Establishment of Element Fingerprints and Application to Geographical Origin Identification of Chinese Fenghuangdancong Tea by ICP-MS

被引:5
|
作者
Zhang, Xiancai [1 ,2 ,3 ]
Wu, Huiqin [2 ]
Huang, Xiaolan [2 ]
Zhang, Chunhua [2 ]
机构
[1] Chinese Acad Sci, Guangzhou Inst Chem, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Inst Anal, Guangdong Prov Publ Lab Anal & Testing Technol, Guangzhou, Guangdong, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
关键词
tea; inductively coupled plasma mass spectrometry; element fingerprints; geographical origin; GREEN TEA; PATTERN-RECOGNITION; CLASSIFICATION; PROFILE;
D O I
10.3136/fstr.24.599
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The purpose of this study is to examine the feasibility of element fingerprints in identifying the geographical origin of Fenghuangdancong and other Chinese tea. A total of 45 elements were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Element fingerprints were established by transferring element composition into graphs. Similarity degrees of element fingerprints and linear discriminant analysis were performed in order to identify tea samples according to their origin. The analysis revealed a satisfactory separation of tea samples according to their origin with 93.3 % classifications rate of similarity degrees and 96.6 % predictive ability of the cross -validation of linear discriminant analysis. There is small difference between each other. The analysis indicated element fingerprints could be used to identify the authenticity of Fenghuangdancong tea.
引用
收藏
页码:599 / 608
页数:10
相关论文
共 50 条
  • [11] Establishment and Application of a Dual Immunoassay Method Based on ICP-MS for Stable Element Labeling Antibodies
    Ji, Xuyao
    Wu, Jing
    Zhang, Jing
    Yang, Wenxu
    Liu, Yu
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2024,
  • [12] Application of ICP-MS in Evaluating Element Contamination in Soils
    Wu Ying-juan
    Chen Yong-heng
    Yang Chun-xia
    Chang Xiang-yang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28 (12) : 2970 - 2974
  • [13] Application of ICP-MS in evaluating element contamination in soils
    School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
    Guang Pu Xue Yu Guang Pu Fen Xi, 2008, 12 (2970-2974):
  • [14] Chemometrics identification of geographical origin of garlic in Korea using elements concentrations data obtained by ICP-OES and ICP-MS
    Kim, Haejin
    Sim, Kyu Sang
    Hur, Suel Hye
    Song, Jisook
    Kim, Ho Jin
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 136
  • [15] Analysis of the mineral composition of Italian saffron by ICP-MS and classification of geographical origin
    D'Archivio, Angelo Antonio
    Giannitto, Andrea
    Incani, Angela
    Nisi, Stefano
    FOOD CHEMISTRY, 2014, 157 : 485 - 489
  • [16] Identification of the geographical origin of Ecolly (Vitis vinifera L.) grapes and wines from different Chinese regions by ICP-MS coupled with chemometrics
    Gao, Feifei
    Hao, Xiaoyun
    Zeng, Guihua
    Guan, Lingxiao
    Wu, Hao
    Zhang, Liang
    Wei, Ruteng
    Wang, Hua
    Li, Hua
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2022, 105
  • [17] Determination and evaluation of a trace element pattern in urine of clinical origin by ICP-MS
    Bertram, C
    Brandt, R
    Jakubowski, N
    Amend, M
    TRACE ELEMENTS AND ELECTROLYTES, 2004, 21 (03) : 159 - 167
  • [18] Determination of the geographical origin of chicken (breast and drumstick) using ICP-OES and ICP-MS: Chemometric analysis
    An, Jae-Min
    Hur, Suel Hye
    Kim, Hyoyoung
    Lee, Ji Hye
    Kim, Yong-Kyoung
    Sim, Kyu Sang
    Lee, Sung-Eun
    Kim, Ho Jin
    FOOD CHEMISTRY, 2024, 437
  • [19] Geographical origin discriminatory analysis of onions: Chemometrics methods applied to ICP-OES and ICP-MS analysis
    Sim, Kyu Sang
    Kim, Hyoyoung
    Hur, Suel Hye
    Na, Tae Woong
    Lee, Ji Hye
    Kim, Ho Jin
    FOOD RESEARCH INTERNATIONAL, 2024, 175
  • [20] Microwave-assisted sample preparation of Hungarian raw propolis in quartz vessels and element analysis by ICP-OES and ICP-MS for geographical identification
    Soos, Aron
    Bodi, Eva
    Varallyay, Szilvia
    Molnar, Szabolcs
    Kovacs, Bela
    TALANTA, 2021, 233 (233)