基于spss数据处理的PE手套检测分析

Detection and Analysis of PE Gloves Based on SPSS Data Processing

塑料作为法庭科学中常见的物证之一,其检验具有研究的必要性。塑料类物证中一次性塑料手套可作为犯罪工具使用。一次性塑料手套的主要材质为聚乙烯,常见填料为碳酸钙、二氧化硅等。利用拉曼光谱结合数据降维处理的分析方法,实现对不同品牌不同来源的塑料手套快速无损鉴别。将数据处理方法和光谱学分析方法相结合,实现对光谱数据的多维度分析,保留有效数据,指定提取4个因子,为犯罪现场检验此类物证、追踪犯罪人员提供参考和借鉴。

Plastic is one of common evidences in forensic science. It is necessary to test the plastic evidences. Disposable plastic gloves in plastic evidence can be used as crime tools. The main material of disposable plastic gloves is polyethylene, and common fillers are calcium carbonate, silica, etc. By using the analysis method of Raman spectrum and data dimension reduction processing, the plastic gloves of different brands and different sources can be identified quickly and nondestructively. By combining the data processing method and the spectroscopy analysis method, the multi-dimensional analysis of the spectral data can be realized, the effective data is retained, and four factors are specified to be extracted, which can provide reference to test such physical evidence and track the criminals in the crime scene.