| 光谱学与光谱分析 |
|
|
|
|
|
| Principal Component Analysis and Cluster Analysis of Inorganic Elements in Sea Cucumber Apostichopus Japonicus |
| LIU Xiao-fang, XUE Chang-hu*, WANG Yu-ming, LI Zhao-jie, XUE Yong, XU Jie |
| College of Food Science and Technology, Ocean University of China, Qingdao 266003, China |
|
|
|
|
Abstract The present study is to investigate the feasibility of multi-elements analysis in determination of the geographical origin of sea cucumber Apostichopus japonicus, and to make choice of the effective tracers in sea cucumber Apostichopus japonicus geographical origin assessment. The content of the elements such as Al，V，Cr，Mn，Fe，Co，Ni，Cu，Zn，As，Se，Mo，Cd，Hg and Pb in sea cucumber Apostichopus japonicus samples from seven places of geographical origin were determined by means of ICP-MS. The results were used for the development of elements database. Cluster analysis(CA) and principal component analysis( PCA) were applied to differentiate the sea cucumber Apostichopus japonicus geographical origin. Three principal components which accounted for over 89% of the total variance were extracted from the standardized data. The results of Q-type cluster analysis showed that the 26 samples could be clustered reasonably into five groups, the classification results were significantly associated with the marine distribution of the sea cucumber Apostichopus japonicus samples. The CA and PCA were the effective methods for elements analysis of sea cucumber Apostichopus japonicus samples. The content of the mineral elements in sea cucumber Apostichopus japonicus samples was good chemical descriptors for differentiating their geographical origins.
|
|
Received: 2011-02-15
Accepted: 2011-06-29
|
|
|
|
Corresponding Authors:
XUE Chang-hu
E-mail: xuech@ouc.edu.cn
|
|
[1] LIAO Yu-lin(廖玉麟). Fauna Sinica Echinodermata Holothuroidea(中国动物志棘皮动物门海参纲). Beijing: Science Press(北京: 科学出版社), 1997. 61.
[2] CHANG Ya-qing, DING Jun, SONG Jian, et al(常亚青, 丁 君, 宋 坚,等). Biological Research and Breeding of Sea Cucumber and Sea Urchin(海参、海胆生物学研究与养殖). Beijing: China Ocean Press(北京: 海洋出版社), 2004.
[3] KANG Hai-ning, YANG Miao-feng, CHEN Bo, et al(康海宁, 杨妙峰, 陈 波, 等). Rock and Mineral Analysis(岩矿测试), 2006, 25(1): 22.
[4] Valera P, Pablos F, Gustavo-Gonzalez A. Talanta, 1996, 43: 415.
[5] Antonio Moreda-Pineiro, Andrew Fisher, Steve J Hill. Journal of Food Composition and Analysis, 2003, 16: 195.
[6] Martín M J, Pablos F, González A G. Analytica Chimica Acta, 1998, 358: 177.
[7] CHEN Jun-hui, XIE Ming-yong, WANG Feng-mei, et al(陈军辉, 谢明勇, 王凤美, 等). Journal of Instrumental Analysis(分析测试学报), 2006, 25(2): 20.
[8] Bettina M F, Gremaud G, Hadorn R, et al. European Journal of Food Technology, 2005, 221: 493.
[9] Bresia M A, Caldarola V, Buccolieri G, et al. Italian Journal of Food Science, 2003, 15: 329.
[10] YANG Bao-ling, JIANG Jian, WANG Bing, et al(杨宝灵, 姜 健, 王 冰, 等). Journal of Anhui Agriculture Science (安徽农业科学), 2009, 37(2): 613.
