不同产地药材牛膝的红外光谱及红外导数光谱鉴别研究

目的 建立不同产地牛膝的红外光谱和红外导数光谱并对其差异性进行分析,为牛膝药材的快速鉴别提供依据.方法 运用傅里叶红外光谱技术结合二阶导数光谱对不同产地的牛膝药材进行鉴别,采用聚类分析和主成分分析对红外光谱数据进行统计分析.结果 牛膝的红外吸收峰主要在3289、2975、2890、1723、1630、1403、1321、1241、1018、927、814、773 cm-1附近,虽然不同产地牛膝所含化学成分具有相似性,但不同产地牛膝红外吸收峰的位置和相对强度存在一定差异;并且在二阶导数红外图谱的1800～800 cm-1波段中有更加明显差别,可以为其鉴别提供更准确的依据.聚类分析显示不同批次间相似度很高,主成分分析结果表明在1723、1630、927、814、651 cm-1等处的吸收峰对区分不同产地牛膝药材的贡献较大,内蒙古自治区赤峰市和河南省焦作市武陟县的牛膝药材综合评分较高.结论 红外光谱法与二阶导数光谱相结合不仅可以提供中药材所含化学成分的相关信息,还可以对其不同产地进行区分,实现对牛膝的快速鉴别.     

Estimating postmortem interval for human cadavers in a sub‐tropical climate using UV‐Vis‐near‐infrared Spectroscopy

Estimating postmortem interval (PMI) of surface found skeletal remains is challenging. This novel study used UV‐Vis‐NIR spectroscopy to scan soil collected from cadaver decomposition islands (CDIs) ranging from 15‐ to 963‐d postmortem and control soils. A decomposition product spectra model (DPS model) was constructed by deducting the control soil spectra from the CDI soil spectra for the estimation of postmortem indices: PMI (d), ADD₄, ADD₁₀, and ADD₂₀. The DPS model (n = 55) was calibrated and subjected to a full cross‐validation. Calibration R² and RPD for the DPS model ranged from 0.97 to 0.99 and from 6.1 to 9.9, respectively, for the four postmortem interval indices. Validation R² and RPD for the DPS model ranged from 0.73 to 0.80 and from 1.9 to 2.2, respectively. The DPS model estimated postmortem intervals for three test CDIs in a clay soil under perennial grassland (test set 1; n = 3) and six CDIs in a sandy soil under a loblolly pine forest (test set 2; n = 6). Test set 1 had PMI prediction ranges from ?69 to ?117 days, ?796 to +832 ADD₄, +552 to +2672 ADD₁₀, and ?478 to ?20 ADD₂₀ of observed PMI. Test set 2 PMI prediction ranged from ?198 to ?65 days, ?9923 to +2629 ADD₄, ?6724 to +1321 ADD₁₀, and ?2850 to +540 ADD₂₀ of observed PMI. Test set 2 had poor predictions for two CDIs, for all measures of postmortem indices resulting in discussion of sampling depth, effect of body mass index (BMI), and scavenging.     

Classification algorithm using halftone features of counterfeit bills and CNN

With recent advancements in image processing and printing technology, home printers have improved in performance and grown more widespread. As such, they have been increasingly used in counterfeiting and forgery. Most counterfeit bills in Korea have been created using home scanners and printers. The identification of printer model is thus necessary to rapidly track down criminals and solve crimes. Household printers can be largely divided into inkjet and laser printers. These two types of printers print halftone textures instead of continuous images. This study proposed a technique of printer classification based on halftone textures that can be observed in printed documents. Since halftone textures are expressed as periodic lattices, the images were transformed via FFT, which is highly effective at expressing periodicity. ResNet, known for its superior gradient flow, was used for training. The experiment was conducted on 12 color laser jets and 2 inkjets. Scans of bills printed by each printer were used, and halftone texture analysis was performed on these images for printer model classification. Each image was cropped into several parts; one of the cropped parts was analyzed. The analysis showed that laser printers could be 100% distinguished from inkjet printers. An accuracy of 98.44% was achieved in make classification. When 50 cropped images were used instead of a single image, the technique achieved 100% accuracy in model classification. The proposed technique is non-destructive; it offers high accessibility and efficiency as it can be performed using a scanner alone, without requiring additional optical equipment.     

Clarifying the complex chemistry of cobalt(II) thiocyanate-based tests for cocaine using single-crystal X-ray diffraction and spectroscopic techniques

Cobalt(II) thiocyanate-based tests are routinely used to screen cocaine products, with the formation of a blue species interpreted as a positive response. An array of other organic bases has been identified as false positives – including well-documented cocaine product adulterant lidocaine and its salt. False positives prompt continued test development, though improvements are hindered by unresolved product structures and reaction pathways. Toward greater clarity, cobalt(II) thiocyanate reactions with cocaine hydrochloride, along with lidocaine and its salt, were investigated using multiple analytical techniques. Reactions involving cocaine hydrochloride yielded glassy, amorphous blue material while reactions of lidocaine hydrochloride monohydrate produced larger, needle-like crystals whose structure was determined via single-crystal X-ray diffraction to be an ion pair (Hlidocaine⁺)₂([Co(SCN)₄]²⁻)·H₂O. While the blue precipitate isolated from reactions involving cocaine hydrochloride was unsuitable for crystallographic structure determination, comparative ultraviolet–visible, attenuated total reflectance infrared, and Raman spectroscopic analysis – along with elemental analysis – supports that this solid is comprised of a comparable ion pair (Hcocaine⁺)₂[Co(SCN)₄]²⁻. Pink crystals isolated from lidocaine reaction vessels were identified as coordination compounds cis-[CoL₂(SCN)₂] and trans-[CoL₂(SCN)₂] where L = lidocaine, while pink crystals from both cocaine hydrochloride and lidocaine hydrochloride monohydrate reaction vessels were the coordination polymer trans-[Co(H₂O)₂(SCN)₂]·H₂O. The results presented herein enable reaction optimization to favor a desired product, whether ion pair or coordination species.     

