On the Development of the Fluorescence Excitation-Emission Etalon Matrix Algorithm of Wine

Miranda Khajıshvılı; Jaba Shaınıdze; Kakha Makharadze; Nugzar Gomıdze

doi:10.55549/epstem.1361727

Conference Paper

On the Development of the Fluorescence Excitation-Emission Etalon Matrix Algorithm of Wine

Year 2023, Volume: 23, 93 - 99, 30.09.2023

Miranda Khajıshvılı Jaba Shaınıdze Kakha Makharadze Nugzar Gomıdze

https://doi.org/10.55549/epstem.1361727

Abstract

Our research provides for the analysis of different types of Georgian wine based on 3D fluorescence spectroscopy (3DF) using the Black Comet (200-950 nm) spectrometer manufactured by StellarNet. In this method, the 3D fluorescence signal is divided into a fixed number of statistical components. For each type of wine, a 3D database is strictly defined, which we conventionally call references. The etalon describe the excitation/emission spectra in detail. The advantage of the 3DF method compared to other statistical methods, such as peak component analysis (PCA), lies in the uniqueness of the unfolding of the spectra. The fluorescence spectra of the wine will be further analyzed by peak component analysis (PCA). After performing the PCA analysis, in order to reduce the number of tolerant etalon, we used the tolerant etalon sample (TES) comparison analysis, thus determining how tolerant the researched wine sample is to this or that specific etalon.

Keywords

3D fluorescence spectroscopy , Peak component analysis , Wine analysis , Georgian wine , Tolerant etalon sample

References

Azcarate S. M. et al. (2015). Modeling excitation–emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety. Food Chem, 184, 214–219.
Gomidze N., Jabnidze I., Makharadze K., Khajishvili M., Shashikadze Z., Surmanidze Z., Surmanidze I. (2012). Numerical analyses of fluorescence characteristics of watery media via laser spectroscopy Method. Journal of Advanced Materials Research, 590, 206-211.
Gomidze N.K., Makharadze K.A., Khajishvili M.R., Jabnidze I.N., & Shashikadze Z.K. (2014). Some issues of fluorescence characteristics aqueous media via diagnosis of laser spectroscopy method. International Journal of Engineering, Science and Innovative Technology, 3(3), 142-152.

Year 2023, Volume: 23, 93 - 99, 30.09.2023

Miranda Khajıshvılı Jaba Shaınıdze Kakha Makharadze Nugzar Gomıdze

https://doi.org/10.55549/epstem.1361727

Abstract

References

Azcarate S. M. et al. (2015). Modeling excitation–emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety. Food Chem, 184, 214–219.
Gomidze N., Jabnidze I., Makharadze K., Khajishvili M., Shashikadze Z., Surmanidze Z., Surmanidze I. (2012). Numerical analyses of fluorescence characteristics of watery media via laser spectroscopy Method. Journal of Advanced Materials Research, 590, 206-211.
Gomidze N.K., Makharadze K.A., Khajishvili M.R., Jabnidze I.N., & Shashikadze Z.K. (2014). Some issues of fluorescence characteristics aqueous media via diagnosis of laser spectroscopy method. International Journal of Engineering, Science and Innovative Technology, 3(3), 142-152.

There are 3 citations in total.

Details

Primary Language	English
Subjects	Chemical Engineering (Other)
Journal Section	Articles
Authors	Miranda Khajıshvılı Jaba Shaınıdze Kakha Makharadze Nugzar Gomıdze
Early Pub Date	September 17, 2023
Publication Date	September 30, 2023
Published in Issue	Year 2023 Volume: 23

Cite

APA	Khajıshvılı, M., Shaınıdze, J., Makharadze, K., Gomıdze, N. (2023). On the Development of the Fluorescence Excitation-Emission Etalon Matrix Algorithm of Wine. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 93-99. https://doi.org/10.55549/epstem.1361727