应用SEM/EDX和ICP-AES检测元素成份判定致伤工具

目的应用扫描电镜/能谱联合分析仪(Scanning electron microscopy & Energy dispersive X-ray apparatus SEM/EDX)和电感耦合原子发射等离子光谱(inductively coupled plasma-atom emission spectrometer ICP-AES)对金属致伤工具本身及所致创口残留物元素成分分析,探讨两者在推断认定此类工具的应用条件及价值.方法镀层和普通铁质工具在乳猪皮肤各致创5例,SEM/EDX对创口内遗留金属颗粒元素检测;用标准样品检测实验方法的精确度;普通铁质工具于刀背、刀刃处各取5个样本,ICP-AES测定元素成分与含量.结果镀锌工具所致创口中存在单一含有锌的金属颗粒,镀黄铜工具则同时含有锌和铜,未发现其它元素;不锈钢或普通铁质菜刀创口中,发现同时含有铁、铬、硅或铁、锰、硅的颗粒;除5号菜刀外同一把铁质菜刀在刀刃、刀背处元素含量无明显差别;ICP-AES分析表明不锈钢菜刀之间在铬、锰、硅、铜、钼和5号刀背部以及其他铁质菜刀在锰、硅元素含量差别具有显著意义,5号刀刃部锰、硅、钼、钛、磷、硫、镍元素RSD明显升高.结论SEM/EDX可以通过创口的检测对金属致伤工具进行种类的推断认定,ICP-AES则可在同种类致伤工具中进行相对同一的判定有应用价值.     

Discrimination of transparent polyethylene films based on identification of inorganic antiblocking agents

Several nondestructive and semidestructive analyses were used to discriminate colorless transparent polyethylene bags. Transparent plastic bags made from low-density and linear low-density polyethylene usually contain antiblocking agents to prevent sticking of the film, which makes it difficult to open the mouths of plastic bags. Inorganic antiblocking agents are uniformly dispersed in polyethylene films, so they are easily observed using optical microscopy. The particle size distributions of the antiblocking agents were compared by statistical tests. Particle composition was examined by elemental analysis using energy-dispersive X-ray spectrometry with a scanning electron microscope and by molecular vibration analysis using a sensitive microscopic Raman spectrometer. The compositions could be determined nondestructively on the basis of the results. These data reinforce the morphological discrimination. Morphological discrimination of the dispersed antiblocking agent powders, statistical comparison of particle size distributions, and compositional analysis of the antiblocking agents strengthen the ability to discriminate polyethylene films.     

Scanning Electron Microscopy–Energy‐Dispersive X‐Ray (SEM/EDX): A Rapid Diagnostic Tool to Aid the Identification of Burnt Bone and Contested Cremains

This study investigates the use of Scanning electron microscopy–energy‐dispersive X‐ray (SEM‐EDX) as a diagnostic tool for the determination of the osseous origin of samples subjected to different temperatures. Sheep (Ovis aries) ribs of two experimental groups (fleshed and defleshed) were burned at temperatures of between 100°C and 1100°C in 100°C increments and subsequently analyzed with the SEM‐EDX to determine the atomic percentage of present elements. Three‐factor ANOVA analysis showed that neither the exposure temperature, nor whether the burning occurred with or without soft tissue present had any significant influence on the bone's overall elemental makeup (p > 0.05). The Ca/P ratio remained in the osseous typical range of between 1.6 and 2.58 in all analyzed samples. This demonstrates that even faced with high temperatures, the overall gross elemental content and atomic percentage of elements in bone remain stable, creating a unique “fingerprint” for osseous material, even after exposure to extreme conditions.     

Classification Improvements in Automated Gunshot Residue (GSR) Scans

Classification of particles as gunshot residues (GSRs) is conducted using a semiautomatic approach in which the system first classifies particles based on an automatic elemental analysis, and then, examiners manually analyze particles having compositions which are characteristic of or consistent with GSRs. Analyzing all the particles in the second stage is time consuming with many particles classified by the initial automated system as being potentially GSRs excluded as such by the forensic examiner. In this paper, a new algorithm is developed to improve the initial classification step. The algorithm is based on a binary tree that was trained on almost 16,000 particles from 43 stubs used to sample hands of suspects. The classification algorithm was tested on 5,900 particles from 23 independent stubs and performed very well in terms of false positive and false negative rates. A routine use of the new algorithm can reduce significantly the analysis time of GSRs.     

