干旱区生态环境知识资源中心(Arid): Analysis of differences between unifloral honeys from different botanical origins based on non-targeted metabolomics by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry

Arid

DOI	10.3724/SP.J.1123.2020.06029
	Analysis of differences between unifloral honeys from different botanical origins based on non-targeted metabolomics by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry
	Shen Shi; Yang Yi; Wang Jingbo; Chen Xi; Liu Tingting; Zhuo Qin
通讯作者	Zhuo, Q (corresponding author), Natl Hlth Commiss Peoples Republ China, Natl Inst Nutr & Hlth, Chinese Ctr Dis Control & Prevent, Key Lab Trace Element Nutr, Beijing 100050, Peoples R China.
来源期刊	CHINESE JOURNAL OF CHROMATOGRAPHY
ISSN	1000-8713
出版年	2021
卷号	39 期号:3 页码:291-300
英文摘要	Different nectar plants contain various secondary metabolites. Herein, the differences in the contents of endogenous metabolites in honeys from eight botanical origins (i. e., acacia, jujube, vitex, linden, buckwheat, manuka, wolfberry, and motherwort honeys) were investigated by a non-targeted metabolomics-based method. This method involved solid-phase extraction pretreatment and ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MSE). An oasis HLB cartridge was used for the removal of many saccharides. Chromatographic experiments were performed on an HSS T3 column (100 mmx2.1 mm, 1.8 mu m) using a mobile phase that consisted of 0.1% (v/v) formic acid in acetonitrile and water. Mass spectrometry was conducted in the positive and negative modes by electrospray ionization (ESI). Metabolic information about the honeys from different botanical origins was acquired using a multivariate statistical analysis model. Principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were conducted for pattern recognition and difference analysis. PCA was performed for 10557 and 2706 data variables in the positive and negative ion modes, respectively. The distribution of honeys from different botanical origins was investigated in 88 honey samples. The three principal components exhibited 48.05% and 57.88% of the total variance in positive and negative ion modes, respectively. The samples studied were divided into six different groups on the basis of their botanical origins and metabolic compounds: linden, vitex, buckwheat, manuka, jujube, and acacia honeys. A permutation test (n=200) was conducted to verify the fit of the model. The differential metabolites were screened on the basis of variable importance in project (VIP; >1), analysis of variance (ANOVA; p<0.05), and maximum fold change (>1.5) by using the PLS-DA model. The compounds were identified based on the data retrieved from the Chemspider and HMDB databases according to the quality information of precursor ions and fragment ions. Thirty-two differential metabolites were screened and primarily identified according to the characteristic fragmentation rules of specific structure types and data retrieval, including 18 flavonoids, 7 phenolic acids, 6 phenyl and terpenoid glycosides, and 1 steroid. Various flavonoids in buckwheat and manuka honeys, such as quercetin, sakuranetin, 7-hydroxy-2-(4-hydroxy-3,5-dimethoxyphenyl)-4H-chromen-4-one, 5,7-dihydroxy-2-(3-methoxyphenyl)-4H-chromen-4-one, luteolin-7-methyl ether, and pollenitin, were found. In buckwheat honey, the contents of 3-methoxy-2-(4-methylbenzoyl)-4H-chromen-4-one, 2-hydroxy-3,4-diphenylpentanedioic acid, 3'-methoxydihydroformononetin, phenylpyruvic acid, 2-O-p-coumaroyltartronic acid, 2-(3-hydroxy-4,5-dimethoxyphenyl)-4H-chromen-4-one, 7-hydroxy-6-methoxy-3-(4-methoxyphenyl)-4H-chromen-4-one, 4-[(2E)-3-(4-hydroxyphenyl)prop-2-en-1-yl]-3-methoxyphenol, and 7-hydroxy-5-methoxyflavan were the highest; these compounds are the characteristic metabolites of buckwheat honey. In addition, manuka honey possessed the highest contents of gnaphaliin and galangin 3-methyl ether. Moreover, linden honey contained the characteristic phenyl glycosides of (S)-multifidol 2-[apiosyl-(1 -> 6)-glucoside], 2-phenylethyl-beta-D-glucopyranoside, benzyl O-[arabinofuranosyl-(1 -> 6)-glucoside], crosatoside B, and terpenoid glycosides of isopentyl gentiobioside and 6-O-oleuropeoylsucrose. Vitex honey was found to be rich in quinic acid derivatives such as caffeoyl-3-O-feruloyl-quinic acid/1-feruloyl-5-caffeoylquinic acid, 3-O-caffeoyl-4-O-methyl-quinic acid/3-feruloylquinic acid, and 3-O-caffeoyl-1-O-methyl-quinic acid, in addition to the flavonoids of vitexin, namely, 6 ''-(3-hydroxy-3-methylglutarate) and apigenin-7-[galactosyl-(1 -> 4)-mannoside]. Moreover, ponasteroside A was a characteristic marker of jujube honey, and the contents of 6-C-fucosylluteolin and kaempferol 3-(2 ''-rhamnosylrutinoside) were the highest in acacia honey. In conclusion, the method based on non-targeted metabolomics involving UPLC-Q-TOF-MSE for different unifloral honeys was found to be fast, effective, specific, and accurate. The differences in metabolite contents and the characteristic compounds in various unifloral honeys were preliminarily illustrated. This study provides an effective analytical strategy for honey traceability and quality analysis of unifloral honey.
英文关键词	ultra-high performance liquid chromatography (UPLC) quadrupole time-of-flight mass spectrometry (Q-TOF-MS) plant metabolomics unifloral honey chemometrics traceability recognition
类型	Article
语种	中文
收录类别	ESCI
WOS记录号	WOS:000645053700009
WOS关键词	IDENTIFICATION ; MARKERS
WOS类目	Chemistry, Analytical
WOS研究方向	Chemistry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352759
作者单位	[Shen Shi; Wang Jingbo; Chen Xi; Liu Tingting; Zhuo Qin] Natl Hlth Commiss Peoples Republ China, Natl Inst Nutr & Hlth, Chinese Ctr Dis Control & Prevent, Key Lab Trace Element Nutr, Beijing 100050, Peoples R China; [Yang Yi] Beijing Ctr Dis Control & Prevent, Beijing 100013, Peoples R China
推荐引用方式 GB/T 7714	Shen Shi,Yang Yi,Wang Jingbo,et al. Analysis of differences between unifloral honeys from different botanical origins based on non-targeted metabolomics by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry[J],2021,39(3):291-300.
APA	Shen Shi,Yang Yi,Wang Jingbo,Chen Xi,Liu Tingting,&Zhuo Qin.(2021).Analysis of differences between unifloral honeys from different botanical origins based on non-targeted metabolomics by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry.CHINESE JOURNAL OF CHROMATOGRAPHY,39(3),291-300.
MLA	Shen Shi,et al."Analysis of differences between unifloral honeys from different botanical origins based on non-targeted metabolomics by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry".CHINESE JOURNAL OF CHROMATOGRAPHY 39.3(2021):291-300.