Tailoring of structural and photoluminescence emissions by Mn and Cu co-doping in 2D nanostructures of ZnS for the visualization of latent fingerprints and generation of white light.


Journal

Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249

Informations de publication

Date de publication:
23 Jan 2019
Historique:
pubmed: 16 1 2019
medline: 16 1 2019
entrez: 16 1 2019
Statut: ppublish

Résumé

There has been a recent demand for the development of luminescent materials for visualizations of latent fingerprints (LFPs) for achieving enhanced security. Also recently, there has been a new research trend in the development of 2D materials from non-layered semiconductors with strong luminescence properties in the visible region. The conventional growth process of luminescent materials limits their capacity of tuning the structure and light emission efficiency. However, multi-atom doping provides an additional degree of freedom to tune the basic morphologies and optical properties of luminescent semiconductors by controlling the defect levels. Here, by using a simple chemical technique, multi-atom (Cu and Mn) doped rarely reported 2D nanosheets of zinc sulphide (ZnS) have been grown. Thus, a stable high fluorescence efficiency of ∼62% in the visible region has been realized for the visualization of LFPs. Furthermore, near-white light emission has been demonstrated by coating the synthesized materials with a suitable doping concentration on a commercially available UV-LED chip. The proposed technique may be utilized further to build up other 2D nanostructured materials for multifunctional applications in solid state lighting, LFPs and forensic science.

Identifiants

pubmed: 30644949
doi: 10.1039/c8nr09074b
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2017-2026

Auteurs

Partha Kumbhakar (P)

Nanoscience Laboratory, Dept. of Physics, National Institute of Technology Durgapur, 713209, India. pathik.kumbhakar@phy.nitdgp.ac.in nitdgpkumbhakar@yahoo.com.

Classifications MeSH