期刊
ACS APPLIED NANO MATERIALS
卷 4, 期 11, 页码 12429-12441出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsanm.1c02876
关键词
palladium nanochains; graphene nanoflakes; tungsten disulfide nanosheets; formaldehyde; flow injection amperometry
资金
- Prince of Songkla University
- Ministry of Higher Education, Science, Research and Innovation, under the Reinventing University Project [REV64046]
- Thailand Research Fund (TRF) [RSA 6280081]
- Prince of Songkla University [RSA 6280081]
- Center of Excellence for Innovation in Chemistry (PERCH-CIC)
- Center of Excellence for Trace Analysis and Biosensor (TAB-CoE)
- Forensic Innovation Center
- Graduate School, Prince of Songkla University, Hat Yai, Thailand
- Faculty of Science, Prince of Songkla University, Hat Yai, Thailand
A portable, highly sensitive, and rapid sensor has been proposed for the determination of carcinogenic substance formaldehyde in food samples. The sensor showed good anti-interference characteristics, repeatability, and reproducibility, and successfully determined formaldehyde concentrations in food samples with high accuracy.
Formaldehyde (FA) is a carcinogenic substance that can be found in various foods. A portable, highly sensitive, and rapid sensor comprising a flow injection amperometric analysis system and an enzyme-free electrode interface is proposed for the determination of FA sampled from foodstuffs. The electrode interface is based on a nanocatalyst of aggregated palladium nanochains anchored on a nanocomposite of graphene nanoflakes and tungsten disulfide nanosheets (PdNC-GNF/WS2). The PdNC-GNF/WS2 electrode directly catalyzes the oxidation of FA at a low applied potential (-0.05 V vs Ag/AgCl) in an alkaline medium. The quantitative determination of FA was performed using a portable flow injection amperometric system connected wirelessly to a portable smart device. Under optimal conditions, the proposed sensor produced linear ranges from 0.010 to 10 mM and 10 to 100 mM with a sensitivity up to 220.6 mu A mM(-1) cm(2). The limit of detection was 0.003 niM (0.10 mg L-1), and sample throughput was 60 samples h(-1). The anti-interference characteristics, repeatability, and reproducibility of the sensor toward FA determination were good. The proposed sensor successfully determined FA from food samples, achieving recoveries from 96 +/- 4% to 103 +/- 3% (n = 3). The obtained analytical performances and results support the potential of the proposed sensor in practical applications.
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