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利用近红外高光谱成像和人工蜂群检测不同成熟期鲜枣的可溶性固形物含量
食品检测
2026/09/21
摘要：为了对不同成熟期鲜枣的可溶性固形物含量（（ SSC）进行准确同步检测，利用高光谱成像建立稳健模型。利用四个 成熟期的组合数据建立网格搜索最小二乘支持向量机（GS-LS-SVM）模型。各成熟期样品的预测集的决定系数（Rp2）、 均方根误差（（ RMSEP）和残差预测偏差（（ RPD）分别为0.98、1.10%和7.85。此外，利用连续投影算法（（ SPA）提取组合 数据的特征波长。采用人工蜂群（（ ABC）算法（（ 对于预测集，Rp2～0.98，RMSEP～1.19％，RPD～7.25）对SPA-LS-SVM 模型进行改进，其效果优于SPA-GS-LS-SVM模型（（ 对于预测集，Rp2～0.98，RMSEP～1.24％，RPD～6.96）。最后，基 于SPA-ABC-LS-SVM模型对SSC分布图进行可视化，可清楚看到SSC在成熟过程中逐渐增加，表明构建多成熟期检测 模型是可行的。研究还表明高光谱成像与ABC相结合在农产品检测中具有良好的应用价值。
期刊：Journal of Analytical Methods in Chemistry
DOI：https://DOI.org/10.1155/2019/5032950
设备：GaiaSorter
Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony
Abstract：To perform accurate and synchronous detection of the soluble solid contents (SSC) in fresh jujubes at different stages of maturity, hyperspectral imaging was used to establish robust models. e combined data constituting four maturation stages were used to build the grid-search least squares support vector machine (GS-LS-SVM) model. e determination coefficient (Rp2), the root mean-square error (RMSEP), and the residual predictive deviation (RPD) of the prediction set for samples of the overall stages were 0.98, 1.10%, and 7.85, respectively. Furthermore, a successive projections algorithm (SPA) was used to extract the char acteristic wavelengths of the combined data. An artificial bee colony (ABC) algorithm (for the prediction set, Rp20.98, RMSEP1.19%, RPD7.25) was used to improve the SPA-LS-SVM model, which was better than the SPA-GS-LS-SVM model (for the prediction set, Rp20.98, RMSEP1.24%, RPD6.96). Lastly, visualization of the SSC distribution map was performed based on the SPA-ABC-LS-SVM model, which clearly showed that the SSC gradually increased during maturation. e results indicated that it was realistic to construct a detection model of the multimaturity stage. is research also demonstrated that the combination of hyperspectral imaging and the ABC had good application values in the testing of agricultural products.
