Results 11 to 20 of about 227,612 (103)

Fluxome analysis using GC-MS

Microbial Cell Factories, 2007
Fluxome analysis aims at the quantitative analysis of in vivo carbon fluxes in metabolic networks, i. e. intracellular activities of enzymes and pathways.
Wittmann Christoph
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Comparison of GC/time-of-flight MS with GC/quadrupole MS for halocarbon trace gas analysis [PDF]

Atmospheric Measurement Techniques, 2015
We present the application of time-of-flight mass spectrometry (TOF MS) for the analysis of halocarbons in the atmosphere after cryogenic sample preconcentration and gas chromatographic separation.
J. Hoker, F. Obersteiner, H. Bönisch, A. Engel   +3 more
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Optimising a urinary extraction method for non-targeted GC–MS metabolomics

Scientific Reports, 2023
Urine is ideal for non-targeted metabolomics, providing valuable insights into normal and pathological cellular processes. Optimal extraction is critical since non-targeted metabolomics aims to analyse various compound classes.
Cara Olivier, Bianca Allen, Laneke Luies
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Determination of 9 halogenated alkanes in toothpaste by GC⁃MS

Shanghai yufang yixue, 2023
ObjectiveTo establish a GC-MS method for the detection of 9 halogenated alkanes in toothpastes.MethodsVarious brands of toothpastes on the market were collected as the samples. Methanol was used as the extraction solution.
PENG Qian, LIN Xi, WU Linying, XUAN Dongliang   +3 more
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Flavor volatiles evolution of Chinese horse bean-chili-paste during ripening, accessed by GC×GC-TOF/MS and GC-MS-olfactometry

International Journal of Food Properties, 2020
The evolution of volatile compounds during the ripening of Chinese horse bean-chili-paste (CHCP) was investigated in this study. GC×GC-TOF/MS allowed an identification of 748 volatiles in three CHCP samples, respectively, ripened for 3 months (M3), 12 ...
Yunhao Lu, Xinyi Tan, Yuanping Lv, Guohua Yang, Yuanlong Chi, Qiang He   +5 more
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Drying Enhances Signal Intensities for Global GC–MS Metabolomics

Metabolites, 2019
We report here that a straightforward change of the standard derivatization procedure for GC–MS metabolomics is leading to a strong increase in metabolite signal intensity.
Manuel Liebeke, Erik Puskás
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MOESM7 of Mechanistic insight in the selective delignification of wheat straw by three white-rot fungal species through quantitative 13C-IS py-GCâ MS and whole cell wall HSQC NMR

, 2018
Additional file 7: Table S3. Assignments of the lignin 13Câ 1H correlation peaks in the HSQC spectra of control and fungal-treated wheat straw. (t) Tentative assignment.
Erven, Gijs, Nayan, Nazri, Sonnenberg, Anton, Hendriks, Wouter, Cone, John, Kabel, Mirjam   +5 more
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Characterization of the key aroma compounds in a novel Qingke baijiu of Tibet by GC-MS, GC×GC-MS and GC-O-MS

Food Chemistry Advances
As a local specialty of Tibet, Qingke baijiu (QB) is made from highland barley, and is referred to as the manufacturing process of light-aroma baijiu. Using highland barley in the Qu-making and the high-temperature stacking process of sauce-aroma baijiu ...
Yahui Zhao, Pengfei Liao, Lu Chen, Yuhong Zhang, Xuliang Wang, Qiao Kang, Xi Chen, Yue Sun, Yulong Jin, Jiajun Yu, Hehe Li, Ning Zhang, Baoguo Sun, Jinyuan Sun   +13 more
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MOESM4 of Mechanistic insight in the selective delignification of wheat straw by three white-rot fungal species through quantitative 13C-IS py-GCâ MS and whole cell wall HSQC NMR

, 2018
Additional file 4: Figure S1. Residual lignin, glucuronoarabinoxylan (GAX) and glucan (cellulose) in fungal-treated wheat straw during growth (1, 3 and 7 weeks). Cs Ceriporiopsis subvermispora, Pe Pleurotus eryngii, Le Lentinula edodes. Average and standard deviation of analytical triplicates on pooled biological triplicates.
Erven, Gijs, Nayan, Nazri, Sonnenberg, Anton, Hendriks, Wouter, Cone, John, Kabel, Mirjam   +5 more
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MOESM1 of Mechanistic insight in the selective delignification of wheat straw by three white-rot fungal species through quantitative 13C-IS py-GCâ MS and whole cell wall HSQC NMR

, 2018
Additional file 1. Formulae for calculation of lignin content and relative abundance by 13C-IS py-GCâ MS.
Erven, Gijs, Nayan, Nazri, Sonnenberg, Anton, Hendriks, Wouter, Cone, John, Kabel, Mirjam   +5 more
openaire   +1 more source