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ACS applied materials & interfaces. 2020 Jul 1;12(26):29549-29555. doi: 10.1021/acsami.0c01972 Q18.22025

Red Fluorescent Carbon Dot Powder for Accurate Latent Fingerprint Identification using an Artificial Intelligence Program

用于人工智能程序准确识别潜在指纹的红色荧光碳点粉体 翻译改进

Xiang-Yang Dong  1, Xiao-Qing Niu  1, Zheng-Yong Zhang  2, Ji-Shi Wei  1, Huan-Ming Xiong  1

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作者单位

  • 1 Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, P. R. China.
  • 2 School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu 210023, P. R. China.
  • DOI: 10.1021/acsami.0c01972 PMID: 32543846

    摘要 Ai翻译

    Development and comparison of the latent fingerprints (LFPs) are two major studies in detection and identification of LFPs, respectively. However, integrated research studies on both fluorescent materials for LFP development and digital-processing programs for LFP comparison are scarcely seen in the literature. In this work, highly efficient red-emissive carbon dots (R-CDs) are synthesized in one pot and mixed with starch to form R-CDs/starch phosphors. Su... ...点击完成人机验证后继续浏览
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    期刊名:Acs applied materials & interfaces

    缩写:ACS APPL MATER INTER

    ISSN:1944-8244

    e-ISSN:1944-8252

    IF/分区:8.2/Q1

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    Red Fluorescent Carbon Dot Powder for Accurate Latent Fingerprint Identification using an Artificial Intelligence Program