Non-destructive and simultaneous development and enhancement of latent fingerprints on stainless steel based on the electrochromic effect of electrodeposited manganese oxides.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2024-08-01 Epub Date: 2024-05-04 DOI:10.1016/j.talanta.2024.126148
Chuanjun Yuan, Ming Li, Meng Wang, Jiaming Lv, Yifei Sun, Tianyi Lu, Yuxin Jia, Haijun Cao, Tianchun Lin
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Abstract

Latent fingerprints, as one of the most frequently encountered traces in crime scene investigation and also one of the largest sources of forensic evidence, can play a critical role in determining the identity of a person who may be involved in a crime. Due to the invisible characteristic of latent fingerprints, exploring efficient techniques to visualize them (especially the ones resided on metallic surfaces) while retain the biological and chemical information (e.g., touch DNA) has become a multidisciplinary research focus. Herein we reported a new and highly sensitive electrochemical interfacial strategy of simultaneously developing and enhancing latent fingerprints on stainless steel based on synchronous electrodeposition and electrochromism of manganese oxides in a neutral aqueous electrolyte. By utilizing a specially designed device for electrochemical testing and image capture, a series of electrochemical measurements, physical characterization and image analysis have been applied to evaluate the feasibility, development accuracy and enhancement efficacy of the proposed electrochemical system. The qualitative and quantitative analysis on the in situ and ex situ fingerprint images indicates that the three levels of fingerprint features can be precisely developed and effectively enhanced. Forensic DNA typing has also been performed to reveal actual impact of the proposed electrochemical system on subsequent analysis of touch DNA in fingerprint residues. The ratio of detected loci after electrochemical treatment reaches up to 98.5 %, showing non-destructive nature of this fingerprint development and enhancement technique.

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基于电沉积锰氧化物的电致变色效应,对不锈钢上的潜在指纹进行无损同步显影和增强。
隐性指纹是犯罪现场调查中最常见的痕迹之一,也是最大的法医证据来源之一,在确定犯罪嫌疑人的身份方面起着至关重要的作用。由于潜伏指纹具有不可见的特点,因此探索有效的技术使其可视化(尤其是存在于金属表面的指纹),同时保留生物和化学信息(如触摸 DNA)已成为多学科研究的重点。在此,我们报告了一种新型、高灵敏度的电化学界面策略,该策略基于锰氧化物在中性水电解质中的同步电沉积和电致色,可同时显现和增强不锈钢上的潜在指纹。利用专门设计的电化学测试和图像捕捉装置,进行了一系列电化学测量、物理表征和图像分析,以评估拟议电化学系统的可行性、显影精度和增强效果。对原位和非原位指纹图像进行的定性和定量分析表明,三个层次的指纹特征都能得到精确开发和有效增强。此外,还进行了法医 DNA 分型,以揭示拟议的电化学系统对指纹残留物中触摸 DNA 的后续分析的实际影响。经过电化学处理后,检测到的基因位点比例高达 98.5%,显示了这种指纹显影和增强技术的非破坏性。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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