腐败生物检材中多种碱性滥用药物的检测

目的建立腐败生物检材中多种碱性滥用药物的提取、净化和仪器分析方法。方法用环己烷作为提取溶剂液-液萃取,同时采用Bond Elut Certify小柱、甲醇淋洗、二氯甲烷:异丙醇:氨水(78:20:2)洗脱固相萃取分离提取,GC/MS、GC/NPD定性定量分析各种生物检材中的滥用药物。结果从所送死者肝组织、胃组织、心血及胃内容、尿样、各检材中均同时检出吗啡、可待因、舒乐安定和异丙嗪成份,其中肝组织含量分别为吗啡0.094μg/g、可待因0.257μg/g、异丙嗪0.110μg/g,尿液含量分别为吗啡0.334μg/ml、可待因4.054μg/ml、异丙嗪0.066μg/ml,心血含量分别为吗啡0.036μg/ml、可待因0.106μg/g、异丙嗪0.088μg/ml。结论此方法准确、可靠、科学,可以用于法医毒物分析领域体内检材多种碱性药物的检测。     

Understanding markers of trust within the online stolen data market: An examination of vendors’ signaling behaviors relative to product price point

Research Summary

The current study examined 1055 stolen data products across 40 vendors on the Open and Dark Web to determine whether different product- and vendor-level behaviors predicted vendors’ trustworthiness as reflected in their product price point. Understanding the mechanisms that convey trust in the underground marketplace is crucial as it could help law enforcement target serious actors and disrupt the larger marketplace. Findings suggest the online stolen data market may resemble an uninformative cost condition where buyers are unable to accurately differentiate credible sellers due to the obscure nature of signaling behaviors.

Policy Implications

Law enforcement would benefit from designing fake shops and deceptive forum posts that transmit mixed signals to complicate market participants’ process of interpreting trust signals as intended. These interventions would generate high levels of risk that encourage both buyers and sellers to exit the online illicit marketplace without needing law enforcement arrests. Law enforcement could also target prominent market facilitators to generate a larger disruption that prevents actors from continuing their illicit behavior.