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Metabolite Identification and Pharmacokinetic Profiling of Isoflavones from Black Soybean in Rats Using Ultrahigh-Performance Liquid Chromatography with Linear-Ion-Trap-Orbitrap and Triple-Quadrupole Tandem Mass Spectrometry

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收录情况: ◇ SCIE ◇ EI

机构: [1]The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 51000, China [2]Mathematical Engineering Academy of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou 51006, China
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关键词: black soybean isoflavones metabolites liquid chromatography-mass spectrometry

摘要:
Black soybeans are rich in isoflavones, which have several beneficial health effects. In this study, a validated method based on UHPLC-MS/MS was developed to screen black-soybean metabolites in rat urine, bile, and plasma and to quantify the compounds (daidzein, genistein, glycitein, and daidzin) and their metabolites (daidzein-4'-beta-D-glucuronide, genistein-7-beta-D-glucuronide, and genistein-4'-beta-D-glucuronide) in plasma. Thirty-seven compounds were tentatively detected in the biological samples. The method was fully validated in quantitative experiments, including in assessments of linearity (2.5-100 ng/mL for daidzein, genistein, and glycitein; 10-100 ng/mL for daidzin; 5-3125 ng/mL for genistein-7-beta-D-glucuronide; and 5-1562.5 ng/mL for daidzein-4'-beta-D-glucuronide and genistein-4'-beta-D-glucuronide), matrix effects (85-115%), recovery (80-105%), precision (<10%), and accuracy (<10%). The compounds were stable throughout sample storage, treatment, and analysis. The method was first applied to detect IFs and metabolites in rats after oral administration of black-soybean extract. These results support the potential of this method for successful application in pharmacokinetic studies.

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基金编号: No. 81373967

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出版当年[2017]版:
大类 | 1 区 农林科学
小类 | 1 区 农业综合 2 区 应用化学 2 区 食品科技
最新[2025]版:
大类 | 1 区 农林科学
小类 | 1 区 农业综合 2 区 应用化学 2 区 食品科技
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出版当年[2016]版:
Q1 CHEMISTRY, APPLIED Q1 AGRICULTURE, MULTIDISCIPLINARY Q1 FOOD SCIENCE & TECHNOLOGY
最新[2023]版:
Q1 AGRICULTURE, MULTIDISCIPLINARY Q1 CHEMISTRY, APPLIED Q1 FOOD SCIENCE & TECHNOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 51000, China [2]Mathematical Engineering Academy of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou 51006, China
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