2022
DOI: 10.1016/j.foodchem.2021.131908
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Widely targeted metabolomics analysis reveals the effect of fermentation on the chemical composition of bee pollen

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Cited by 53 publications
(24 citation statements)
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“…Fortunately, widely targeted metabolomics analysis based on LC–MS/MS perfectly combines the advantages of a high resolution and wide coverage of non-target technology with the high sensitivity and accurate quantitative ability of the target multiple-reaction monitoring (MRM) mode, thus providing a more efficient method for the detection of complex metabolites. While this approach has been applied in many agricultural products, such as rice and bee pollen, it has not yet been used in asparagus to our knowledge.…”
Section: Introductionmentioning
confidence: 99%
“…Fortunately, widely targeted metabolomics analysis based on LC–MS/MS perfectly combines the advantages of a high resolution and wide coverage of non-target technology with the high sensitivity and accurate quantitative ability of the target multiple-reaction monitoring (MRM) mode, thus providing a more efficient method for the detection of complex metabolites. While this approach has been applied in many agricultural products, such as rice and bee pollen, it has not yet been used in asparagus to our knowledge.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of UPLC‐MS/MS, widely targeted metabolite analysis has been widely used for large‐scale identification and profiling of metabolites in several agricultural products (Yin et al, 2022; H. Zhang et al, 2022). In the present study, 525 metabolites were identified, including amino acids, saccharides, organic acids, and other small molecules.…”
Section: Resultsmentioning
confidence: 99%
“…In Japan, bee pollen has been imported for over 30 years and has become known as a health food. Researchers have analyzed its constituents to comprehensively map its nutritional benefits ( Costa et al, 2019 , Gonçalves et al, 2018 , Xue et al, 2012 , Zhang et al, 2022 , Zhang et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%