APM OpenIR
Compositional identification and authentication of Chinese honeys by H-1 NMR combined with multivariate analysis
He, Chenxi1; Liu, Yun2; Liu, Huili3; Zheng, Xin1; Shen, Guiping1; Feng, Jianghua1
2020-04-01
Source PublicationFOOD RESEARCH INTERNATIONAL
ISSN0963-9969
Volume130Pages:9
AbstractHoney authentication has been becoming more and more important and necessary to the honey producers, the consumers and the market regulatory authority due to its favorite organoleptic and healthy properties, high value and increasing export but prevalent falsification practice for economic motivation in China and the potential health risk of adulterated honey. In this study, we obtained the spectral profiles of 90 authentic and 75 adulterated Chinese honey samples by means of high resolution nuclear magnetic resonance (NMR) spectroscopy, and 65 kinds of major and minor components in honey were identified and quantified from their NMR spectra. Combining with the multivariate statistical analyses including principal component analysis (PCA), linear discriminant analysis (LDA), and orthogonal partial least squared-discriminant analysis (OPLS-DA), the discrimination models were successfully established to identify the adulterated honeys from the authentic ones with an accurate rate of 97.6%. Furthermore, the corresponding volcano plot was used to screen out 8 components including proline, xylobiose, uridine, beta-glucose, melezitose, turanose, lysine and an unknown component, which are responsible for the differentiation between the authentic and adulterated honeys and will help to control Chinese domestic honey market.
KeywordHigh resolution nuclear magnetic resonance Food quality Multivariate statistical analysis Authenticity Honey
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province
DOI10.1016/j.foodres.2019.108936
WOS KeywordNUCLEAR-MAGNETIC-RESONANCE ; FRUCTOSE CORN SYRUP ; MANUKA HONEY ; RICE SYRUP ; NMR ; CLASSIFICATION ; ADULTERATION ; COMPONENTS ; ORIGIN
Language英语
Funding ProjectNational Natural Science Foundation of China[31671920] ; Natural Science Foundation of Fujian Province[2018Y0078]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Natural Science Foundation of Fujian Province
WOS Research AreaFood Science & Technology
WOS SubjectFood Science & Technology
WOS IDWOS:000521512900055
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.apm.ac.cn/handle/112942/22283
Collection中国科学院武汉物理与数学研究所
Corresponding AuthorFeng, Jianghua
Affiliation1.Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China
2.Anim Plant & Food Inspect Ctr, Nanjing Customs, Nanjing 210001, Peoples R China
3.Chinese Acad Sci, Wuhan Ctr Magnet Resonance, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, Peoples R China
Recommended Citation
GB/T 7714
He, Chenxi,Liu, Yun,Liu, Huili,et al. Compositional identification and authentication of Chinese honeys by H-1 NMR combined with multivariate analysis[J]. FOOD RESEARCH INTERNATIONAL,2020,130:9.
APA He, Chenxi,Liu, Yun,Liu, Huili,Zheng, Xin,Shen, Guiping,&Feng, Jianghua.(2020).Compositional identification and authentication of Chinese honeys by H-1 NMR combined with multivariate analysis.FOOD RESEARCH INTERNATIONAL,130,9.
MLA He, Chenxi,et al."Compositional identification and authentication of Chinese honeys by H-1 NMR combined with multivariate analysis".FOOD RESEARCH INTERNATIONAL 130(2020):9.
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