Liu Yu, Zhang Xufeng, Li Ying, Wang Haixia
College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China.
Navigation College, Dalian Maritime University, Dalian, China.
J Sci Food Agric. 2017 Nov;97(14):4912-4921. doi: 10.1002/jsfa.8367. Epub 2017 May 29.
Geographical origin traceability is an important issue for controlling the quality of seafood and safeguarding the interest of consumers. In the present study, a new method of compound-specific isotope analysis (CSIA) of fatty acids was established to evaluate its applicability in establishing the origin traceability of Apostichopus japonicus in the coastal areas of China. Moreover, principal component analysis (PCA) and discriminant analysis (DA) were applied to distinguish between the origins of A. japonicus.
The results show that the stable carbon isotope compositions of fatty acids of A. japonicus significantly differ in terms of both season and origin. They also indicate that the stable carbon isotope composition of fatty acids could effectively discriminate between the origins of A. japonicus, except for between Changhai Island and Zhangzi Island in the spring of 2016 because of geographical proximity or the similarity of food sources. The fatty acids that have the highest contribution to identifying the geographical origins of A. japonicus are C22:6n-3, C16:1n-7, C20:5n-3, C18:0 and C23:1n-9, when considering the fatty acid contents, the stable carbon isotope composition of fatty acids and the results of the PCA and DA.
We conclude that CSIA of fatty acids, combined with multivariate statistical analysis such as PCA and DA, may be an effective tool for establishing the traceability of A. japonicus in the coastal areas of China. The relevant conclusions of the present study provide a new method for determining the traceability of seafood or other food products. © 2017 Society of Chemical Industry.
地理来源可追溯性是控制海产品质量和维护消费者利益的重要问题。在本研究中,建立了一种脂肪酸化合物特异性同位素分析(CSIA)新方法,以评估其在中国沿海地区刺参产地溯源中的适用性。此外,应用主成分分析(PCA)和判别分析(DA)来区分刺参的产地。
结果表明,刺参脂肪酸的稳定碳同位素组成在季节和产地方面均存在显著差异。结果还表明,脂肪酸的稳定碳同位素组成能够有效区分刺参的产地,但2016年春季长海县和獐子岛之间除外,因为两地地理位置相近或食物来源相似。综合考虑脂肪酸含量、脂肪酸的稳定碳同位素组成以及PCA和DA的结果,对刺参地理来源识别贡献最大的脂肪酸为C22:6n-3、C16:1n-7、C20:5n-3、C18:0和C23:1n-9。
我们得出结论,脂肪酸CSIA结合PCA和DA等多元统计分析,可能是建立中国沿海地区刺参可追溯性的有效工具。本研究的相关结论为确定海产品或其他食品的可追溯性提供了一种新方法。©2017化学工业协会。