IIUM Repository

A highly sensitive and selective thiosemicarbazone chemosensor for detection of ­Co2+ in aqueous environments using RSM and TD/DFT approaches

Ismail, Hakimah and Ahmad, Mohammad Norazmi and Abdullah, Erna Normaya (2021) A highly sensitive and selective thiosemicarbazone chemosensor for detection of ­Co2+ in aqueous environments using RSM and TD/DFT approaches. Scientific Reports-Nature, 11. pp. 1-12. ISSN 2045-2322

[img] PDF (Article) - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy
PDF (WoS) - Supplemental Material
Download (842kB) | Preview
PDF (Scopus) - Supplemental Material
Download (2MB) | Preview


Chemosensor using organic based compound offering superior alternative method in recognizing metal ion in environmental water. The optimization process strongly affected the performance of the designed sensor. In this study, a highly sensitive and selective colorimetric sensor system utilizing an organic compound, namely thiosemicarbazone-linked acetylpyrazine (TLA), to recognize Co2+ ions in different environmental water samples was successfully developed using the response surface methodology (RSM) approach. The developed model was optimized successfully and had statistically significant independent variables (p < 0.05), with optimum recognition occurring in 8:2 v/v DMSO/water at a pH of 5.3, a 100:70 μM TLA/Co2+ concentration, and 15 min of reaction time. Under optimum conditions, the TLA sensor recognized Co2+ ions at concentrations as low as 1.637 μM, which is lower than the detection limit of flame atomic absorption spectroscopy (FAAS). Theoretical approaches supported the experimental data as well as characterized and predicted the mechanistic non-covalent interactions of TLA-Co2+ within the chemosensing system. Finally, all the positive results produced in this study point to TLA as an alternative and comparable probe for recognizing Co2+ pollution in water that is cost effective, movable and easy-to-handle, requires no special training and ecofriendly.

Item Type: Article (Journal)
Additional Information: 7149/93334 Claim Publication Fee on 10.11.2021 -sn
Uncontrolled Keywords: Chemosensor, RSM, TD-DFT
Subjects: Q Science > QD Chemistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science
Kulliyyah of Science > Department of Chemistry
Depositing User: Dr. Erna Normaya Abdullah
Date Deposited: 27 Oct 2021 15:24
Last Modified: 20 Nov 2021 22:28
URI: http://irep.iium.edu.my/id/eprint/93334

Actions (login required)

View Item View Item


Downloads per month over past year