Rapid Identification of Pork Adulterated in the Beef and Mutton by Infrared Spectroscopy
Rapid Identification of Pork Adulterated in the Beef and Mutton by Infrared Spectroscopy
复制标题
红外光谱法快速鉴别牛羊肉中掺假猪肉
DOI：
10.1155/2018/2413874
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发表时间：
2018-01-01
影响因子：
2
通讯作者：
Lin, Li
中科院分区：
文献类型：
--
作者：
Yang, Ling;Wu, Ting;Lin, Li
消费者担心食品掺假。猪肉是牛羊肉掺假的主要品种。传统的检测方法有其自身的局限性，因此，我们试图开发一种有效的和经济的识别方法，使用红外光谱技术的肉类。采用马氏距离法剔除光谱数据中的异常值。使用多重散射校正、标准正态变量、Savitzky-Golay平滑和归一化消除干扰。采用偏最小二乘判别分析（PLS-DA）和支持向量机（SVM）建立识别模型。在马氏距离法中，测试集的系数从0.93增加到0.99，RMSEC和RMSECV相应地从0.17降低到0.09和0.21降低到0.11。PLS-DA的校正集和测试集之间的决定系数分别达到0.99和0.99，RMSEC为0.06，RMSECV和RMSEP均为0.08。相比之下，在SVM中，方法为0.97和0.96。RMSEC、RMSECV和RMSEP分别为0.15、0.17和0.24。综上所述，采用红外光谱技术与PLS-DA相结合的识别方法优于SVM方法，可作为猪、牛、羊肉样品的有效识别方法。
Consumers concern about food adulteration. Pork meat is the principal adulterated species of beef and mutton. The conventional detection methods have their own limitations; therefore, we sought to develop an efficient and economical identification method using an infrared spectroscopy technique for meat. The Mahalanobis distance method was used to remove outliers in spectrum data. Interferences were eliminated using multiple scatter correction, standard normal variate, Savitzky-Golay smoothing, and normalization. The partial least square discriminant analysis (PLS-DA) and support vector machine (SVM) were used to establish identification models. In the Mahalanobis distance method, the coefficient of test sets was increased from 0.93 to 0.99; the RMSEC and RMSECV were decreased from 0.17 to 0.09 and 0.21 to 0.11 accordingly. The coefficient of determination in-between the calibration and testing sets in PLS-DA reached 0.99 and 0.99, RMSEC was 0.06, and both the RMSECV and RMSEP were 0.08. In contrast, in SVM, methods were 0.97 and 0.96. The RMSEC, RMSECV, and RMSEP were 0.15, 0.17, and 0.24, respectively. In summary, using a combination of infrared spectroscopy technology with PLS-DA was a better identification method than the SVM method that can be used as an effective method to identify pork, beef, and mutton meat samples.