Background-free latent fingerprint imaging based on nanocrystals with long-lived luminescence and pH-guided recognition
文献类型:期刊论文
作者 | Li, Zhiheng1; Wang, Qian1; Wang, Yingqian1; Ma, Qinqin1; Wang, Jie1; Li, Zhihao1; Li, Yingxue1; Lv, Xiaobo1; Wei, Wei2; Chen, Lang3 |
刊名 | NANO RESEARCH
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出版日期 | 2018-12-01 |
卷号 | 11期号:12页码:6167-6176 |
关键词 | Fingerprint Persistent Luminescence Background Interference Nanoparticle Imaging |
ISSN号 | 1998-0124 |
DOI | 10.1007/s12274-018-2133-6 |
英文摘要 | Latent fingerprints (LFPs) are highly specific to individuals, and LFP imaging has played an important role in areas such as forensic investigation and law enforcement. Presently, LFP imaging still faces considerable problems, including background interference and destructive and complex operations. Herein, we have designed a background-free, nondestructive, and easy-to-perform method for LFP imaging based on pH-mediated recognition of LFPs by carboxyl group-functionalized Zn2GeO4:Mn (ZGO:Mn-COOH) persistent luminescence nanorods (PLNRs). By simply adjusting the pH of the ZGO: Mn-COOH colloid dispersion to a certain acidic range, the negatively charged ZGO: Mn-COOH readily binds to protonated fingerprint ridges via electrostatic attraction. The ZGO:Mn-COOH colloid dispersion can be stored in portable commercial spray bottles, and the LFPs have been easily detected in situ by simply dropping the colloid dispersion on the LFPs. Moreover, since the ZGO:Mn-COOH can remain luminescent after excitation ceases, background color and background fluorescence interference were efficiently removed by simply capturing the luminescent LFP images after the excitation ceased. The entire LFP imaging process can be easily conducted without any destructive or complex operations. Due to the great versatility of the developed method for LFP imaging, clear LFP images with well-resolved ridge patterns were obtained. The designed background-free, nondestructive, and easy-to-perform LFP imaging strategy has great potential for future applications, such as forensic investigations and law enforcement. |
WOS关键词 | Infrared Persistent Luminescence ; Multimetal Deposition ; Rapid Visualization ; Recent Progress ; Living Cells ; Nanoparticles ; Identification ; Enhancement ; Nanoprobes ; Acid |
资助项目 | National Natural Science Foundation of China[21675120] ; National Key R&D Program of China[2017YFA0208000] ; National Basic Research Program of China (973 Program)[2015CB932600] ; Open Funding Project of the State Key Laboratory of Biochemical Engineering[4102010299] ; Fundamental Research Funds for the Central Universities[2042017kf0210] |
WOS研究方向 | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000454367500004 |
出版者 | TSINGHUA UNIV PRESS |
资助机构 | National Natural Science Foundation of China ; National Key R&D Program of China ; National Basic Research Program of China (973 Program) ; Open Funding Project of the State Key Laboratory of Biochemical Engineering ; Fundamental Research Funds for the Central Universities |
源URL | [http://ir.ipe.ac.cn/handle/122111/27662] ![]() |
专题 | 中国科学院过程工程研究所 |
通讯作者 | Yuan, Quan |
作者单位 | 1.Wuhan Univ, Coll Chem & Mol Sci, Minist Educ, Key Lab Analyt Chem Biol & Med, Wuhan 430072, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 10090, Peoples R China 3.Wuhan Univ, Sch Basic Med Sci, Wuhan 430072, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Zhiheng,Wang, Qian,Wang, Yingqian,et al. Background-free latent fingerprint imaging based on nanocrystals with long-lived luminescence and pH-guided recognition[J]. NANO RESEARCH,2018,11(12):6167-6176. |
APA | Li, Zhiheng.,Wang, Qian.,Wang, Yingqian.,Ma, Qinqin.,Wang, Jie.,...&Yuan, Quan.(2018).Background-free latent fingerprint imaging based on nanocrystals with long-lived luminescence and pH-guided recognition.NANO RESEARCH,11(12),6167-6176. |
MLA | Li, Zhiheng,et al."Background-free latent fingerprint imaging based on nanocrystals with long-lived luminescence and pH-guided recognition".NANO RESEARCH 11.12(2018):6167-6176. |
入库方式: OAI收割
来源:过程工程研究所
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