4.7 Article

Foodomics Revealed the Effects of Extract Methods on the Composition and Nutrition of Peanut Oil

Journal

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 68, Issue 4, Pages 1147-1156

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.9b06819

Keywords

foodomics; peanut oil; processing method; metabolomic

Funding

  1. National Key Research and Development Program of China [2017YFD0400200]
  2. Taishan industry leading talents innovation project in Shandong Province [LJNY2015007]

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Processing technology has a significant effect on the functional quality of vegetable oil, but the exact mechanism is not yet very well known so far. The purpose of this study was to investigate the effects of extract methods on the composition and nutrition of peanut oil. Peanut oil was prepared by cold pressing, hot pressing, and enzyme-assisted aqueous extraction, and their trace components were determined by liquid chromatography-mass spectrometry (LC-MS). Serum and liver samples from Sprague-Dawley (SD) rats fed with different extract oils were profiled by gas chromatography-mass spectrometry (GC-MS) and LC-MS. The component analysis showed that different process technologies cause differentiation of trace active ingredients. Metabolomics analysis revealed that a high-fat diet causes serum and hepatic metabolic disorders, which can be ameliorated by hot-pressed and hydroenzymatic peanut oil, including downregulation of partial amino acids, fatty acids, phospholipids, and carbohydrates in cold-pressed peanut oil as well as the upregulation of palmitic acid, uric acid, and pyrimidine in enzyme-assisted aqueous oils. Canonical correspondence analysis (CCA) uncovered strong associations between specific metabolic alterations and peanut oil trace components. The data obtained in this study offers a new insight on the roles of oil processing.

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