基于智能手机的数字图像方法对斯洛伐克Tokaj葡萄酒认证提供化学测量辅助
Larisa Onça1, Nemanja Koljančić2, Katarína Furdíková3
1Instituto de Química, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves, 9500, 91501-970 Porto Alegre, RS, Brazil.
Food chemistry
|June 14, 2024
概括
这项研究使用先进的化学测量模型对斯洛伐克葡萄酒与国际品种进行了认证. DD-SIMCA和PLS-DM方法实现了100%的准确性,证明了葡萄酒认证的有效性.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 化学测量 化学测量 化学测量
背景情况:
- 葡萄酒认证对于质量控制和消费者保护至关重要.
- 地理来源显著影响葡萄酒的特点.
- 开发可靠的葡萄酒认证方法是一个持续的挑战.
研究的目的:
- 通过将斯洛伐克葡萄酒与来自匈牙利,法国,奥地利和乌克兰的葡萄酒进行比较来验证斯洛伐克葡萄酒的真实性.
- 评估三个化学模型 (OC-PLS,DD-SIMCA,PLS-DM) 对葡萄酒认证的性能.
- 用智能手机捕获的数据来评估图像分析的有效性.
主要方法:
- 使用了63个葡萄酒样本 (41个斯洛伐克,22个国际),包括品种, cuvée 和精华类型.
- 采用了正交的部分最小平方区分分析 (OC-PLS),类类类比的软独立建模 (DD-SIMCA) 和部分最小平方区分建模 (PLS-DM).
- 在受控的照明条件下使用智能手机进行数字图像捕捉的定制设置.
主要成果:
- 在培训期间,敏感度为96% (OC-PLS),100% (DD-SIMCA) 和96% (PLS-DM).
- 在验证和测试中,DD-SIMCA和PLS-DM实现了100%的灵敏度和特异性.
- OC-PLS的效率较低,在验证中90%的灵敏度,在测试中80%的灵敏度.
结论:
- 使用图像分析的DD-SIMCA和PLS-DM模型对于认证斯洛伐克葡萄酒的真实性非常有效.
- 这些方法显示出在区分葡萄酒根据地理来源方面有很好的潜力.
- 为了获得可比性能,可能需要对OC-PLS模型进行进一步的优化.
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