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复旦大学化学系 上海市分子催化和功能材料重点实验室,上海 200438
Published:01 August 2021,
Received:02 November 2020,
Revised:26 November 2020,
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Jun LIU, Xi-rong ZHANG, Huan-ming XIONG. Application of Fluorescent Carbon Dots in Fingerprint Detection. [J]. Chinese Journal of Luminescence 42(8):1095-1113(2021)
Jun LIU, Xi-rong ZHANG, Huan-ming XIONG. Application of Fluorescent Carbon Dots in Fingerprint Detection. [J]. Chinese Journal of Luminescence 42(8):1095-1113(2021) DOI: 10.37188/CJL.20200334.
碳点是一类尺寸在1~10 nm、以碳为主要元素的纳米粒子,因其合成原料广泛、生物安全性高、荧光信号强、光学性质稳定等众多优点在荧光分析检测领域展现出美好的前景。潜指纹是人的手指分泌物留在固体接触面上靠肉眼难以分辨的痕迹,需要经过物理化学处理来增强成像的效果。把荧光碳点应用于潜指纹的增强成像充分发挥了碳点自身的优势,最近几年的研究已经取得一系列进展。本文介绍了潜指纹常见的显现方法,综述了碳点的合成制备、发光机理、在潜指纹检测中的应用、成像机制和功效比较,展望了碳点在潜指纹检测中的不足之处和未来发展方向,为相关领域的研究工作提供了重要的参考。
Carbon dots(CDs) are a type of 1-10 nm nanosized particles with carbon as the main element. They show bright prospects in the field of fluorescence analysis and detection due to its many advantages
such as a wide range of synthetic raw materials
high biological safety
strong fluorescence signal
and stable optical properties. Latent fingerprint detection is a classical and reliable identification technology. Latent fingerprint is the trace of human finger secretions on solid contact surface which is hard to distinguish by naked eye. It needs to be processed by physical chemistry to enhance the imaging effect. The application of fluorescent carbon dots to enhanced imaging of latent fingerprints has given full play to the advantages of carbon dots and a series of advances have been made in recent years. In this paper
the common developing methods of latent fingerprints are introduced
the synthesis and preparation of carbon dots
luminescence mechanism
application in latent fingerprint detection
imaging mechanism and efficiency comparison are summarized. The deficiencies and future development direction of carbon dots in latent fingerprint detection are prospected
which provides an important reference for research work in related fields.
碳点制备荧光指纹检测
carbon dotspreparationfluorescencefingerprint detection
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