4.7 Article

Synthesis of green emissive carbon dots@montmorillonite composites and their application for fabrication of light-emitting diodes and latent fingerprints markers

期刊

JOURNAL OF COLLOID AND INTERFACE SCIENCE
卷 554, 期 -, 页码 344-352

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2019.07.022

关键词

Carbon dot; Montmorillonite; Solid-state luminescent materials; Light-emitting diodes; Latent fingerprint detection

资金

  1. National Natural Science Foundation of China [51602304, 81600879]
  2. Jilin Province Science and Technology Research [20190103088JH, 20180520010JH, 20150519003JH, 20140101060JC, 20170101191JC, 20170101042JC]
  3. Young Elite Scientist Sponsorship Program by CAST [2018QNRC001]
  4. Jilin Province Education Department Science and Technology Research [JJKH20190106KJ, JJKH20181026KJ]
  5. China Postdoctoral Science Foundation [2018T110259, 2016M601386]

向作者/读者索取更多资源

Multifunctional solid-state luminescent materials are strongly desired in a wide variety of applications. In this work, green emissive carbon dots@montmorillonite (g-CDs@MMT) composites were synthesized based on green emissive carbon dots and MMT clays in a convenient method by embedding g-CDs into the MMT clays. Due to the confinement of g-CDs in the layered structure of the MMT clay matrix, g-CDs are uniformly dispersed in the resulting g-CDs@MMT solid-state composites. This efficiently prevents the aggregation-induced solid-state luminescence quenching of g-CDs, and a photoluminescence quantum yield of 11% could be achieved by the g-CDs@MMT composites under a 405 nm light. Additionally, the g-CDs@MMT composites exhibit low-toxicity, excellent thermal stability, photostability, resistance to organic solvents, and a small particle size. All of these advantages enable applications in fabricating white light-emitting diodes with different color temperatures, where the g-CDs@MMT composites are applied as the color conversion layer. Furthermore, by using the g-CDs@MMT composites as a fluorescence labeling marker, the latent fingerprint detection on a variety of object surfaces could be realized. (C) 2019 Elsevier Inc. All rights reserved.

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