Electrochemical Sensor for Levosulpiride Detection and Its Adsorptive Removal from Wastewater

There is increasing apprehension regarding the harmful impacts of synthetic drugs, particularly the antipsychotic levosulpiride. Consequently, it is both an environmental and a social responsibility to create effective sensors and materials for the early detection and removal of this drug before consumption of contaminated water. The detection goal is achieved by the development of a highly sensitive and selective sensing platform, while the removal objective is achieved by the polyacrylamide hydrogel. The present study introduces a novel combination of advanced materials and green chemistry concepts for the development of an electrode modifier (functionalized MWCNTs) and an adsorbent (polyacrylamide hydrogel). Unlike conventional methods, where drug molecules slowly diffuse to the electrode surface, our technique for sensor preparation directly immobilizes these molecules on the electrode, leading to robust electrochemical signals and establishing a highly sensitive detection platform with a significantly reduced limit of detection (0.7 nM). Furthermore, while traditional adsorption processes may take hours or even days, our unique adsorbent for levosulpiride demonstrates effective removal in just 45 min, as confirmed by our experimental findings. Results revealed that adsorption occurred in accordance with the Langmuir model, while the kinetics of adsorption adhered to pseudo-second order kinetics. Thermodynamic parameters such as negative Δ<i>G</i> and positive Δ<i>S</i> revealed the spontaneous nature of the entropy-driven process of adsorption.

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Publication Details

Journal
ACS Omega
Published
2025-04-23
DOI
https://doi.org/10.1021/acsomega.4c11218
Citations
1
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.76

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article

Electrochemical Sensor for Levosulpiride Detection and Its Adsorptive Removal from Wastewater

Mohsin Javed, Afzal Shah, Iltaf Shah
1 citations
ACS Omega
Molecular Sensors and Ion Detection
0.76
article

Electrochemical Sensor for Levosulpiride Detection and Its Adsorptive Removal from Wastewater

Mohsin Javed, Afzal Shah, Iltaf Shah
article en
1 citations

Abstract

There is increasing apprehension regarding the harmful impacts of synthetic drugs, particularly the antipsychotic levosulpiride. Consequently, it is both an environmental and a social responsibility to create effective sensors and materials for the early detection and removal of this drug before consumption of contaminated water. The detection goal is achieved by the development of a highly sensitive and selective sensing platform, while the removal objective is achieved by the polyacrylamide hydrogel. The present study introduces a novel combination of advanced materials and green chemistry concepts for the development of an electrode modifier (functionalized MWCNTs) and an adsorbent (polyacrylamide hydrogel). Unlike conventional methods, where drug molecules slowly diffuse to the electrode surface, our technique for sensor preparation directly immobilizes these molecules on the electrode, leading to robust electrochemical signals and establishing a highly sensitive detection platform with a significantly reduced limit of detection (0.7 nM). Furthermore, while traditional adsorption processes may take hours or even days, our unique adsorbent for levosulpiride demonstrates effective removal in just 45 min, as confirmed by our experimental findings. Results revealed that adsorption occurred in accordance with the Langmuir model, while the kinetics of adsorption adhered to pseudo-second order kinetics. Thermodynamic parameters such as negative Δ<i>G</i> and positive Δ<i>S</i> revealed the spontaneous nature of the entropy-driven process of adsorption.

ACS OmegaVol. 10(17)
Quaid-i-Azam University (PK), United Arab Emirates University (AE)
Higher Education Commission, Pakistan, United Arab Emirates University
Clean water and sanitation
Openalex Percentile: Top 32%
Molecular Sensors and Ion Detection
0.76
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