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Foodomics Revealed the Effects of Extract Methods on the Composition and Nutrition of Peanut Oil.
Journal of Agricultural and Food Chemistry ( IF 6.1 ) Pub Date : 2020-01-09 , DOI: 10.1021/acs.jafc.9b06819
Fan Jiang 1 , Liyang Yuan 1 , Nanxi Shu 1 , Wuliang Wang 1 , Yuanfa Liu 1 , Yong-Jiang Xu 1
Affiliation  

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.

中文翻译:

食品组学揭示了提取方法对花生油成分和营养的影响。

加工技术对植物油的功能质量有重大影响,但到目前为止,确切的机理尚不十分清楚。这项研究的目的是研究提取方法对花生油成分和营养的影响。花生油通过冷压,热压和酶辅助水提法制备,其微量成分通过液相色谱-质谱法(LC-MS)测定。用气相色谱-质谱法(GC-MS)和LC-MS对饲喂不同提取油的Sprague-Dawley(SD)大鼠的血清和肝脏样品进行分析。成分分析表明,不同的工艺技术会导致痕量活性成分的分化。代谢组学分析表明,高脂饮食会导致血清和肝代谢紊乱,可通过热压和水解酶花生油改善,包括下调冷压花生油中的部分氨基酸,脂肪酸,磷脂和碳水化合物,以及上调酶中的棕榈酸,尿酸和嘧啶,辅助水性油。典范对应分析(CCA)发现特定代谢变化与花生油微量元素之间的强关联。这项研究中获得的数据为石油加工的作用提供了新的见解。典范对应分析(CCA)发现特定代谢变化与花生油微量元素之间的强关联。这项研究中获得的数据为石油加工的作用提供了新的见解。典范对应分析(CCA)发现特定代谢变化与花生油微量元素之间的强关联。这项研究中获得的数据为石油加工的作用提供了新的见解。
更新日期:2020-01-22
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