЦИОННОГО РАССЕЯНИЯ ДЛЯ ДИСКРИМИНАНТНОГО АНАЛИЗА КРАСНОГО ВИНАDYNAMIC RAMAN FUSION SPECTROSCOPY FOR RAPID QUALITY DISCRIMINANT ANALYSIS OF RED WINEZhangZh.-Y.ZhangZheng-Yong

Нанкин, Цзянсу 210023

School of Management Science and Engineering

zyzhang@nufe.edu.cnLiuJ.LiuJun

Нанкин, Цзянсу 210023

School of Management Science and Engineering

Нанкинский университет финансов и экономикиNanjing University of Finance and Economics202013032020871116121Copyright © Zhang Z., Liu J., 20202020Zhang Z., Liu J.Zhang Z., Liu J.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/460

В диапазоне времен лазерного излучения (1–5 с) получены динамические спектры КР красного вина марки (аа) как основного объекта исследования для наблюдения поведения молекул в вине в условиях эксперимента. Путем двумерного корреляционного анализа совмещенных данных построен трехмерный характеристический спектр КР вина. C использованием алгоритма подобия оценены флуктуации трехмерных спектров КР. На основе синхронной и асинхронной двумерной корреляционной спектроскопии КР получены коэффициенты корреляции 0.977±0.011 и 0.990±0.006. Показано, что образцы вина aa схожи и их можно эффективно отличить от двух других марок красного вина (bb и cc) на основании различия спектральных характеристик.

The dynamic Raman spectra of a brand of red wine (aa) as the main research object were collected over a range of laser integration times (1–5 s) to observe the changing trends of molecules in the wine under experimental conditions. The three-dimensional Raman characteristic spectrum of this wine was then constructed further by two-dimensional correlation fusion analysis. The fluctuations of the three-dimensional Raman spectra were also evaluated using a similarity algorithm. The correlation coefficients were 0.977 ± 0.011 and 0.990 ± 0.006 based on synchronous and asynchronous two-dimensional correlation Raman spectroscopy, respectively. These results suggested that the samples of wine aa were highly self-similar and could be effectively distinguished from two different brands of red wine (bb and cc) based on their different spectral responses. Therefore, this method has the potential to supplement existing methods for the classification analysis of red wine.

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