Search results for "non-targeted metabolomics"

showing 2 items of 2 documents

The Combined Effects of Ethylene and MeJA on Metabolic Profiling of Phenolic Compounds in Catharanthus roseus Revealed by Metabolomics Analysis

2016

Phenolic compounds belong to a class of secondary metabolites and are implicated in a wide range of responsive mechanisms in plants triggered by both biotic and abiotic elicitors. In this study, we approached the combinational effects of ethylene and MeJA (methyl jasmonate) on phenolic compounds profiles and gene expressions in the medicinal plant Catharanthus roseus. In virtue of a widely non-targeted metabolomics method, we identified a total of 34 kinds of phenolic compounds in the leaves, composed by 7 C6C1-, 11 C6C3-, and 16 C6C3C6 compounds. In addition, 7 kinds of intermediates critical for the biosynthesis of phenolic compounds and alkaloids were identified and discussed with phenol…

0106 biological sciences0301 basic medicineEthylenePhysiologyMetabolitePlant Sciencephenolic compoundsBiology01 natural sciencesCinnamic acid03 medical and health scienceschemistry.chemical_compoundMetabolomicsmethy jasmonatePhysiology (medical)ethyleneOriginal ResearchMethyl jasmonateCatharanthus roseusJasmonic acidCatharanthus roseusbiology.organism_classification030104 developmental biologychemistryBiochemistrynon-targeted metabolomicsSalicylic acid010606 plant biology & botanyFrontiers in Physiology
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High precision mass measurements for wine metabolomics

2014

An overview of the critical steps for the non-targeted Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS) analysis of wine chemistry is given, ranging from the study design, data preprocessing and statistical analyses, to markers identification. UPLC-Q-ToF-MS data was enhanced by the alignment of exact mass data from FTICR-MS, and marker peaks were identified using UPLC-Q-ToF-MS(2). In combination with multivariate statistical tools and the annotation of peaks with metabolites from relevant databases, this analytical process provides a fine description of the chemical complexity of wines, as exemplified in the case of red (P…

Winemultivariate data analysisFTICR-MSUPLC-Q-ToF-MSGeneral Chemistrycomputer.software_genreMass spectrometryMasslcsh:ChemistryMetabolomicslcsh:QD1-999non-targeted metabolomicsNon targeted metabolomicsStatistical analysesMS/MSFticr-ms ; Ms/ms ; Uplc-q-tof-ms ; Multivariate Data Analysis ; Non-targeted Metabolomics ; WineWine chemistryData miningOriginal Research ArticleMultivariate statisticalwineBiological systemcomputerMathematicsNutritionFrontiers in Chemistry
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