2021
DOI: 10.1016/j.foodres.2021.110366
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Selection of appropriate post-harvest processing methods based on the metabolomics analysis of Salvia miltiorrhiza Bunge

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Cited by 12 publications
(7 citation statements)
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“…The role of metabolomics in understanding the browning of postharvest crops has gained significant momentum. It is instrumental in identifying and characterizing bioactive compounds and chemical markers that may influence the quality and shelf-life of produce (Qiu et al, 2021;Gao et al, 2022). For instance, a study on pomegranate storage identified key secondary metabolites involved in aril browning, particularly those related to the biosynthesis pathways of flavonoids, flavonols, and isoflavonoids, with a focus on phenylpropanoid biosynthesis (Shi et al, 2022).…”
Section: Metabolome and Postharvest Browning Studiesmentioning
confidence: 99%
“…The role of metabolomics in understanding the browning of postharvest crops has gained significant momentum. It is instrumental in identifying and characterizing bioactive compounds and chemical markers that may influence the quality and shelf-life of produce (Qiu et al, 2021;Gao et al, 2022). For instance, a study on pomegranate storage identified key secondary metabolites involved in aril browning, particularly those related to the biosynthesis pathways of flavonoids, flavonols, and isoflavonoids, with a focus on phenylpropanoid biosynthesis (Shi et al, 2022).…”
Section: Metabolome and Postharvest Browning Studiesmentioning
confidence: 99%
“…The content of active ingredients in Chinese medicinal materials, intermediate products and processed products may be rapidly determined by ANN and Least squares support vector machine (LS-SVM) combined with spectrophotometry or Fourier-Transform near infrared (FT-NIR). The deconvolution software may be used to qualitatively and quantitatively analyze the impurities of medicinal materials by HPLC and HPLC-Photodiode array detector (PDA) systems ( Wang et al, 2020 ; Qiu et al, 2021 ; Noroozi et al, 2022 ; Vecchietti et al, 2022 ). For some new chemical components of processed products, the influence of their chemical characteristics on performance is used to predict their effects in the patients through machine learning (ML) models to prevent drug-induced damage ( Mcloughlin et al, 2021 ).…”
Section: Applications Of Digital and Intelligent Technologies In Proc...mentioning
confidence: 99%
“…The processing demonstrated great impacts on phenolic acids than on tanshinones, and enzymatic browning was the major influencing factor during post-harvest processing. The data showed that the reduction of the enzymatic browning could be achieved by controlling the moisture and steaming process UHPLC-QTOF-MS PCA (unsupervised), PLS-DA, and OPLS-DA [126] Investigation of metabolomics and proteomics to study the change mechanism of nonvolatile compounds during white tea processing. Decreased content of catechins, proanthocyanidins, thasins, and phenolic acids and increased content of free amino acids, theaflavins, and nucleotides are responsible for the sweet taste of tea.…”
Section: Food Processingmentioning
confidence: 99%