Issue |
E3S Web Conf.
Volume 595, 2024
5th International Conference on Agribusiness and Rural Development (IConARD 2024)
|
|
---|---|---|
Article Number | 02014 | |
Number of page(s) | 6 | |
Section | Agricultural Technology and Smart Farming | |
DOI | https://doi.org/10.1051/e3sconf/202459502014 | |
Published online | 22 November 2024 |
Identification of Prohibited Additives in Wines
All-Russian National Research Institute of Viticulture and Winemaking Magarach of the RAS, 298600 Yalta, Republic of Crimea, Russian Federation
* Corresponding author: Sofi4@list.ru
There is no uniform test or “black box method” to establish definitely the authenticity of wine samples. Methods and types of adulteration are constantly being modernized, requesting to improve and develop analytical methods of increasing the efficiency of identification and detection of counterfeits. The goal of the research is to create a system for diagnostics of prohibited process technologies and additives during the wine identification. The studies were carried out in 2016-2023. The objects of research are: wines; model systems obtained by introducing of permitted and prohibited additives. A total of 3.500 samples were examined. Enochemical indicators based on the principles of high-performance and gas-liquid chromatography, potentiometry and colorimetry were identified in the objects. The developed classifying system covers the range of detection of prohibited additives and a number of process technologies: coloring agents of different origin, flavoring agents, organic acids, water, glycerol; sugar- containing substances of non-grape origin, additives of non-grape raw materials. Each element of the system can be used to diagnose several types of counterfeits. The system is open for seeding and spreading. Methods of analysis of classifying indicators are quite simple and available for industrial laboratories of various levels.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.