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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Quantitative and Fingerprint Analyses of Chinese Sweet Tea Plant (Rubus suavissimus S. Lee)
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Quantitative and Fingerprint Analyses of Chinese Sweet Tea Plant (Rubus suavissimus S. Lee)

机译:中国甜茶树(黑莓香李)的定量和违规分析

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The quality of botanical food is increasingly assessed by the content of multiple bioactive compounds. This study reports, for the first time, an HPLC fingerprinting method for the quality evaluation of Rubus suavissimus leaves possessing multiple bioactivities. Five constituents, gallic acid, rutin, ellagic acid, rubusoside, and steviol monoside, were quantified and used in developing qualitative chromatographic fingerprints. The limits of detection and quantification ranged from 0.29 to 37.86 μg/mL. The relative standard deviations (RSDs) of intra- and interday precisions were no more than 3.14 and 3.01%, respectively. The average recoveries were between 93.1 and 97.5%. The developed method was validated in the analysis 14 leaf samples with satisfactory results. The contents of the five marker compounds accounted for an average of about 6% w/w with a variability of 16% among the 14 samples collected from a single site and year. Gallic acid was the least, whereas steviol monoside the most, variable compound among the 14 leaf samples. The characteristic compound rubusoside that is responsible for the sweet taste accounted for 5% of leaf weight. The validated method can now be used to quantitatively and qualitatively assess the quality of R. suavissimus leaves as traditional beverage or potential medicines.
机译:植物食品的质量越来越受到多种生物活性化合物含量的评估。这项研究首次报道了一种具有多种生物活性的高效液相色谱指纹图谱方法,用于评价鲁氏悬钩子叶片的质量。对五种成分没食子酸,芦丁,鞣花酸,红果糖苷和甜菊醇单糖进行了定量,并用于开发定性色谱指纹图谱。检出限和定量限为0.29至37.86μg/ mL。日内和日间精度的相对标准偏差(RSD)分别不超过3.14%和3.01%。平均回收率在93.1%至97.5%之间。所开发的方法在分析14个叶片样品中得到验证,结果令人满意。五个标记化合物的含量平均约为6%w / w,从单个地点和年份收集的14个样品中的变异性为16%。在14个叶片样品中,没食子酸最少,而甜菊醇单侧化合物最多,可变化合物。引起甜味的特征性化合物红景天苷占叶重的5%。经过验证的方法现在可用于定量和定性评估作为传统饮料或潜在药物的苏芸香叶片的质量。

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