“金三角”来源海洛因样品的关联性判别及来源推断  

Correlativity Determination and Origin Deduction about Heroin Drugs from“Golden Triangle”

作　　者：段正萍 廉洁[2] 杨发震 李虹 李彬 DUAN Zhengping;LIAN Jie;YANG Fazhen;LI Hong;LI Bin(Institute of Forensic Medicine,Kunming Medical University,Kunming 650500,China;College of Investigation and Criminal Science and Technology,People’s Public Security University of China,Beijing 100038,China;Yuxi Public Security Bureau,Yuxi 653100,Yunnan,China;Key Laboratory(Ministry of Public Security)of Narcotics Assay and Control Technology,Kunming 650228,China;Beijing Zhongtianfeng Safety Technology&Protection Co.Ltd,Beijing 100044,China)

机构地区：[1]昆明医科大学法医学院,昆明650500 [2]中国人民公安大学侦查与刑事科学技术学院,北京100038 [3]玉溪市公安局,云南玉溪653100 [4]毒品分析及禁毒技术公安部重点实验室,昆明650228 [5]北京中天锋安全技术防护有限公司,北京100044

出　　处：《刑事技术》2022年第1期43-48,共6页Forensic Science and Technology

基　　金：公安部技术研究计划(2019JSYJA13)。

摘　　要：目的海洛因是最常被广泛滥用的毒品之一,具有高度成瘾性、难以戒断性和严重的社会危害性。本文建立"金三角"海洛因样品Pearson相关性数学模型,对云南6个边境州市公安机关缴获的海洛因样品进行了关联性判别及样品来源推断。方法实验将海洛因样品溶于酸性溶剂中并用有机溶剂进行萃取富集,采用超高效液相色谱-串联质谱法(UPLC-MS/MS)对海洛因样品中15种中性/酸性特征杂质进行检测分析,结合数理统计分析方法完成样品分析。结果通过计算,选定0.965为关联性阈值,并筛选出关联性极强的样品组。同时,采用主成分分析法(PCA)初步将样品划分为Ⅰ、Ⅱ、Ⅲ三个区域。结论结合案件信息、关联性分组及主成分分析结果,实现了对489份"金三角"来源海洛因样品的特征分析。Objective To establish a Pearson’s mathematical correlation model about heroin samples from“Golden Triangle”for differentiating the correlativity and deducing the original source of the heroin samples seized by the public departments of 6 border prefectures and cities in Yunnan province.Methods The seized 489 heroin samples(originated from“Golden Triangle”)were dissolved with acidic solvents and extracted through organic solvents,successively having them detected via ultra high performance liquid chromatography triple quadrupole tandem mass spectrometry(UPLC-TQ-MS/MS)under the electrospray-ionization positive ion source(ESI+)plus multi reaction monitoring(MRM)mode.15 sorts of neutral/acidic impurity were selected as target analytes of the heroin samples.With processing into the data received from peak areas of relevant samples,both Pearson’s correlation coefficient calculation and principal component analysis(PCA)were undertaken to differentiate the correlativity among the heroin samples so that the heroin samples were one another to uncover their hidden information of origin.Results On the correlation threshold defined as 0.965,the heroin samples were sorted into correlativity-linked groups under Pearson correlation coefficient handling.There were 46 groups of strong correlation,with each group containing 2-22 samples.The relative standard deviation(RSD)of all the impurity-characteristic data in each group was less than 20%,indicating the small difference present with impurity-characteristic data among the samples of strong correlation,therewith having also verified the reliability of the approach adopted here.Principal component scoring and its consecutive mapping of heroin samples further had all the heroin samples divided into 3 categories:I,II and III.Thus,Dehong-seized heroin samples were mostly distributed in category I,with those of the Lincang-seized mainly in category II.Conclusions In coalescence of case information with threshold-based correlation grouping and principal component analysis,

关 键 词：法医毒物学 海洛因 海洛因特征分析 超高效液相色谱-串联质谱 来源推断 

分 类 号：D919.1[医药卫生—法医学]