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Methods Mol Biol


Title:Rice Grain Quality Benchmarking Through Profiling of Volatiles and Metabolites in Grains Using Gas Chromatography Mass Spectrometry
Author(s):Llorente C; Jimenez R; Jackie; Brotman Y; Fernie AR; Sreenivasulu N;
Address:"International Rice Research Institute, Los Banos, Laguna, Philippines. Shimadzu (Asia Pacific) Pte. Ltd., Singapore, Singapore. Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany. Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel. Center of Plant System Biology and Biotechnology, Plovdiv, Bulgaria. International Rice Research Institute, Los Banos, Laguna, Philippines. n.sreenivasulu@irri.org"
Journal Title:Methods Mol Biol
Year:2019
Volume:1892
Issue:
Page Number:187 - 199
DOI: 10.1007/978-1-4939-8914-0_11
ISSN/ISBN:1940-6029 (Electronic) 1064-3745 (Linking)
Abstract:"Gas chromatograph coupled with mass spectrometer is widely used to profile volatiles and metabolites from the homogenized rice flour obtained from mature grains. Rice grains consist of central endosperm which stores majorly starch and, in addition, accumulate various storage proteins as storage reserves. The outer nutritious aleurone layer stores lipids, sugar alcohols, volatiles, antioxidants, vitamins, and various micronutrients. Once paddy sample is dehulled, milled, and ground cryogenically, the brown rice flour is subjected to extraction of primary metabolites and volatiles using an appropriate extraction method. In metabolite profiling of the liquid extract obtained from the rice sample, mixture is initially subjected to methoxyamination then silylation before being subjected to untargeted metabolite profiling. Peaks obtained are processed for noise reduction and specific signal selection. Volatile compounds are initially extracted using a solid phase adsorbent prior to analysis. All these compounds, metabolites, and volatiles are detected in the mass selective detector by fragmentation at 70 eV ionization energy and the resultant mass spectrum compared with a built-in library of compounds. Data mined from the gas chromatography mass spectrometry analysis are then subjected to post-processing statistical analysis"
Keywords:"Data Interpretation, Statistical Edible Grain/*chemistry/*metabolism Gas Chromatography-Mass Spectrometry *Metabolome *Metabolomics/methods Oryza/*chemistry/*metabolism Volatile Organic Compounds/*chemistry Aroma Metabolite profile analyses Metabolites Ri;"
Notes:"MedlineLlorente, Cindy Jimenez, Rosario Jackie Brotman, Yariv Fernie, Alisdair R Sreenivasulu, Nese eng Research Support, Non-U.S. Gov't 2018/11/07 Methods Mol Biol. 2019; 1892:187-199. doi: 10.1007/978-1-4939-8914-0_11"

 
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