关于葡萄酒真实性和可追溯性的全面审查:当前的问题,解决方案和未来的前景
Hai-Qing Qiang1, Hui-Wen Gu1, Xiao-Li Yin1
1College of Chemistry and Environmental Engineering, College of Life Sciences, Yangtze University, Jingzhou 434023, China.
Food chemistry
|February 20, 2026
概括
确保葡萄酒的真实性和原产地可追溯性对消费者和市场至关重要. 本研究回顾了用于打击葡萄酒欺诈的分析技术和机器学习,并提出了供应链透明度的未来进展.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 农业经济学 农业经济学
背景情况:
- 全球葡萄酒市场面临着重大挑战,欺诈行为影响了消费者信任和市场完整性.
- 真实性和原产地可追溯性对于保持公平贸易和消费者对葡萄酒产品的信心至关重要.
研究的目的:
- 综合审查普遍存在的葡萄酒欺诈问题.
- 评估用于葡萄酒真实性和可追溯性的现代分析和机器学习技术.
- 确定未来的研究方向,以提高葡萄酒的完整性.
主要方法:
- 对分析技术 (光谱学,色谱学,质谱学,智能传感) 的科学文献进行审查.
- 分析机器学习在葡萄酒认证和地理来源验证中的应用.
- 对数据库开发和供应链透明度的区块链技术进行当前研究的综合.
主要成果:
- 各种分析和机器学习方法在检测葡萄酒欺诈和验证产地方面显示出前景.
- 传统分析技术与先进的机器学习的整合正在推动葡萄酒认证.
- 新兴的智能传感技术为快速检测提供了新的途径.
结论:
- 快速检测方法的持续发展至关重要.
- 将深度学习与传统分析技术相结合,并建立全面的葡萄酒指纹数据库是关键.
- 利用区块链技术可以显著提高供应链的透明度,并打击葡萄酒欺诈.
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