Dhamodharan Arumugam , Md Maruf Ahmed , Zonish Zeb , Yajun Gao , Huan Pang
{"title":"Nanocarbon sensors: Unlocking efficient detection of water pollutants through electrocatalysis","authors":"Dhamodharan Arumugam , Md Maruf Ahmed , Zonish Zeb , Yajun Gao , Huan Pang","doi":"10.1016/j.jfca.2025.108357","DOIUrl":null,"url":null,"abstract":"<div><div>This study addresses the pressing issue of water contamination by developing a sensitive electrochemical sensor for bisphenol A (BPA) detection using a nanocomposite of Nickel disulfide (NiS₂) embedded in functionalized multi-walled carbon nanotubes (f-MWCNTs). The NiS₂/f-MWCNTs modified glassy carbon electrode (GCE) demonstrated a low limit of detection of 21 nM, surpassing some existing sensors and highlighting its potential for trace-level BPA detection. The sensor exhibited an enhancement in charge transfer kinetics compared to bare electrodes, attributed to the synergistic effects between NiS₂ and f-MWCNTs. With its high sensitivity and rapid response, this sensor shows promise for integration into handheld devices for on-site water testing, enabling efficient and accurate monitoring of BPA contamination. The proposed sensor's performance was validated through successful detection of BPA in real-world water samples, including milk, with recoveries ranging from 96.3 % to 99.50 %. This study demonstrates the potential of hybrid electrocatalysts in sensing applications, providing a promising approach for detecting environmental pollutants and ensuring water quality.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108357"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157525011731","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This study addresses the pressing issue of water contamination by developing a sensitive electrochemical sensor for bisphenol A (BPA) detection using a nanocomposite of Nickel disulfide (NiS₂) embedded in functionalized multi-walled carbon nanotubes (f-MWCNTs). The NiS₂/f-MWCNTs modified glassy carbon electrode (GCE) demonstrated a low limit of detection of 21 nM, surpassing some existing sensors and highlighting its potential for trace-level BPA detection. The sensor exhibited an enhancement in charge transfer kinetics compared to bare electrodes, attributed to the synergistic effects between NiS₂ and f-MWCNTs. With its high sensitivity and rapid response, this sensor shows promise for integration into handheld devices for on-site water testing, enabling efficient and accurate monitoring of BPA contamination. The proposed sensor's performance was validated through successful detection of BPA in real-world water samples, including milk, with recoveries ranging from 96.3 % to 99.50 %. This study demonstrates the potential of hybrid electrocatalysts in sensing applications, providing a promising approach for detecting environmental pollutants and ensuring water quality.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.