ZnCdS:Cu,Al,Cl: A near infra-red emissive family of phosphors for marking, coding, and identification

Journal article

Silver, J, Marsh, PJ, Fern, GR, Ireland, TG and Salimian, A (2018). ZnCdS:Cu,Al,Cl: A near infra-red emissive family of phosphors for marking, coding, and identification. ECS Journal of Solid State Science and Technology. 7 (1), pp. R3057-R3063. https://doi.org/10.1149/2.0131801jss
AuthorsSilver, J, Marsh, PJ, Fern, GR, Ireland, TG and Salimian, A
Abstract

© The Author(s) 2017. Published by ECS. Zn1-xCdx:Cu0.03%,Cl (where x = 0.5-0.9) infrared emitting phosphors have been synthesized by an aqueous thermal decomposition method. The aim was to developing infrared emitting phosphors for coding, marking, and identification applications. The phosphors were characterized by, X-ray powder diffraction, scanning electron microscopy and photoluminescence spectroscopy. The emission band at 1000 nm was sufficiently far into the infrared region that visible emission was minimized. Co-doping Zn1-xCdxS:Cu0.03% with Al3+ increased the infrared emission intensity to over twice that of the equivalent Zn0.3Cd0.7S:Cu0.03% phosphor (with no Al3+ ion co-doping), with the highest intensity being found for the phosphor composition Zn0.1Cd0.9S:Cu0.03%, Al0.03%. It is shown herein that the inclusion of Al3+ into the phosphors causes the formation of cells with smaller cell volume, and it is suggested that this is the prerequisite for the improved photoluminescent properties. Finally we have shown herein that these infrared emitting powder phosphors are thus able to meet marking and coding requirements, especially in low light and poor visibility.

Year2018
JournalECS Journal of Solid State Science and Technology
Journal citation7 (1), pp. R3057-R3063
PublisherThe Electrochemical Society
ISSN2162-8769
Digital Object Identifier (DOI)https://doi.org/10.1149/2.0131801jss
Publication dates
Print01 Jan 2018
Online16 Sep 2017
Publication process dates
Accepted01 Jan 2018
Deposited12 Feb 2021
Publisher's version
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/8w0x7

Download files

Publisher's version
Silver_2018_ECS_J._Solid_State_Sci._Technol._7_R3057.pdf
License: CC BY 4.0
File access level: Open

  • 68
    total views
  • 59
    total downloads
  • 2
    views this month
  • 1
    downloads this month

Export as

Related outputs

Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes
Salimian, A. and Grisan, E. (2024). Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes. International Journal of Hydrogen Energy. 58, pp. 1030-1043. https://doi.org/10.1016/j.ijhydene.2024.01.251
Quantitative hydrogen and methane gas sensing via implementing AI based spectral analysis of plasma discharge
Salimian, A. (2023). Quantitative hydrogen and methane gas sensing via implementing AI based spectral analysis of plasma discharge. International Journal of Hydrogen Energy. 50 (Part A), pp. 1157-1173. https://doi.org/10.1016/j.ijhydene.2023.10.010
Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing
Salimian, A. and Onwukwe, U. (2023). Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing. Coatings. 13 (8), p. 1332. https://doi.org/coatings13081332
Implementing Supervised and Unsupervised Deep-Learning Methods to Predict Sputtering Plasma Features, a Step toward Digitizing Sputter Deposition of Thin Films
Salimian, A., Pardo Sanchez, C., Hasnath, M., Haine, E. and Upadhyaya, H. (2022). Implementing Supervised and Unsupervised Deep-Learning Methods to Predict Sputtering Plasma Features, a Step toward Digitizing Sputter Deposition of Thin Films. Coatings. 12 (7), p. 953. https://doi.org/10.3390/coatings12070953
Artificial Neural Networks to Predict Sheet Resistance of Indium-Doped Zinc Oxide Thin Films Deposited via Plasma Deposition
Salimian, A., Aminishahsavarani, A. and Upadhyaya, H. (2022). Artificial Neural Networks to Predict Sheet Resistance of Indium-Doped Zinc Oxide Thin Films Deposited via Plasma Deposition. Coatings. 12 (2), p. 225. https://doi.org/10.3390/coatings12020225
Hypothesis on the Influence of the Magnetic Behaviour of Hydrogen Doped Zinc Oxide during Its Plasma Sputtering Process
Salimian, A., Hasnath, A., Aminishahsavarani, A. and Upadhyaya, H. (2021). Hypothesis on the Influence of the Magnetic Behaviour of Hydrogen Doped Zinc Oxide during Its Plasma Sputtering Process. Coatings. 11 (2), p. e222. https://doi.org/10.3390/coatings11020222
Phase evolution, morphological, optical and electrical properties of femtosecond pulsed laser deposited TiO2 thin films
Kumi-Barimah, E, Penhale-Jones, R, Salimian, A, Upadhyaya, H, Hasnath, A. and Jose, G (2020). Phase evolution, morphological, optical and electrical properties of femtosecond pulsed laser deposited TiO2 thin films. Scientific Reports. 10 (1). https://doi.org/10.1038/s41598-020-67367-x
Highly Conductive Zinc Oxide Based Transparent Conductive Oxide Films Prepared using RF Plasma Sputtering Under Reducing Atmosphere
Salimian, A., Upadhyaya, H., Hasnath, A., Aminishahsavarani, A., Pardo Sanchez, C., Anguilano, L., Uchechukwu O. and Sanchez, C (2020). Highly Conductive Zinc Oxide Based Transparent Conductive Oxide Films Prepared using RF Plasma Sputtering Under Reducing Atmosphere. Coatings. 10 (5), p. 472. https://doi.org/10.3390/coatings10050472
Optical analysis of RF sputtering plasma through colour characterization
Salimian, A., Haghpanahan, R., Hasnath, A. and Upadhyaya, H. (2019). Optical analysis of RF sputtering plasma through colour characterization. Coatings. 9 (5), pp. 315-315. https://doi.org/10.3390/coatings9050315
Development of high temperature, radiation hard detectors based on diamond
Metcalfe, A, Fern, GR, Hobson, PR, Ireland, T, Salimian, A, Silver, J, Smith, DR, Lefeuvre, G and Saenger, R (2017). Development of high temperature, radiation hard detectors based on diamond. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 845, pp. 128-131. https://doi.org/10.1016/j.nima.2016.06.091
Investigating the emission characteristics of single crystal YAG when activated by high power laser beams
Salimian, A, Silver, J, Fern, GR, Upadhyaya, H, Metcalfe, A, Ireland, TG, Harris, P and Haghpanahan, R (2016). Investigating the emission characteristics of single crystal YAG when activated by high power laser beams. ECS Journal of Solid State Science and Technology. 5 (10), pp. R172-R177. https://doi.org/10.1149/2.0271610jss
Laser diode induced lighting modules
Salimian, A., Fern, G.R., Upadhyaya, H. and Silver, J. (2016). Laser diode induced lighting modules. ECS Journal of Solid State Science and Technology. 5 (3), pp. R26-R33. https://doi.org/10.1149/2.0101603jss