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Multi-metal element analysis for the identification of foodborne pathogenic bacteria
Zhang, XX; Li, XL; Wang, YD; Xu, QL; Hu, J; Lu, JH; Lu, JH (reprint author), Chinese Acad Sci, Shanghai Inst Appl Phys, CAS Key Lab Interfacial Phys & Technol, Div Phys Biol, Shanghai 201800, Peoples R China.; Li, XL (reprint author), Shanghai Ind Technol Inst, Ctr Clin & Translat Med, Shanghai Acad Sci & Technol, Shanghai Ctr Bioinformat Technol, Shanghai 201203, Peoples R China.
2016
Source PublicationANALYTICAL METHODS
ISSN1759-9660
Volume8Issue:27Pages:5421-5426
Subtype期刊论文
AbstractMineral element contents, combined with multivariate analysis, were used for the identification and classification of foodborne pathogens from a common genus (Rhodococcus equi, Staphylococcus spp., Listeria spp., Salmonella spp., Shigella spp., Escherichia coli, Enterobacter sakazakii, Yersinia enterocolitica and Vibrio spp.). 45 macro- and trace mineral elements of 30 foodborne pathogens were determined by a semiquantitative inductively coupled plasma mass spectrometry (SQ-ICP-MS) technique. The elemental analysis identified 10 significant elements (Si-28, Ca-43, Fe-57, Ti-47, Cr-52, Mn-55, Zn-66, Sr-88, Ba-137 and Pb-208) by ANOVA in different types of pathogens. Principal component analysis (PCA) reduced the 10 variables to 6 principal components which could explain 98.40% of the total variance. The classification models constructed by the Fisher linear discriminant analysis (Fisher LDA) and back-propagation artificial neural network (BP-ANN) achieved correctly classified rates of 86.9% and 91.3%, respectively. The results indicated that the combination of multi-metal element composition determination and multivariate analysis can be used as fingerprint to quickly identify and classify foodborne pathogens.
DOI10.1039/c6ay01408a
Indexed BySCI
Language英语
WOS IDWOS:000379480200010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sinap.ac.cn/handle/331007/26580
Collection中科院上海应用物理研究所2011-2018年
Corresponding AuthorLu, JH (reprint author), Chinese Acad Sci, Shanghai Inst Appl Phys, CAS Key Lab Interfacial Phys & Technol, Div Phys Biol, Shanghai 201800, Peoples R China.; Li, XL (reprint author), Shanghai Ind Technol Inst, Ctr Clin & Translat Med, Shanghai Acad Sci & Technol, Shanghai Ctr Bioinformat Technol, Shanghai 201203, Peoples R China.
Recommended Citation
GB/T 7714
Zhang, XX,Li, XL,Wang, YD,et al. Multi-metal element analysis for the identification of foodborne pathogenic bacteria[J]. ANALYTICAL METHODS,2016,8(27):5421-5426.
APA Zhang, XX.,Li, XL.,Wang, YD.,Xu, QL.,Hu, J.,...&Li, XL .(2016).Multi-metal element analysis for the identification of foodborne pathogenic bacteria.ANALYTICAL METHODS,8(27),5421-5426.
MLA Zhang, XX,et al."Multi-metal element analysis for the identification of foodborne pathogenic bacteria".ANALYTICAL METHODS 8.27(2016):5421-5426.
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