数字农科院2.0

Fatty acid composition and origin of frozen lamb determined by handheld NIR spectroscopy with chemometrics

文献类型： 外文期刊

作者： Feng, Yuchao;Wei, Peiling;Zheng, Wenxin;Zhang, Yushu;Gong, Ping;Fan, Xia

作者机构：

关键词： Frozen lamb;Fatty acid;Partial least squares regression;Partial least squares discriminant analysis;Handheld near-infrared spectrometer

期刊名称： MICROCHEMICAL JOURNAL

ISSN： 0026-265X

年卷期： 2025 年 212 卷

页码：

收录情况： SCIE（2025版）

摘要： Given the lack of on-site analytical tools for determining the origin and fatty acid (FA) composition of lamb, this study used a handheld near-infrared (NIR) spectrometer to build qualitative and quantitative models. A total of 144 frozen lamb samples from the Shandong (n = 24), Ningxia (n = 29), and Xinjiang (n = 91) provinces were analyzed, and prediction models were developed using partial least squares regression (PLSR) and partial least squares discriminant analysis (PLS-DA). Competitive adaptive reweighted sampling was employed to select characteristic wavelengths of the FA composition model. The PLSR results for the estimation of C14:0, C15:0, C16:0, C17:0, C18:0, C18:3n3, C20:4n6, and polyunsaturated fatty acid, with ratios of predictive deviation (RPDs) ranging from 1.79 to 1.96, was not recommended. The models for C16:1, C18:1n9t, C18:1n9c, C18:2n6c, C20:3n6, saturated fatty acid, and monounsaturated fatty acid (RPD = 2.11-2.46) were classified as rough screening, while C10:0 and C12:0 (RPD = 2.71 and 2.54, respectively) were classified as screening. PLS-DA could effectively distinguish between Ningxia and Shandong samples, but the prediction performance for Xinjiang cashmere was poor. These results demonstrate the potential of the handheld NIR device as a rapid and convenient on-site tool to predict the major FA compositions and origins of frozen lamb samples.

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