骨砍创金属颗粒的检测

目的 应用扫描电镜/X射线能谱仪(SEM/EDX)对菜刀砍击骨质后遗留在创面上的金属微粒进行检测.方法 3种不同材质菜刀各取5把,对猪大腿骨进行砍击,使用SEM/EDX对骨创面上附着的金属颗粒元素以及菜刀自身所含元素进行定性及定量检验,并对结果进行比对分析.结果 菜刀样本同型号之间元素重量百分比相比较,结果无统计学差异(P＞0.05);创面附着金属颗粒与菜刀自身所含元素种类特征相同;其所占重量的百分比一致(P＞0.05);结论 骨骼创面遗留金属颗粒的元素种类及其百分比含量,可以作为区分菜刀类致伤工具的重要依据.     

EDX、XRD法定性分析混合火药的主要成分

目的建立检验自制混合火药方法。方法用扫描电镜、X射线衍射仪,测定自制混合火药的主要成分,结果准确可靠。结果既可测定火药成分,还可区分石墨晶片和植物性炭。结论两种方法可用于火药鉴定。     

涉爆案件中烟火剂的检验

目的　建立涉爆案件中烟火剂的快速、准确的检验方法。方法　以扫描电镜 /能谱仪分析为主 ,红外光谱分析为辅 ,对爆炸装置尤其爆炸残留物中的烟火剂进行形态和成分分析。结果　对烟火剂原体的检验快速、准确 ,通过比对分析可确定烟火剂的来源 ,对爆炸残留物中的烟火剂进行准确定性。结论　该方法对各种检材中的烟火剂检验稳定性好、准确率高 ,且操作简便 ,具有很强的实用性     

Classification of Glass Fragments Based on Elemental Composition and Refractive Index*

Abstract: The aim of this study was to assess the efficiency of likelihood ratio (LR)‐based measures when they are applied to solving various classification problems for glass objects which are described by elemental composition, and refractive index (RI) values, and compare LR‐based methods to other classification methods such as support vector machines (SVM) and naïve Bayes classifiers (NBC). One hundred and fifty‐three glass objects (23 building windows, 25 bulbs, 32 car windows, 57 containers, and 16 headlamps) were analyzed by scanning electron microscopy coupled with an energy dispersive X‐ray spectrometer. Refractive indices for building and car windows were measured before (RI_b), and after (RI_a) an annealing process. The proposed scheme for glass fragment(s) classification demonstrates some efficiency, although the classification of car windows (c) and building windows (w) must be treated carefully. This is because of their very similar elemental content. However, a combination of elemental content and information on the change in RI during annealing (ΔRI = RI_a?RI_b) gave very promising results. A LR model for the classification of glass fragments into use‐type categories for forensic purposes gives slightly higher misclassification rates than SVM and NBC. However, the observed differences between results obtained by all three approaches were very similar, especially when applied to the car window and building window classification problem. Therefore, the LR model can be recommended because of the ease of interpretation of LR‐based measures of certainty.     

根据创口射击残留物推断“5.4”式手枪射击距离的研究

目的利用环境控制扫描电镜/能谱仪（SEM/EDX）研究枪弹创射入口周围射击残留物与射击距离的关系,探讨其能否用于射击距离的判断。方法采用＂＂5.4＂＂式手枪分别在5、10、15、20、30、40、50、60、70、80、90、120cm处射击乳猪皮肤,利用SEM/EDX观察创口周围GSR的分布和成分,并建立回归方程。结果射击距离和GSR颗粒数量之间总体表现为直线关系,并建立了相应的回归方程。当射击距离为10~90cm时,用该方程推断射击距离效果较好。结论检测创口周围GSR可望用于判断“5.4”式手枪的射击距离。     

冒充“冰毒”物-明矾的检验

目的建立明矾的检验方法。方法综合运用傅立叶红外光谱仪(FTIR)、扫描电镜/能谱仪(SEM/EDX)、气质联用仪(GC/MS)、化学法分析等方法。结果排除了常见毒品,确认无色晶体为明矾。结论用本文方法准确检验出不明白色晶体为明矾。