[11] LI Xian-chun, WANG Xiao-ru(黎先春, 王小如). Key Analytical Technologies for the Quality Control of Chinese Medicinal Herbs Produced According to GAP Guidelines(中药材GAP实施过程中的关键分析技术). Xiamen: Xiamen University Press(厦门: 厦门大学出版社), 2002. 7.
|
| [1] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
| [2] |
MIAO Shu-guang1, SHAO Dan1*, LIU Zhong-yu2, 3, FAN Qiang1, LI Su-wen1, DING En-jie2, 3. Study on Coal-Rock Identification Method Based on Terahertz
Time-Domain Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1755-1760. |
| [3] |
TIAN Xue1, CHE Qian1, YAN Wei-min1, OU Quan-hong1, SHI You-ming2, LIU Gang1*. Discrimination of Millet Varieties and Producing Areas Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1841-1847. |
| [4] |
WANG Ling-ling1, 2, 3, WANG Bo1, 2, 3, XIONG Feng1, 2, 3, YANG Lu-cun1, 2, LI Jing-jing4, XIAO Yuan-ming1, 2, 3, ZHOU Guo-ying1, 2*. A Comparative Study of Inorganic Elements in Cultivativing Astragalus Membranaceus From Different Habitats[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1407-1412. |
| [5] |
TAN Yang1, WU Xiao-hong2, 3*, WU Bin4, SHEN Yan-jun1, LIU Jin-mao1. Qualitative Analysis of Pesticide Residues on Chinese Cabbage Based on GK Improved Possibilistic C-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1465-1470. |
| [6] |
YANG Yu-qing1, CAI Jiang-hui1, 2*, YANG Hai-feng1*, ZHAO Xu-jun1, YIN Xiao-na1. LAMOST Unknown Spectral Analysis Based on Influence Space and Data Field[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1186-1191. |
| [7] |
ZHANG Tian-liang, ZHANG Dong-xing, CUI Tao, YANG Li*, XIE Chun-ji, DU Zhao-hui, ZHONG Xiang-jun. Identification of Early Lodging Resistance of Maize by Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1229-1234. |
| [8] |
YAO Shan1, ZHANG Xuan-ling1, CAI Yu-xin1, HE Lian-qiong1, LI Jia-tong1, WANG Xiao-long1, LIU Ying1, 2*. Study on Distribution Characteristics of Different Nitrogen and
Phosphorus Fractions by Spectrophotometry in Baiyangdian
Lake and Source Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1306-1312. |
| [9] |
CAO Qiu-hong, LIN Hong-mei, ZHOU Wei, LI Zhao-xin, ZHANG Tong-jun, HUANG Hai-qing, LI Xue-min, LI De-hua*. Water Quality Analysis Based on Terahertz Attenuated Total Reflection Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 31-37. |
| [10] |
ZHANG Xin-xin1, LI Shang-ke1, LI Pao1, 2*, SHAN Yang2, JIANG Li-wen1, LIU Xia1. A Nondestructive Identification Method of Producing Regions of Citrus Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3695-3700. |
| [11] |
WU Ye-lan1, CHEN Yi-yu1, LIAN Xiao-qin1, LIAO Yu2, GAO Chao1, GUAN Hui-ning1, YU Chong-chong1. Study on the Identification Method of Citrus Leaves Based on Hyperspectral Imaging Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3837-3843. |
| [12] |
OUYANG Ai-guo, WAN Qi-ming, LI Xiong, XIONG Zhi-yi, WANG Shun, LIAO Qi-cheng. Research on Rich Borer Detection Methods Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3844-3850. |
| [13] |
LIN Hong-mei1, CAO Qiu-hong1, ZHANG Tong-jun1, LI Zhao-xin1, HUANG Hai-qing1, LI Xue-min1, WU Bin2, ZHANG Qing-jian3, LÜ Xin-min4, LI De-hua1*. Identification of Nephrite and Imitations Based on Terahertz Time-Domain Spectroscopy and Pattern Recognition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3352-3356. |
| [14] |
ZHANG Wei-fang1, 2, FAN Ke-feng3, LEI Jing-wei1, 2*, JI Liang1, 2. Infrared Fingerprint and Multivariate Statistical Analysis of Rehmannia Glutinosa[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3392-3398. |
| [15] |
MENG Fan, LIU Yang*, WANG Huan, YAN Qi-cai. Research and Implementation of High-Performance Wavemeter Based on Principle Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3625-3631. |
|
|
|
|
