作者: Justin Bueno , Lenka Halámková , Alexander Rzhevskii , Igor K. Lednev
DOI: 10.1007/S00216-018-1359-1
关键词:
摘要: Our research group previously reported a novel method for the detection of gunshot residue (GSR) via tape lifting combined with Raman microspectroscopic mapping and multivariate analysis. This initial study achieved proof concept this approach. Here, we report validation studies which investigate reproducibility/ruggedness specificity GSR on adhesive was performed an independent microscope, not used to generate training set. These spectra were classified against original dataset using support vector machine discriminant analysis (SVM-DA). The resulting classification rates 100% illustrate reproducibility technique, its independence upon specific instrument provide external Additionally, same procedure collection (tape lifting) collect samples from environmental sources, could potentially false-positive assignments current techniques. Thus, particles associated automotive mechanics collected. Automotive brake tire materials are often composed heavy metals lead, barium, antimony, key elements targeted by technique. It determined that spectroscopic susceptible misclassifications these samples. Results experiments great potential as viable complimentary tool methodologies detection. Furthermore, well-developed automated organic Illustrated here, microscoptrosocpic has automatic identification GSR.