Recent progress of fluorescent materials for fingermarks detection in forensic science and anti-counterfeiting

纳米技术 荧光 纳米材料 化学 材料科学 发光 光电子学 物理 量子力学
作者
Anees A. Ansari,Khalid M. Aldajani,Abdulaziz Alhazaa,Hamad Albrithen
出处
期刊:Coordination Chemistry Reviews [Elsevier BV]
卷期号:462: 214523-214523 被引量:159
标识
DOI:10.1016/j.ccr.2022.214523
摘要

This review summarized the applied techniques and applied nanomaterials (NMs) for the progress of latent fingerprints (LFPs) images on several surfaces. Used numerous types of NMs and their benefits along with their quality of the LFPs images on the porous and non-porous substrates. Several conventional techniques used for the examining of FPs pictures such as physical (powder dusting), chemical (cyanoacrylate, ninhydrin, AgNO3, fluorescent dye, etc.), and instrumental (gas chromatography, Raman scattering, Fourier transform infrared, etc.) have been discussed and gradually compromised their disadvantage in the current forensic science demand such as high contrast, good visualization, high sensitivity & selectivity, minimized auto-fluorescent, and low toxicity. The benefits and experimental results conducted by the researchers on various kinds of metal, metal oxides, plasmonic NPs, fluorescent NPs (conjugated polymer NPs, quantum dots(QDs), nonmetallic NPs, mesoporous silica NPs, and lanthanide (Ln3+) NPs, etc.) for the expansion of LFPs images on dissimilar surfaces. Despite the use of NPs in forensic sciences for the detection of LFPs pictures, the main emphasis is on luminescent Ln3+-NPs/ upconversion (UC) NPs. These luminescent Ln3+NPs/ UCNPs can produce more contrast, high visible, highly sensitive, selective, long-life decay imaging pictures of LFPs on different substrates (porous and non-porous) with minimized toxicity, which is lacking in most of the traditional fluorescent NMs. Therefore, this review provides a comprehensive a systematic overview of current trends on LFPs imaging development in forensic sciences. Currently, more studies are required to develop the most efficient, high-performance, surface-functionalized, highly biocompatible, and nontoxic Ln3+ NPs/ UCNPs for the recognition of LFPs images on different surfaces.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刘忙完成签到,获得积分10
1秒前
彭于晏应助babybao采纳,获得10
1秒前
不吃别夹完成签到,获得积分10
1秒前
hby发布了新的文献求助10
2秒前
3秒前
李健应助123采纳,获得10
3秒前
DDDD发布了新的文献求助30
4秒前
zeng发布了新的文献求助20
5秒前
不吃别夹发布了新的文献求助10
5秒前
阿文发布了新的文献求助20
9秒前
m方应助季夏十六采纳,获得10
12秒前
13秒前
14秒前
Xingkun_li完成签到 ,获得积分10
15秒前
科研通AI5应助一直很安静采纳,获得10
16秒前
16秒前
温柔的姿应助科研通管家采纳,获得10
16秒前
我是老大应助科研通管家采纳,获得10
16秒前
科研通AI5应助科研通管家采纳,获得10
16秒前
Jasper应助科研通管家采纳,获得10
16秒前
充电宝应助科研通管家采纳,获得10
16秒前
wly9399375完成签到,获得积分10
18秒前
123发布了新的文献求助30
18秒前
19秒前
李某某发布了新的文献求助10
19秒前
wanci应助hby采纳,获得10
19秒前
Haterain完成签到 ,获得积分10
21秒前
脑洞疼应助于鹏采纳,获得10
22秒前
华仔应助钟爱采纳,获得10
22秒前
科研通AI5应助77采纳,获得10
24秒前
Alicia完成签到 ,获得积分10
24秒前
南风发布了新的文献求助10
26秒前
直率的钢铁侠完成签到,获得积分10
27秒前
boboking完成签到,获得积分10
28秒前
zeng完成签到,获得积分10
29秒前
米龙完成签到,获得积分10
30秒前
ding应助三伏天采纳,获得10
31秒前
科研通AI2S应助猪猪hero采纳,获得10
34秒前
丘比特应助优秀的剑采纳,获得30
36秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Introduction to Strong Mixing Conditions Volumes 1-3 500
Understanding Interaction in the Second Language Classroom Context 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3808961
求助须知:如何正确求助?哪些是违规求助? 3353681
关于积分的说明 10366466
捐赠科研通 3069917
什么是DOI,文献DOI怎么找? 1685835
邀请新用户注册赠送积分活动 810750
科研通“疑难数据库(出版商)”最低求助积分说明 766320