Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Environ Sci Pollut Res Int. 2021 Nov;28(42):59150-59164. doi: 10.1007/s11356-020-09681-5. Epub 2020 Jun 23.
The guarantee of wine authenticity arises great concern because of its nutritional and economic importance. Phenolic fingerprints have been used as a source of chemical information for various authentication issues, including botanical and geographical origin, as well as vintage age. The local environment affects wine production and especially its phenolic metabolites. Integrated analytical methodologies combined with chemometrics can be applied in wine fingerprinting studies for the determination and establishment of phenolic markers that contain comprehensive and standardized information about the wine profile and how it can be affected by various environmental factors. This review summarizes all the recent trends in the generation of chemometric models that have been developed for treating chromatographic data and have been used for the investigation of critical wine authenticity issues, revealing phenolic markers responsible for the botanical, geographical, and vintage age classification of wines. Overall, the current review suggests that chromatographic methodologies are promising and powerful techniques that can be used for the accurate determination of phenolic compounds in difficult matrices like wine, highlighting the advantages of the applications of supervised chemometric tools over unsupervised for the construction of prediction models that have been successfully used for the classification based on their territorial and botanical origin.
由于葡萄酒的营养价值和经济重要性,其真实性保障引起了极大的关注。指纹图谱已被用作各种鉴定问题的化学信息来源,包括植物学和地理起源以及陈年年份。当地环境会影响葡萄酒的生产,特别是其酚类代谢物。综合分析方法与化学计量学相结合可应用于葡萄酒指纹图谱研究,以确定和建立包含有关葡萄酒特征及其如何受各种环境因素影响的综合和标准化信息的酚类标志物。本文综述了为处理色谱数据而开发的化学计量学模型的最新发展趋势,并用于研究关键的葡萄酒真实性问题,揭示了负责葡萄酒植物学、地理和陈年年份分类的酚类标志物。总的来说,目前的综述表明,色谱方法是很有前途和强大的技术,可用于准确测定葡萄酒等复杂基质中的酚类化合物,突出了监督化学计量工具应用于预测模型构建的优势,这些模型已成功用于基于其地域和植物学起源的分类。