Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn
Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn
复制标题
高光谱成像和多变量分析在快速、无创检测虾明胶掺假方面的潜力
DOI：
10.1016/j.jfoodeng.2013.06.039
复制
发表时间：
2013-12-01
影响因子：
5.5
通讯作者：
Bao, Yidan
中科院分区：
文献类型：
--
作者：
Wu, Di;Shi, Hui;Bao, Yidan
本研究探讨了高光谱成像检测明胶掺假对虾的可靠性和准确性。根据高光谱图像中虾的形状信息提取虾的光谱。利用最小二乘支持向量机（Least-squares support vector machines, LS-SVM）对明胶样品进行光谱校正。首次将无信息变量消除（UVE）和逐次投影算法（SPA）相结合，用于高光谱图像分析的最佳波长选择。UVE-SPA-LS-SVM模型的决定系数(r（p)(2)）为0.965，并将其转移到图像中的每个像素上，用于可视化对虾所有部分的明胶。结果表明，高光谱成像技术在对虾明胶掺假检测中具有很大的应用潜力。(C) 2013 Elsevier Ltd.版权所有。
In this study, the reliability and accuracy of hyperspectral imaging was investigated for detection of gelatin adulteration in prawn. The spectra of prawns were extracted according to the shape information of prawns contained in the hyperspectral images. Least-squares support vector machines (LS-SVM) was used to calibrate the gelatin concentrations of prawn samples with their corresponding spectral data. The combination of uninformation variable elimination (UVE) and successive projections algorithm (SPA) was applied for the first time to select the optimal wavelengths in the hyperspectral image analysis. The UVE-SPA-LS-SVM model led to a coefficient of determination (r(p)(2)) of 0.965 and was transferred to every pixel in the image for visualizing gelatin in all portions of the prawn. The results demonstrate that hyperspectral imaging has a great potential for detection of gelatin adulteration in prawn. (C) 2013 Elsevier Ltd. All rights reserved.