裂解气相色谱-质谱法和红外光谱法对红色汽车油漆的比较分析

目的应用裂解气相色谱-质谱法（Py-GC/MS）和红外光谱法（IR）鉴别3种红色汽车油漆,通过二者的比较,考察Py-GC/MS法在微量物证油漆鉴定中的适用性。方法取适量固体样品直接检测。IR检测条件：红外显微镜,透射模式,光阑尺寸100μm×100μm,检测范围为4000-675cm-1。Py-GC/MS检测条件：裂解温度：550℃,裂解时间：0.20min。HP-5MS色谱柱,分流比80∶1;升温程序：起始温度为40℃,保持1 min,然后以8℃/min升至300℃,保持1 min。质谱采用EI源,扫描范围：29~350 amu。结果 3种红色汽车油漆的红外光谱、裂解图谱均能相互区分。通过裂解产物,能获得更多油漆主要成膜物质的成分信息。结论在样品量许可的条件下,应在红外光谱的检测基础上,进一步使用裂解气相色谱-质谱方法来对汽车油漆进行检测,通过互相验证,获得更准确、可靠的油漆鉴定结果。     

铜导线一次和二次短路熔痕的显微共聚焦激光拉曼光谱特征研究

目的 为了判定火灾发生的原因,依据激光拉曼光谱(RMS)能够反映出经过不同高温热处理炭材料的石墨化程度,以此来探索电气短路判定的技术依据.方法 利用显微共聚焦激光拉曼光谱仪对火灾中不同环境下生成的铜导线短路熔痕表面碳痕斑进行检测分析,利用碳痕斑两个拉曼特征位移峰的比值,计算不同短路熔痕表面碳化斑的石墨化度.结果 铜导线的一次短路、二次短路和火烧熔痕上残留碳斑石墨化度不同,一次短路熔珠碳痕的石墨化度R值最小,火烧熔痕的石墨化度R值最大.结论 该研究建立了显微激光拉曼光谱法无损检测分析铜导线短路熔痕的新方法.     

A Novel Application of Infrared Imaging for the Diagnosis of Death by Fire

This paper demonstrates a novel and simple technique for the diagnosis of death by fire using a digital infrared (IR) camera system. At autopsy, the inhalation of soot by a fire victim is a definite indicator proving a vital reaction during the fire. However, there can be difficulties in confirming the presence of soot because of the relative lack of soot or the similarity in color between soot and surrounding tissues. To evaluate the effectiveness of IR imaging at autopsy, we acquired internal images of the respiratory and gastrointestinal system by both an ordinary color and IR cameras. Using our method, the inhaled soot is visible as black particles or deposits, while the blood is transparent and the surrounding tissue is whitened. This technique enables the detection of normally undiscriminating soot in an ordinary color image. This is the first report suggesting the usefulness of IR imaging in forensic autopsy for the diagnosis of death by fire.     

Highly Sensitive Detection of Blood by Surface Enhanced Raman Scattering,,

Raman spectroscopy for forensic body fluid analysis has received some attention due to the nondestructive nature and potential application for identification at the crime scene; however, its usage has been limited by low detection sensitivity. Surface enhanced Raman scattering (SERS) was evaluated for blood identification for forensic applications. Specifically, a SERS‐active substrate was fabricated, composed of nickel nanotips coated with Ag nanoparticles. Compared with a conventional substrate, the SERS substrate enhanced Raman scattering by more than two orders of magnitude and allowed blood to be identified to a dilution of 1:100,000. Blood was also successfully detected by swabbing the SERS substrate directly on mock evidence. Most importantly, Raman spectra obtained by swabbing the SERS substrate on blood stains were free of luminescence even when blood was deposited on luminescent fabrics. The nondestructive character, simplicity of sample preparation, and high sensitivity make SERS a prime candidate for field and laboratory‐based blood identification.     

FTIR法在微量物证检验中的应用

本文利用FTIR法对交通肇事案件相关微量物证进行定性比对检验分析。在实际案件应用中表明,其检验分析结果准确可靠,其鉴定结论可认定或排除交通肇事嫌疑车辆。FTIR法的检验分析结果,可以为反映案件真实情况提供证据,鉴定结论可作为审理此类案件的证据,同时也可为民事索赔提供依据。     

紫外可见漫反射光谱法无损确证血痕的研究

目的建立一种快速确定血痕的方法。方法将人血、猪血、鸡血、羊血等制成样品纱布,利用紫外可见分光光度计扫描反射光谱进行检测,同时考察了人血的最低检出量。结果血痕的种属与浓度不影响紫外可见反射光谱波峰波谷位置;人血的最低检出量为1.0μL。结论该方法确证血痕具有快速、灵敏、准确、不损坏检材的特点。