Keywords
Abstract
This study presents the development and validation of a methodology for determining the multi-element composition of
wine products with geographical indication using Russian-made inductively coupled plasma atomic emission spectrometer (ICP-AES)
"Grand-ICP" ("VMK-Optoelektronika", Russia), which had not previously been applied to wine analysis. The research objects included
wine materials obtained under microvinification conditions from autochthonous, introduced and bred grape varieties, as well as finished
products from various manufacturers. The methodology for multi-element analysis was developed and experimentally substantiated,
followed by the construction of element profile diagrams and a comparative assessment of wine samples produced from grapes of
different geographical origins. Confidence intervals for the measurement of 13 elements were established based on 100 wine samples.
Initial data were obtained for products from eight viticulture and winemaking regions of Crimea. The study demonstrated the potential
applicability of domestically produced analytical equipment for authentication of wines with geographical indication. The resulting
multivariate normalized datasets can serve as the foundation for training datasets in machine learning applications, including neural
network models. The findings may be used to establish and expand regional database of genuine Crimean wine products, as well as to
develop new approaches to identification and quality control of wines.