Origin Identification and Quantitative Analysis of Honeys by Nuclear Magnetic Resonance and Chemometric Techniques
Zheng, X; Zhao, YR; Wu, HF; Dong, JY; Feng, JH; Feng, JH (reprint author), Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China. jianghua.feng@xmu.edu.cn
发表期刊FOOD ANALYTICAL METHODS
ISSN1936-9751
2016-06-01
卷号9期号:6页码:1470-1479
关键词Honey Quality Control Nuclear Magnetic Resonance Chemometric Analysis Origin Identification
DOI10.1007/s12161-015-0325-1
产权排序[Zheng, Xin; Zhao, Yanrong; Dong, Jiyang; Feng, Jianghua] Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China; [Wu, Huifeng] Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
作者部门中科院海岸带环境过程与生态修复重点实验室
英文摘要The combination of H-1 NMR spectroscopy and multivariate statistical analysis has become a promising method for the discrimination of food origins. In this paper, this method has been successfully employed to analyze 70 Chinese honey samples from eight botanic origins, three geographical origins, and five production dates. Thirty-three components in honey samples were detected and identified from their H-1 NMR spectra, and 20 of them were accurately quantified by comparing their integral area with that of internal standards with relaxation time correction. Nontargeted principal component analysis (PCA) has been applied to distinguish the honeys from different botanical and geographical origins. The variations of components in the honeys, including saccharides and all kind of amino and organic carboxylic acids, confirmed their clustering according to their origins in PCA scores plots. Orthogonal partial least squares discriminant analysis (OPLS-DA) based on the NMR data for the different pairwise honey samples allows to identify the compositional variations contributed to geographical discrimination and storage time. Hence, NMR spectroscopy coupled with chemometric techniques offers an efficient tool for quality control of honey, and it could further serve to the classification, qualitative and quantitative control of other foods.
文章类型Article
资助机构Key Project of Science and Technology Commission of Fujian Province(2014H0045) ; Fundamental Research Funds for the Central Universities(2013121007) ; NCET
收录类别SCI
语种英语
关键词[WOS]VOLATILE COMPOSITION ; NMR-SPECTROSCOPY ; STORAGE ; CLASSIFICATION ; PARAMETERS ; COMPONENTS ; FRUCTOSE ; QUALITY ; GLUCOSE ; ACACIA
研究领域[WOS]Food Science & Technology
WOS记录号WOS:000375331900003
引用统计
被引频次:38[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/17054
专题中国科学院海岸带环境过程与生态修复重点实验室
通讯作者Feng, JH (reprint author), Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China. jianghua.feng@xmu.edu.cn
作者单位1.Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance
2.Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai Inst Coastal Zone Res
推荐引用方式
GB/T 7714
Zheng, X,Zhao, YR,Wu, HF,et al. Origin Identification and Quantitative Analysis of Honeys by Nuclear Magnetic Resonance and Chemometric Techniques[J]. FOOD ANALYTICAL METHODS,2016,9(6):1470-1479.
APA Zheng, X,Zhao, YR,Wu, HF,Dong, JY,Feng, JH,&Feng, JH .(2016).Origin Identification and Quantitative Analysis of Honeys by Nuclear Magnetic Resonance and Chemometric Techniques.FOOD ANALYTICAL METHODS,9(6),1470-1479.
MLA Zheng, X,et al."Origin Identification and Quantitative Analysis of Honeys by Nuclear Magnetic Resonance and Chemometric Techniques".FOOD ANALYTICAL METHODS 9.6(2016):1470-1479.
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