4.7 Article

Inhibitory effects of Portulaca oleracea L. and selected flavonoid ingredients on heterocyclic amines in roast beef patties and Density Function Theory calculation of binding between heterocyclic amines intermediates and flavonoids

期刊

FOOD CHEMISTRY
卷 336, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.127551

关键词

Heterocyclic amines; Portulaca oleracea L.; Beef patties; Flavonoids; Norharman; UPLC-MS/MS; Density Function Theory

资金

  1. National Key R&D Program of China [2018YFD0401203]
  2. Key Laboratory of Traditional Chinese Medicine Quality and Standard [ZYZL18-005]
  3. Key R&D Program of Guangdong Province [2019B020212001]
  4. Shanxi Key Research and Development Program [2019NY-147]

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The study found that Portulaca oleracea L. and its flavonoid ingredients can significantly reduce the formation of HAs in roast beef patties. Main flavonoid ingredients such as rutin, hesperidin, and flavanone also exhibit inhibitory effects. Density Function Theory methods were utilized to investigate the inhibitory mechanism of these ingredients bonding with intermediates to block the formation of norharman.
The inhibitory effects of Portulaca oleracea L. (PO) and its flavonoid ingredients on the formation of heterocyclic amines (HAs) in roast beef patties were investigated. Ten HAs were found in control patties, and the total content was 212.73 +/- 7.13 ng/g. With the addition of PO (1%, 5%, and 10%, w/w), HAs decreased by 62.39%, 68.03%, and 73.75%, respectively. The main flavonoid ingredients (rutin, hesperidin, and flavanone) also present a similar inhibitory effect. The Density Function Theory (DFT) methods were adopted to investigate the inhibitory mechanism. These ingredients bonded with the intermediate to block the formation of norharman. Both experimental and calculated data of the ingredients were analyzed on their HAs inhibitory capacity. Our results provide a novel and valuable strategy to reduce HAs via a low additive level of medicinal and edible plants. And the correlation between experimental and calculated data could be applied to predict the inhibitory ability of inhibitors.

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