在传统的cachaças中使用NIR光谱学量化酒精含量和识别欺诈行为
Valber Elias de Almeida1, José Félix de B Neto2, Taliana Kênia A Bezerra3
1Universidade Estadual da Paraíba, Departamento de Química, Zip Code 58.429-500, Campina Grande, PB, Brazil.
Food chemistry
|March 22, 2025
概括
这项研究介绍了近红外 (NIR) 光谱作为一种可持续的方法来分析巴西cachaça. 它提供精确的酒精含量测定和欺诈检测,取代了昂贵的传统技术.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 食品科学 食品科学 食品科学
背景情况:
- 卡卡萨是一种重要的巴西精神,具有重大经济影响.
- 传统的质量控制是劳动密集型,昂贵和耗时的.
- 在cachaça生产中需要有效,环保的分析方法.
研究的目的:
- 开发和验证近红外 (NIR) 光谱方法用于卡卡萨分析.
- 量化酒精含量并检测cachaça样本中的欺诈行为.
- 建立一个可持续且具有成本效益的质量控制替代方案.
主要方法:
- 分析了来自巴西巴拉伊巴州布雷霍小区的462个卡卡萨样本.
- 变量选择算法的应用:PLS,MCUVE-PLS,CARS-PLS,以及iSPA-PLS. 这三种算法都在应用中.
- 使用MCUVE-PLS-DA/OFF和iSPA-PLS-DA/OFF模型进行欺诈检测和酒精量的量化.
主要成果:
- 这种MCUVE-PLS-DA/OFF模型在欺诈检测方面取得了97.3%的准确性.
- 该iSPA-PLS-DA/OFF模型在酒精含量确定方面表现出高精度 (RMSEP=0.16v/v,RPD=59.04,r=0.99).
- 尼尔光谱消除了对化学试剂的需求,提供了一种环保的方法.
结论:
- 尼尔射线光谱为传统的cachaça质量控制提供了一种可行的,可持续的和具有成本效益的替代方案.
- 开发的模型提高了可解释性,并降低了计算成本.
- 这种方法确保了cachaça生产的监管合规性和一致性.
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