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衰减全反射-傅里叶变换红外光谱结合化学计量学快速检测椰子水掺假。

Attenuated Total Reflectance-Fourier transform infrared spectroscopy coupled with chemometrics for the rapid detection of coconut water adulteration.

机构信息

Canadian Food Inspection Agency (CFIA), Greater Toronto Area Laboratory, Midland Avenue M1P 4R7, Toronto, ON, Canada.

Canadian Food Inspection Agency CFIA, National Headquarter, 1400 Merivale Road, Ottawa, Ontario K1A 0Y9, Canada.

出版信息

Food Chem. 2021 Sep 1;355:129616. doi: 10.1016/j.foodchem.2021.129616. Epub 2021 Mar 19.

Abstract

Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR), in combination with chemometrics, was explored as a rapid method of detecting sugar adulteration in coconut water. In a simulated experiment, coconut water was substituted with binary sugars, mixed sugars, and high fructose corn syrup and discriminated using the fingerprint infrared band region between 1200 and 950 cm. Principal component analysis (PCA) performed on data pre-processed by the Savitzky-Golay smoothing and gap-segment derivative, revealed data clusters discernible by the type and level of substituted sugars, enabling visual diagnosis of the similarity and anomalous features in the dataset. Statistical performance metrics following a cross-validated partial least square (PLS) regression indicated the prediction of adulterant sugars at single-digit percent substitutions. A parallel exploratory analysis of 31 different commercial coconut water samples showed a distinct PCA clustering for samples bearing the label "added sugar", suggesting the potential use of the methods to screening samples for undeclared sugar additions.

摘要

衰减全反射-傅里叶变换红外光谱(ATR-FTIR)结合化学计量学,被探索用于快速检测椰子水中的糖掺假。在模拟实验中,用二元糖、混合糖和高果糖玉米糖浆替代椰子水,并使用指纹红外波段区域(1200 至 950 cm)进行区分。对经过 Savitzky-Golay 平滑和间隙分段导数预处理的数据进行主成分分析(PCA),揭示了可通过替代糖的类型和水平识别的数据聚类,从而能够对数据集的相似性和异常特征进行直观诊断。经过交叉验证偏最小二乘(PLS)回归的统计性能指标表明,对单个位数百分比替代的掺杂物糖具有预测能力。对 31 个不同商业椰子水样本的平行探索性分析表明,带有“添加糖”标签的样本具有明显的 PCA 聚类,这表明该方法有可能用于筛选样品中未申报的糖添加物。

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