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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >A ricin forensic profiling approach based on a complex set of biomarkers
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A ricin forensic profiling approach based on a complex set of biomarkers

机译:一种基于复杂生物标志物的蓖松原法分析方法

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摘要

A forensic method for the retrospective determination of preparation methods used for illicit ricin toxin production was developed. The method was based on a complex set of biomarkers, including carbohydrates, fatty acids, seed storage proteins, in combination with data on ricin and Ricinus communis agglutinin. The analyses were performed on samples prepared from four castor bean plant (R. communis) cultivars by four different sample preparation methods (PM1 PM4) ranging from simple disintegration of the castor beans to multi-step preparation methods including different protein precipitation methods. Comprehensive analytical data was collected by use of a range of analytical methods and robust orthogonal partial least squares-discriminant analysis- models (OPLS-DA) were constructed based on the calibration set. By the use of a decision tree and two OPLS-DA models, the sample preparation methods of test set samples were determined. The model statistics of the two models were good and a 100% rate of correct predictions of the test set was achieved.
机译:开发了一种用于回顾用于非法蓖麻毒素生产的制备方法的法医方法。该方法基于复杂的生物标志物,包括碳水化合物,脂肪酸,种子储存蛋白,与Ricin和Ricinus Communis alglutinin的数据组合。通过四种不同的样品制备方法(PM1 PM4)从四种蓖麻油植物(R.Communis)品种制备的样品进行分析,从蓖麻豆的简单崩解到包括不同蛋白质沉淀方法的多步制剂方法。通过使用一系列分析方法收集综合分析数据,并基于校准组构建稳健的正交部分最小二乘判别分析模型(OPLS-DA)。通过使用决策树和两个OPLS-DA模型,确定了试验样品的样品制备方法。两种型号的模型统计数据良好,实现了100%的测试集的正确预测速率。

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