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Molecules

Title:		An Optimized SPME-GC-MS Method for Volatile Metabolite Profiling of Different Alfalfa (Medicago sativa L.) Tissues
Author(s):		Yang DS; Lei Z; Bedair M; Sumner LW;
Address:		"The Samuel Roberts Noble Foundation, 2510 Sam Noble Parkway, Ardmore, OK 73401, USA. Metabolomics Center, Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA. Bayer CropScience, 700 Chesterfield Parkway, West Chesterfield, MO 63017, USA"
Journal Title:		Molecules
Year:		2021
Volume:		20211027
Issue:		21
Page Number:		-
DOI:		10.3390/molecules26216473
ISSN/ISBN:		1420-3049 (Electronic) 1420-3049 (Linking)
Abstract:		"Solid-phase microextraction (SPME) was coupled to gas chromatography mass spectrometry (GC-MS) and a method optimized to quantitatively and qualitatively measure a large array of volatile metabolites in alfalfa glandular trichomes isolated from stems, trichome-free stems, and leaves as part of a non-targeted metabolomics approach. Major SPME extraction parameters optimized included SPME fiber composition, extraction temperature, and extraction time. The optimized SPME method provided the most chemically diverse coverage of alfalfa volatile and semi-volatile metabolites using a DVB/CAR/PDMS fiber, extraction temperature of 60 degrees C, and an extraction time of 20 min. Alfalfa SPME-GC-MS profiles were processed using automated peak deconvolution and identification (AMDIS) and quantitative data extraction software (MET-IDEA). A total of 87 trichome, 59 stem, and 99 leaf volatile metabolites were detected after background subtraction which removed contaminants present in ambient air and associated with the fibers and NaOH/EDTA buffer solution containing CaCl(2). Thirty-seven volatile metabolites were detected in all samples, while 15 volatile metabolites were uniquely detected only in glandular trichomes, 9 only in stems, and 33 specifically in leaves as tissue specific volatile metabolites. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) of glandular trichomes, stems, and leaves showed that the volatile metabolic profiles obtained from the optimized SPME-GC-MS method clearly differentiated the three tissues (glandular trichomes, stems, and leaves), and the biochemical basis for this differentiation is discussed. Although optimized using plant tissues, the method can be applied to other types of samples including fruits and other foods"
Keywords:		Computational Biology/methods Data Analysis *Gas Chromatography-Mass Spectrometry/methods Medicago sativa/*chemistry *Metabolome *Metabolomics/methods Principal Component Analysis *Solid Phase Microextraction/methods Temperature Volatile Organic Compounds;
Notes:		"MedlineYang, Dong-Sik Lei, Zhentian Bedair, Mohamed Sumner, Lloyd W eng 0605033/National Science Foundation/ Switzerland 2021/11/14 Molecules. 2021 Oct 27; 26(21):6473. doi: 10.3390/molecules26216473"