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Quantifying 13C-labeling in Free Sugars and Starch by GC-MS
Quantifying 13C-labeling in Free Sugars and Starch by GC-MS
International audience; We describe an approach to extract 13C-labeled sugars (glucose, fructose, maltose, sucrose, myo-inositol as well as glucose from starch) from plant tissues and to analyze their isotopomer distribution by gas chromatography–mass spectrometry (GC-MS). Sugars are derivatized with N,O-bis(trimethylsilyl) trifluoroacetamide (BSTFA) into their Si(CH3)3 derivatives. Electronic and chemical ionizations are used to obtain suitable fragments for metabolic flux analysis (MFA). Unique fragments are identified by computer simulation and experimental verification with labeled standards. Linear equations for separating information from glucosyl and fructosyl moieties of sucrose are presented. Finally, mass distributions are corrected for natural isotope abundance using a home-written program. The method is illustrated by sugar isotopomer analysis of 13C-labeled rapeseed embryos.
- The Ohio State University United States
- University of Picardie Jules Verne France
- Université Paris Diderot France
- University of Technology of Compiègne France
Microsoft Academic Graph classification: Chromatography Metabolic flux analysis Starch chemistry.chemical_compound chemistry Sucrose Maltose BSTFA Fructose Sugar Gas chromatography–mass spectrometry
Metabolic flux analysis, Isotopomers, GC-MS, 13C-labeling, Sugars, Brassica napus, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SDV]Life Sciences [q-bio], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, [SDV.BIO]Life Sciences [q-bio]/Biotechnology
Metabolic flux analysis, Isotopomers, GC-MS, 13C-labeling, Sugars, Brassica napus, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SDV]Life Sciences [q-bio], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, [SDV.BIO]Life Sciences [q-bio]/Biotechnology
Microsoft Academic Graph classification: Chromatography Metabolic flux analysis Starch chemistry.chemical_compound chemistry Sucrose Maltose BSTFA Fructose Sugar Gas chromatography–mass spectrometry
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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- The Ohio State University United States
- University of Picardie Jules Verne France
- Université Paris Diderot France
- University of Technology of Compiègne France
International audience; We describe an approach to extract 13C-labeled sugars (glucose, fructose, maltose, sucrose, myo-inositol as well as glucose from starch) from plant tissues and to analyze their isotopomer distribution by gas chromatography–mass spectrometry (GC-MS). Sugars are derivatized with N,O-bis(trimethylsilyl) trifluoroacetamide (BSTFA) into their Si(CH3)3 derivatives. Electronic and chemical ionizations are used to obtain suitable fragments for metabolic flux analysis (MFA). Unique fragments are identified by computer simulation and experimental verification with labeled standards. Linear equations for separating information from glucosyl and fructosyl moieties of sucrose are presented. Finally, mass distributions are corrected for natural isotope abundance using a home-written program. The method is illustrated by sugar isotopomer analysis of 13C-labeled rapeseed embryos.