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Electropolymerization of poly(phenol red) on laser-induced graphene electrode enhanced adsorption of zinc for electrochemical detection
Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand.
Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand.
Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand.
Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand; Prince Songkla Univ, Thailand.
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2024 (English)In: Talanta: The International Journal of Pure and Applied Analytical Chemistry, ISSN 0039-9140, E-ISSN 1873-3573, Vol. 272, article id 125751Article in journal (Refereed) Published
Abstract [en]

We present a highly sensitive and selective electrode of laser-induced graphene modified with poly(phenol red) (P(PhR)@LIG) for measuring zinc nutrition in rice grains using square wave anodic stripping voltammetry (SWASV). The physicochemical properties of P(PhR)@LIG were investigated with scanning electron microscopy (SEM), energy -dispersive X-ray (EDX), Fourier infrared spectroscopy (FT-IR) and Raman spectroscopy. The modified electrode demonstrated an amplified anodic stripping response of Zn2+ due to the electropolymerization of P(PhR), which enhanced analyte adsorption during the accumulation step of SWASV. Under optimized parameters, the developed sensor provided a linear range from 30 to 3000 mu g L-1 with a detection limit of 14.5 mu g L-1. The proposed electrode demonstrated good reproducibility and good anti-interference properties. The sensor detected zinc nutrition in rice grain samples with good accuracy and the results were consistent with the standard ICP-OES method.

Place, publisher, year, edition, pages
ELSEVIER , 2024. Vol. 272, article id 125751
Keywords [en]
Laser-induced graphene; Poly(phenol red); Electrochemical sensor; Zinc detection; Rice grains
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-203131DOI: 10.1016/j.talanta.2024.125751ISI: 001196629600001PubMedID: 38377665OAI: oai:DiVA.org:liu-203131DiVA, id: diva2:1855253
Note

Funding Agencies|National Science, Research and Innovation Fund (NSRF); Prince of Songkla University [SCI6601241S]; Forensic Science Innovation and Service Center; Center of Excellence for Trace Analysis and Biosensor (TAB-CoE); Talent Management Project; Center of Excellence for Innovation in Chemistry (PERCH-CIC); Division of Health and Applied Sciences, Graduate School and Faculty of Science, Prince of Songkla University, Hat Yai, Thailand

Available from: 2024-04-30 Created: 2024-04-30 Last updated: 2024-04-30

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Meng, Lingyin
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Sensor and Actuator SystemsFaculty of Science & Engineering
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