Rice Grain Quality Benchmarking Through Profiling of Volatiles and Metabolites in Grains Using Gas Chromatography Mass Spectrometry
Autor: | Rosario Jimenez, Jackie, Yariv Brotman, Alisdair R. Fernie, Nese Sreenivasulu, Cindy Llorente |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
2. Zero hunger 0303 health sciences Chromatography Silylation Starch food and beverages Primary metabolite Mass spectrometry 01 natural sciences 03 medical and health sciences chemistry.chemical_compound chemistry Mass spectrum Brown rice Gas chromatography Gas chromatography–mass spectrometry 030304 developmental biology 010606 plant biology & botany |
Zdroj: | Rice Grain Quality: Methods and Protocols Methods in Molecular Biology Methods in Molecular Biology ISBN: 9781493989126 Methods in Molecular Biology-Rice Grain Quality Rice Grain Quality-Methods and Protocols |
ISSN: | 1064-3745 1940-6029 |
Popis: | 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. |
Databáze: | OpenAIRE |
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