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使用近红外和中红外光谱检测可可中的胡卜粉伪造:全面的分类和回归分析

Sebahattin Serhat Turgut¹, Huseyin Ayvaz², Muhammed Ali Dogan²

¹Süleyman Demirel University, Faculty of Engineering and Natural Sciences, Dept. of Food Engineering, 32260 Isparta, Türkiye.

Food research international (Ottawa, Ont.)

|April 23, 2025

概括

快速红外光谱法准确地检测可可粉中的胡卜粉改. 这些技术为食品认证和质量控制提供了强大的,非破坏性的选,确保了产品的完整性.

科学领域:

食品科学与技术食品科学与技术
分析化学分析化学
频谱学是一种光谱学.

背景情况:

可可粉在经济上具有重要意义,但容易被更便宜的材料 (如胡卜粉) 改.
使用传统的感官方法很难检测低级别的改.
为了有效的食品认证,需要快速分析技术.

研究的目的:

为了评估振动光谱 (NIR和MIR) 结合多变量分析检测可可粉中的胡卜粉的有效性.
开发和比较用于伪造检测和定量化的分类和回归模型.

主要方法:

使用基板FT-NIR,便携式NIR和FT-MIR-ATR光谱仪收集的光谱数据.
样本包括纯可可,纯胡卜和混合物 (0-60%胡卜).
开发了各种分类 (RF,SVM,MLP,kNN,LDA,软投票) 和回归 (RF,SVM,MLP,kNN,PLS,投票回归器) 模型.

主要成果:

使用FT-NIR,便携式NIR和FT-MIR-ATR的分类模型实现了高分辨率 (AUC>0.99).
回归模型显示出强大的预测能力,FT-MIR和便携式NIR模型显示出异常的准确性 (RPD>16和13).
确定了关键的预测波长,突出了用于伪造检测至关重要的光谱区域.

结论:

近红外 (NIR) 和中红外 (MIR) 光谱是有效,快速和非破坏性的工具,用于检测可可中的胡卜改.
这些光谱技术与多变量分析相结合,适用于食品认证和质量控制应用.
该研究验证了便携式和台式光谱设备在实时过程监测和产品验证方面的潜力.

关键词:

胡卜糖是一种碳酸盐.化学测量化学测量化学测量可可可可可可可可可可可可可可可可可可可可可可可可可可可可可这就是MIR MIR.在NIR中,NIR是NIR.没有破坏性分析.

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