2022
DOI: 10.1021/acs.jafc.2c03481
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Development of a High-Coverage Quantitative Metabolome Analysis Method Using Four-Channel Chemical Isotope Labeling LC–MS for Analyzing High-Salt Fermented Food

Abstract: Metabolome analysis of high-salt fermented food can be an analytical challenge, as the salts can interfere with the sample processing and analysis. In this work, we describe a four-channel chemical isotope labeling (CIL) LC−MS approach for a comprehensive metabolome analysis of high-salt fermented food. The workflow includes metabolite extraction, chemical labeling of metabolites using dansyl chloride, dansylhydrazine, or p-dimethylaminophenacyl bromide reagents to enhance separation and ionization, LC-UV meas… Show more

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Cited by 10 publications
(7 citation statements)
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“…However, the performance of our assay was somewhat limited due to the lack of availability of authentic isotopically labeled phenolic standards. The use of chemo-selective labeling methods 65 could potentially increase the analytical coverage by a factor of two or more. Because cannabis is an intensely cultivated crop, it is susceptible to a wide range of bacterial, fungal, parasitic, or insect attacks.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the performance of our assay was somewhat limited due to the lack of availability of authentic isotopically labeled phenolic standards. The use of chemo-selective labeling methods 65 could potentially increase the analytical coverage by a factor of two or more. Because cannabis is an intensely cultivated crop, it is susceptible to a wide range of bacterial, fungal, parasitic, or insect attacks.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…However, the performance of our assay was somewhat limited due to the lack of availability of authentic isotopically labeled phenolic standards. The use of chemo-selective labeling methods 65 could potentially increase the analytical coverage by a factor of two or more.…”
Section: Resultsmentioning
confidence: 99%
“…107 It is then necessary to use several reagents, requiring longer and more complex sample preparation. Li et al 105 have described a four-channel chemical isotope labelling approach applied for quantitative metabolome analysis in different food products.…”
Section: Challenges and Limitations Of Quantitative Cilmentioning
confidence: 99%
“…The use of reagents possessing a characteristic group, such as bromine or quaternary amine group, can facilitate the detection of certain compounds 99–102 . Another advantage is the possibility of using other detection techniques to quantify the total amount of derivatized metabolites for normalization purposes 103–105 . Some derivatization agents, such as dansyl or phenylisothiocyanate, have unique UV absorbance or fluorescence properties amenable to normalization.…”
Section: Chemical Isotope Labellingmentioning
confidence: 99%
“…It is crucial to establish precise and fit-for-purpose analytical techniques that can implement the characterization and quantification of metabolites for a number of research areas (e.g., natural product research and food science). , At the same time, it is still confronted with challenges for the detection and analysis of the metabolites owing to the severe endogenous interference and, in most cases, the low content in a complex matrix. In recent years, liquid chromatography/mass spectrometry (LC/MS) has provided a powerful and practical method enabling the systematic characterization of known compounds, as well as the discovery of potentially new components from natural products. Nowadays, the utilization of multidimensional chromatography (MDC) greatly improves the selectivity and expands the peak capacity, , while various MS strategies are available to maximize the qualitative MS information supporting the identification of metabolites. , The utilization of various scan methods has been demonstrated as potent in the in-depth characterization and multicomponent quantitation of various metabolites from herbal extracts. , …”
Section: Introductionmentioning
confidence: 99%