Food Irradiation·Food Science
HONG Heyang, ZHANG Xinze, ZHANG Xiuzhen, HAN Dianfeng, CUI Yanmei, ZHAO Junqiang, GONG Xianghong, XU Yingjiang
To explore the feasibility of identifying the geographical origin of abalone by combining Sr stable isotope and multi-element, Haliotis discus hannai from Dalian, Liaoning, Changdao, Rongcheng, Shandong, and Lianjiang, Fujian were used in this study. 87Sr/86Sr, 88Sr/86Sr and 20 mineral elements in different tissues of abalone (gastropod muscle, muscle edge, digestive glands and gonads, mantle) were measured by inductively coupled plasma mass spectrometry. Three chemometrics methods were used to construct the abalone origin traceability model and screen high-quality indicators. The results showed that there were significant differences in 22 indexes of 4 tissues (except for Li element of digestive glands and gonads) among 4 origins (P<0.05). Through the dimension reduction processing of principal component analysis, abalone from different origins can be distinguished to a certain extent by using 22 indicators, but there were overlap as well. Two method of discriminant analysis were used to establish a discriminant model in gastropod muscle, muscle edge, digestive glands and gonads, mantle of abalone. The correct discrimination rates of the four tissues in orthogonal partial least squares discriminant analysis (OPLS-DA) were 99.0%, 97.0%, 99.0%, and 95.5%, respectively. The cross-validation accuracy rates for the four tissues of linear discriminant analysis (LDA) were 97.0%, 97.5%, 99.0%, and 96.0%, respectively. Both models showed good discrimination effect. Compared with the independent identification of Sr stable isotope, the accuracy of identification of all tissues by Sr stable isotope and multi-element combination has been improved. The combination of muscle tissue (gastropod muscle, muscle edge) and digestive glands and gonads can accurately identify the origin of abalone with 100% accuracy, reflecting a good traceability effect. This research aims to construct a fast and efficient abalone origin identification technology to ensure the authenticity of origin information and provides data support for the establishment of a sound aquatic product traceability system.