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Molecules

Title:		Characterization of Cultivar Differences of Blueberry Wines Using GC-QTOF-MS and Metabolic Profiling Methods
Author(s):		Yuan F; Cheng K; Gao J; Pan S;
Address:		"College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China. fyuan@mail.hzau.edu.cn. Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, Wuhan 430070, China. fyuan@mail.hzau.edu.cn. College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China. kecheng1234@outlook.com. College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China. jihuigao@outlook.com. College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China. pansiyi@mail.hzau.edu.cn. Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, Wuhan 430070, China. pansiyi@mail.hzau.edu.cn"
Journal Title:		Molecules
Year:		2018
Volume:		20180917
Issue:		9
Page Number:		-
DOI:		10.3390/molecules23092376
ISSN/ISBN:		1420-3049 (Electronic) 1420-3049 (Linking)
Abstract:		"A non-targeted volatile metabolomic approach based on the gas chromatography-quadrupole time of fight-mass spectrometry (GC-QTOF-MS) coupled with two different sample extraction techniques (solid phase extraction and solid phase microextraction) was developed. Combined mass spectra of blueberry wine samples, which originated from two different cultivars, were subjected to orthogonal partial least squares-discriminant analysis (OPLS-DA). Principal component analysis (PCA) reveals an excellent separation and OPLS-DA highlight metabolic features responsible for the separation. Metabolic features responsible for the observed separation were tentatively assigned to phenylethyl alcohol, cinnamyl alcohol, benzenepropanol, 3-hydroxy-benzenethanol, methyl eugenol, methyl isoeugenol, (E)-asarone, (Z)-asarone, and terpenes. Several of the selected markers enabled a distinction in secondary metabolism to be drawn between two blueberry cultivars. It highlights the metabolomic approaches to find out the influence of blueberry cultivar on a volatile composition in a complex blueberry wine matrix. The distinction in secondary metabolism indicated a possible O-methyltransferases activity difference among the two cultivars"
Keywords:		Biomarkers/analysis Blueberry Plants/*chemistry Discriminant Analysis Fruit/chemistry Gas Chromatography-Mass Spectrometry/*methods Least-Squares Analysis Metabolome Metabolomics/*methods Molecular Sequence Annotation Principal Component Analysis Solid Ph;
Notes:		"MedlineYuan, Fang Cheng, Ke Gao, Jihui Pan, Siyi eng 31701561/National Natural Science Foundation of China/ 2662016QD033/Fundamental Research Funds for the Central Universities/ Switzerland 2018/09/20 Molecules. 2018 Sep 17; 23(9):2376. doi: 10.3390/molecules23092376"