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  5. Facile and efficient 3-chlorophenol sensor development based on photolumenescent core-shell CdSe/ZnS quantum dots

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Article
en
2020

Facile and efficient 3-chlorophenol sensor development based on photolumenescent core-shell CdSe/ZnS quantum dots

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en
2020
Vol 10 (1)
Vol. 10
DOI: 10.1038/s41598-019-57091-6

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Abdullah Mohamed Asiri
Abdullah Mohamed Asiri

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Mohammed M. Rahman
Mohammad Rezaul Karim
M. M. Alam
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Abstract

Quantum dots (QDs) are semiconducting inorganic nanoparticles, tiny molecules of 2-10 nm sizes to strength the quantum confinements of electrons. The QDs are good enough to emit light onto electrons for exciting and returning to the ground state. Here, CdSe/ZnS core/shell QDs have been prepared and applied for electrochemical sensor development in this approach. Flat glassy carbon electrode (GCE) was coated with CdSe/ZnS QDs as very thin uniform layer to result of the selective and efficient sensor of 3-CP (3-chlorophenol). The significant analytical parameters were calculated from the calibration plot such as sensitivity (3.6392 µA µM-1 cm-2) and detection limit (26.09 ± 1.30 pM) with CdSe/ZnS/GCE sensor probe by electrochemical approach. The calibration curve was fitted with the regression co-efficient r2 = 0.9906 in the range of 0.1 nM ∼ 0.1 mM concentration, which denoted as linear dynamic range (LDR). Besides these, it was performed the reproducibility in short response time and successfully validated the fabricated sensor for 3-CP in the real environmental and extracted samples. It is introduced as a noble route to detect the environmental phenolic contaminants using CdSe/ZnS QDs modified sensor by electrochemical method for the safety of healthcare and environmental fields at broad scales.

How to cite this publication

Mohammed M. Rahman, Mohammad Rezaul Karim, M. M. Alam, Md. Badruz Zaman, Nabeel H. Alharthi, Hamad F. Alharbi, Abdullah Mohamed Asiri (2020). Facile and efficient 3-chlorophenol sensor development based on photolumenescent core-shell CdSe/ZnS quantum dots. , 10(1), DOI: https://doi.org/10.1038/s41598-019-57091-6.

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Publication Details

Type

Article

Year

2020

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41598-019-57091-6

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