首页> 美国卫生研究院文献>Frontiers in Pharmacology >Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
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Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite

机译:有毒成分指数:一种毒性校准的定量评估方法用于精确地预测高毒性植物药-附子的毒性

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摘要

Complex chemical composition is an important reason for restricting herbal quality evaluation. Despite the multi-components determination method significantly promoted the progress of herbal quality evaluation, however, which mainly concerned the total amount of multiple components and ignored the activity variation between each one, and did not accurately reflect the biological activity of botanical medicines. In this manuscript, we proposed a toxicity calibrated contents determination method for hyper toxic aconite, called toxic constituents index (TCI). Initially, we determined the minimum lethal dose value of mesaconitine (MA), aconitine (AC), and hypaconitine (HA), and established the equation TCI = 100 × (0.3387 ×XMA + 0.4778 ×XAC + 0.1835 ×XHA). Then, 10 batches of aconite were selected and their evaluation results of toxic potency (TP), diester diterpenoid alkaloids (DDAs), and TCI were compared. Linear regression analysis result suggested that the relevance between TCI and TP was the highest and the correlation coefficient R was 0.954. Prediction error values study also indicated that the evaluation results of TCI was highly consistent with that of TP. Moreover, TCI and DDAs were both applied to evaluate 14 batches of aconite samples oriented different origins; from the different evaluation results, we found when the proportion of HA was reached 25% in DDAs, the pharmacopeia method could generate false positive results. All these results testified the accuracy and universality of TCI method. We believe that this study method is rather accurate, simple, and easy operation and it will be of great utility in studies of other foods and herbs.
机译:复杂的化学成分是限制草药质量评估的重要原因。尽管多组分测定方法显着促进了草药质量评估的进展,但是,该方法主要关注多组分的总量,而忽略了每一种之间的活性变化,并不能准确反映植物药的生物活性。在本文中,我们提出了一种针对剧毒乌头的毒性校准含量测定方法,称为毒性成分指数(TCI)。最初,我们确定了中康尼汀(MA),乌头碱(AC)和hypaconitine(HA)的最小致死剂量值,并建立了方程TCI = 100×(0.3387×XMA + 0.4778×XAC + 0.1835×XHA)。然后,选择了10批附子,并比较了其毒力(TP),二酯二萜生物碱(DDAs)和TCI的评估结果。线性回归分析结果表明,TCI与TP之间的相关性最高,相关系数R为0.954。预测误差值研究还表明,TCI的评估结果与TP的评估结果高度一致。此外,TCI和DDAs均用于评估14批不同来源的附子样品。从不同的评估结果中,我们发现当DDA中的HA比例达到25%时,药典方法可能会产生假阳性结果。所有这些结果证明了TCI方法的准确性和通用性。我们相信这种研究方法是相当准确,简单和容易操作的,它将在其他食品和草药的研究中具有很大的实用性。

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