首页|期刊导航|法庭科学研究（英文）|Validation studies of the ParaDNA® Intelligence System with artificial evidence items
法庭科学研究（英文）2021，Vol.6Issue(1)：84-91,8.
Validation studies of the ParaDNA® Intelligence System with artificial evidence items
Validation studies of the ParaDNA? Intelligence System with artificial evidence items
摘要
Abstract
Short tandem repeat (STR) profiling is one of the mostly used systems for forensic applica-tions. In certain circumstances, STR profiling is time-consuming and costly, which potentially leads to delays in criminal investigations. LGC (Laboratory of the Government Chemist, UK) Forensics has developed a robust STR profiling platform called the ParaDNA?R Intelligence Test System which can provide early tactical intelligence and aid investigators in making informed decisions on sample prioritization for detection. Here, we validated the ParaDNA intelligence test for its application in forensic cases using a range of mock evidence items following guidelines set by the Scientific Working Group on DNA Analysis Methods (SWGDAM). Specifically, we tested the sensitivity and accuracy of the ParaDNA intelligence test, as well as the success rates for detecting mock samples and for use in case scenarios. Our findings demonstrate that the ParaDNA intelligence test generates useful DNA profiles, especially for samples such as blood, saliva, and semen that contain ample DNA, indicating the benefits of including ParaDNA as a prior step in forensic STR profiling pipelines.关键词
Forensic sciences/forensic genetics/ParaDna® Test Intelligence system/rapid Dna/melt curve analysis/hyBeaconTM probesKey words
Forensic sciences/forensic genetics/ParaDna® Test Intelligence system/rapid Dna/melt curve analysis/hyBeaconTM probes引用本文复制引用
Min Li,Chengtao Li,Ruiyang Tao,Wei Zhou,Yanan Li,Meng Meng,Yilun Zhang,Linsheng Yu,Liqin Chen,Yingnan Bian..Validation studies of the ParaDNA® Intelligence System with artificial evidence items[J].法庭科学研究（英文）,2021,6(1):84-91,8.基金项目
This study was supported by grants from National Key R&D Program of China[grant number 2016YFC0800703],the National Natural Science Foundation of China[grant number 81601651 and 81625013],the Ministry of Finance of China[grant number GY2016D1,GY2018G-9,KF1813],and the Shanghai Science and Technology Innovation Fund[grant number 16DZ1205500,16DZ2290900,17DZ2273200],and the funders had no role in study design,data analysis,decision to publish,or preparation of the manuscript. （）
