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Publishing Language: Chinese | Open Access

Authentication of Xinjiang Pishan Hong Sheep Meat Based on Multi-element Fingerprinting

Laiyu ZHAO1 Hongru ZHANG1Jing WANG2 ( )Chunhui ZHANG1
Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Xinjiang Academy of Animal Science, Ürümqi 830000, China
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Abstract

The study explored a method based on multi-elements combined with multivariate analysis to authenticate Xinjiang Pishan Hong sheep meat. A total of 36 Pishan Hong sheep and 36 Hu sheep were collected and slaughtered. Semitendinosus and longissimus dorsi muscles were excised from each carcass for analysis of 51 mineral elements by inductively coupled plasma mass spectrometry (ICP-MS). Results indicated that the mineral elements, especially rare elements, in Xinjiang Pishan Hong sheep meat had distinctive fingerprint characteristics. The linear discriminant analysis (LDA) model built based on the mineral element data showed good discriminant performance for Xinjiang Pishan Hong sheep meat, especially longissimus dorsi with an accuracy of 100% and 99.29% for breed and muscle, respectively. Besides, La, Zn, Cs, Sn, Ho, Fe, Rh, Co, Se, Te, Mo, Al and Sb could be used as the major mineral elements to identify Pishan Hong sheep meat. Among them, Rh, Te and Ho had the highest variable importance in the projection (VIP) scores, and were found only in Pishan Hong sheep meat, thus being the key mineral markers for identifying Pishan Hong sheep meat. The accumulation of characteristic elements was related to regional characteristics.

CLC number: TS207 Document code: A Article ID: 1002-6630(2024)04-0300-07

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Food Science
Pages 300-306

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Cite this article:
ZHAO L, ZHANG H, WANG J, et al. Authentication of Xinjiang Pishan Hong Sheep Meat Based on Multi-element Fingerprinting. Food Science, 2024, 45(4): 300-306. https://doi.org/10.7506/spkx1002-6630-20230509-077

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Received: 09 May 2023
Published: 25 February 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).