用近红外高光谱成像和化学计量学测绘薯片中的丙烯酰胺含量

IF 9.8 1区农林科学 Q1 CHEMISTRY, APPLIED

Food Chemistry Pub Date : 2025-03-09 DOI:10.1016/j.foodchem.2025.143794

Carlos Miguel Peraza-Alemán , Ainara López-Maestresalas , Carmen Jarén , Jose Ignacio Ruiz de Galarreta , Leire Barandalla , Silvia Arazuri

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引用次数: 0

摘要

本研究探讨了近红外高光谱成像（NIR-HSI）预测薯片中丙烯酰胺含量的潜力。对两个马铃薯品种（Agria和Jaerla）在两个季节生长并在相同油炸条件下加工的总共300个块茎进行了分析。应用偏最小二乘回归（PLSR）和支持向量机回归（SVMR），结合丙烯酰胺水平的对数变换，建立预测模型。PLSR的最佳结果为R2p: 0.85, RMSEP: 201 μg/kg, RPD: 2.53； SVMR的最佳结果为R2p: 0.80, RMSEP: 229 μg/kg, RPD: 2.22。此外，重要波长的选择使变量减少87.95 %，而不影响模型的准确性。最后，对外部验证集中的所有芯片进行丙烯酰胺含量的空间映射。该方法提供了定量和可视化的能力，从而加强了加工马铃薯中丙烯酰胺鉴定的质量控制。

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Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics

This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed under the same frying conditions were analysed. Partial Least Square Regression (PLSR) and Support Vector Machine Regression (SVMR), combined with a logarithmic transformation of the acrylamide levels, were applied to develop predictive models. The most optimal outcomes for PLSR yielded R²_p: 0.85, RMSEP: 201 μg/kg and RPD: 2.53, while for SVMR yielded R²_p: 0.80, RMSEP: 229 μg/kg and RPD: 2.22. Furthermore, the selection of significant wavelengths enabled an 87.95 % reduction in variables without affecting the model's accuracy. Finally, spatial mapping of acrylamide content was conducted on all chips in the external validation set. This method provides both quantification and visualization capabilities, thus enhancing quality control for acrylamide identification in processed potatoes.

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来源期刊

Food Chemistry 工程技术-食品科技

CiteScore

16.30

自引率

10.20%

发文量

3130

审稿时长

122 days

期刊介绍： Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.