4.7 Article

Selection of appropriate post-harvest processing methods based on the metabolomics analysis of Salvia miltiorrhiza Bunge

Journal

FOOD RESEARCH INTERNATIONAL
Volume 144, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.foodres.2021.110366

Keywords

Post-harvest processing; Salvia miltiorrhiza; UHPLC-QTOF-MS; Enzymatic browning; Rapid characterization; Phenolic acids; Tanshinones; Bound polyphenols

Funding

  1. Natural Science Foundation of China [81903745]
  2. Shanghai Pujiang Program [19PJ1409300]
  3. Key Project at Central Government Level: the ability establishment of sustainable use for valuable Chinese medicine resources [2060302]
  4. Shanghai RisingStar Program [18QB1402700]

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Post-harvest processing is a major cause of metabolic changes and quality loss in food products. A metabolomics approach using UHPLC-QTOF-MS was used to study metabolic changes during postharvest processing of Salvia miltiorrhiza, identifying enzymatic browning as a primary factor impacting the metabolic profile. The study also found that controlling the moisture content during slicing can effectively reduce enzymatic browning.
Post-harvest processing is a leading cause of metabolic changes and quality loss in food products. An untargeted metabolomics approach based on UHPLC-QTOF-MS was conducted to explain metabolic changes during postharvest processing of Salvia miltiorrhiza. A rapid identification method was established for comprehensive characterization of 56 phenolic acids and 45 tanshinones. Enzymatic browning was found to be the primary factor impacting the metabolic profile. A decreasing in free phenolic acids along with increasing in bound polyphenols was observed correlated with the deepening of browning degree. The various substructures of bound polyphenols were explored to interpret the composition of browning-associated products. It has also been found that the steaming process and control of the moisture content during slicing can effectively reduce the influence of enzymatic browning. This metabolomics study will contribute to select the optimal post-harvest processing methods for S. miltiorrhiza and provide information for post-harvest processing of similar products.

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