Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146935
Title: Fluorescent N/Al co-doped carbon dots from cellulose biomass for sensitive detection of manganese (VII)
Authors: Jayaweera, Supuli
Yin, Ke
Hu, Xiao
Ng, Wun Jern
Keywords: Engineering::Environmental engineering
Issue Date: 2019
Source: Jayaweera, S., Yin, K., Hu, X. & Ng, W. J. (2019). Fluorescent N/Al co-doped carbon dots from cellulose biomass for sensitive detection of manganese (VII). Journal of Fluorescence, 29(6), 1291-1300. https://dx.doi.org/10.1007/s10895-019-02452-7
Journal: Journal of Fluorescence
Abstract: Development of metallic and nonmetallic heteroatom doped carbon dots have gained attention due to their enhanced physicochemical and photoluminescence properties. In this study, a facile one pot hydrothermal carbonisation approach was taken to synthesise nitrogen, aluminum co-doped carbon dots (N/Al-CDs) with a photoluminescence quantum yield of 28.7%. Durian shell, a cellulose biomass waste, was used as the primary carbon source and compared to previously reported cellulose based carbon dots, this study presents one of the highest quantum yields. The structural and fluorescent properties of the synthesised N/Al-CDs were characterized through X-ray photoelectron spectroscopy (XPS), fluorescence spectra, and Fourier transform infrared spectroscopy (FTIR). The maximum emission was at 415 nm upon excitation at 345 nm. The synthesised N/Al-CDs were resistant to photobleaching and highly photostable within the pH, ionic strength and temperature variations investigated. The transmission electron microscopy (TEM) images showed particles were quasi-spherical and well dispersed with an average diameter of 10.0 nm. Further, the N/Al-CDs was developed as a fluorescence sensor for highly selective and sensitive detection of Mn (VII) ions. A linear relationship was developed over a concentration range of 0-100 μM while the limit of detection was 46.8 nM. Application of the sensor for detection of Manganese (VII) to two real water samples showed relative standard deviation was less than 3.9% and 1.3%, respectively.
URI: https://hdl.handle.net/10356/146935
ISSN: 1053-0509
DOI: 10.1007/s10895-019-02452-7
Rights: © 2019 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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