journal article·2021-11-26

Portable Flow Injection Amperometric Sensor Consisting of Pd Nanochains, Graphene Nanoflakes, and WS2 Nanosheets for Formaldehyde Detection

Kiattisak Promsuwan, Jenjira Saichanapan, Asamee Soleh, Kasrin Saisahas, Proespichaya Kanatharana, Panote Thavarungkul, Kunanunt Tayayuth, Chun Xian Guo, Chang Ming Li, Warakorn Limbut

ACS Applied Nano Materials· Volume 4· Issue 11
Publisher page

Abstract

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 μA mM–1 cm2. The limit of detection was 0.003 mM (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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrochemical sensors and biosensors · Electrochemical Analysis and Applications · Advanced Chemical Sensor Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, HatYai, Songkhla 90110, Thailand

Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

Forensic Science Innovation and Service Center, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia

Prince of Songkla University, Science Park, M.6 Thung Yai, Songkhla 90110, Thailand

Institute of Materials Science & Devices, Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, China

Institute for Clean Energy & Advanced Materials, Faculty of Materials and Energy, Southwest University, Chongqing 400715, China

Funding

Prince of Songkla University and Ministry of Higher Education, Science, Research and Innovation under the Reinventing University Project · Thailand Research Fund (TRF) and Prince of Songkla University

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