A ricin forensic profiling approach based on a complex set of biomarkers
A ricin forensic profiling approach based on a complex set of biomarkers
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DOI：
10.1016/j.talanta.2018.03.070
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发表时间：
2018-08-15
期刊：
影响因子：
6.1
通讯作者：
Astot, Crister
中科院分区：
文献类型：
--
作者：
Fredriksson, Sten-Ake;Wunschel, David S.;Astot, Crister
建立了一种用于追溯非法生产蓖麻毒素制剂方法的法医学方法。该方法是基于一套复杂的生物标志物，包括碳水化合物，脂肪酸，种子贮藏蛋白，结合蓖麻毒素和蓖麻凝集素的数据。对从四种蓖麻植株（R.通过四种不同的样品制备方法（PM 1 PM 4）对蓖麻品种进行分析，所述方法从蓖麻子的简单崩解到包括不同蛋白质沉淀方法的多步制备方法。通过使用一系列分析方法收集综合分析数据，并基于校准集构建稳健的正交偏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，确定了测试集样本的样本制备方法。两个模型的模型统计良好，测试集的正确预测率达到100%。
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.