Identification of Jiaozhou Bay Clams (Ruditapes philippinarum) by Multi-element Fingerprinting Technique

被引:16
|
作者
Zhao, Haiyan [1 ]
Zhang, Shuangling [1 ]
机构
[1] Qingdao Agr Univ, Food Sci & Engn Coll, 700 Changcheng Rd, Qingdao 266109, Peoples R China
基金
中国国家自然科学基金;
关键词
Clam; Authentication; Multi-element; Geographical origin; Season; Variety; PLASMA-MASS SPECTROMETRY; GEOGRAPHICAL ORIGIN; METAL CONCENTRATIONS; HEAVY-METALS; CHINA; CADMIUM; WHEAT; ZINC; SOIL; CLASSIFICATION;
D O I
10.1007/s12161-016-0461-2
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The objective of this study was to develop an analytical method for protecting Jiaozhou Bay clam (Ruditapes philippinarum) with Protected Designation of Origin (PDO). The R. philippinarum samples were collected from three major producing areas (Jiaozhou Bay, Nantong coast, and Dalian coast) in China, and the Meretrix meretrix samples were from Nantong coast in May and September 2014. The contents of 46 elements in all clam samples were determined by inductively coupled plasma mass spectrometry. The obtained data were analyzed using analysis of variance, principal component analysis, and stepwise linear discriminant analysis. The results showed that both the geographical origin and season affected elemental contents in R. philippinarum. Seven elements (Mg, Cd, Sn, Sb, Cs, Ba, and U) independent of seasonal variation were selected as good indicators for discriminating the geographical origin of clams. Based on the discriminant models built with these seven elements, the predictions of the geographic origin gave an overall correct classification rate of 100.0 % and a cross-validation rate of 97.2 %. In addition, R. philippinarum and M. meretrix had their own elemental fingerprinting patterns and could be distinguished. Therefore, the multi-element analysis combined with multivariate statistics can be used for the identification of Jiaozhou Bay clam with PDO.
引用
收藏
页码:2691 / 2699
页数:9
相关论文
共 30 条
  • [1] Identification of Jiaozhou Bay Clams (Ruditapes philippinarum) by Multi-element Fingerprinting Technique
    Haiyan Zhao
    Shuangling Zhang
    Food Analytical Methods, 2016, 9 : 2691 - 2699
  • [2] Effects of sediment, seawater, and season on multi-element fingerprints of Manila clam (Ruditapes philippinarum) for authenticity identification
    Zhao, Haiyan
    Zhang, Shuangling
    FOOD CONTROL, 2016, 66 : 62 - 68
  • [3] Accumulation of petroleum hydrocarbons and heavy metals in clams (Ruditapes philippinarum) in Jiaozhou Bay, China
    Haiqing Ma
    Qian Song
    Xuchen Wang
    Chinese Journal of Oceanology and Limnology, 2009, 27 : 887 - 897
  • [4] Accumulation of petroleum hydrocarbons and heavy metals in clams (Ruditapes philippinarum) in Jiaozhou Bay, China
    Ma Haiqing
    Song Qian
    Wang Xuchen
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2009, 27 (04) : 887 - 897
  • [5] Investigation of heavy metals in sediments and Manila clams Ruditapes philippinarum from Jiaozhou Bay, China
    Xiaoyu Wang
    Yi Zhou
    Hongsheng Yang
    Qing Wang
    Shilin Liu
    Environmental Monitoring and Assessment, 2010, 170 : 631 - 643
  • [6] Investigation of heavy metals in sediments and Manila clams Ruditapes philippinarum from Jiaozhou Bay, China
    Wang, Xiaoyu
    Zhou, Yi
    Yang, Hongsheng
    Wang, Qing
    Liu, Shilin
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, 170 (1-4) : 631 - 643
  • [7] Spatial and Temporal Distribution of the Multi-element Signatures of the Estuarine Non-indigenous Bivalve Ruditapes philippinarum
    Vieira, Soraia
    Barrulas, Pedro
    Chainho, Paula
    Dias, Cristina Barrocas
    Sroczynska, Katarzyna
    Adao, Helena
    BIOLOGICAL TRACE ELEMENT RESEARCH, 2022, 200 (01) : 385 - 401
  • [8] Multi-element Fingerprinting as a Tool in Origin Authentication of Four East China Marine Species
    Guo, Lipan
    Gong, Like
    Yu, Yanlei
    Zhang, Hong
    JOURNAL OF FOOD SCIENCE, 2013, 78 (12) : C1852 - C1857
  • [9] A Multi-Elements Isotope Approach to Assess the Geographic Provenance of Manila Clams (Ruditapes philippinarum) via Recombining Appropriate Elements
    Won, Eun-Ji
    Kim, Seung Hee
    Go, Young-Shin
    Kumar, K. Suresh
    Kim, Min-Seob
    Yoon, Suk-Hee
    Bayon, Germain
    Kim, Jung-Hyun
    Shin, Kyung-Hoon
    FOODS, 2021, 10 (03)
  • [10] Origin traceability of peanut kernels based on multi-element fingerprinting combined with multivariate data analysis
    Zhao, Haiyan
    Wang, Feng
    Yang, Qingli
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2020, 100 (10) : 4040 - 4048