Apple polysaccharide stabilized palladium nanoparticles for sensitive detection of organophosphorus pesticide.

Int J Biol Macromol

State Key Laboratory of Metastable Materials Science and Technology, Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, Yanshan University, Qinhuangdao 066004, China. Electronic address:

Published: November 2024

AI Article Synopsis

  • * Apple polysaccharide-stabilized palladium nanoparticles (AP-PdNPs) were created, showing strong peroxidase-like activity that can decompose hydrogen peroxide and generate a color change for OP detection.
  • * A new biosensor utilizing AP-PdNPs was developed, offering a wide detection range for OPs, an extremely low limit of detection, and a cost-effective alternative to traditional enzyme-based methods.

Article Abstract

The widespread application of organophosphorus pesticides (OPs) has inflicted significant damage on human well-being and food security. Hence, it is imperative to develop a friendly and accessible biosensor for the detection of OPs. Herein, apple polysaccharide (AP) stabilized palladium nanoparticles (AP-PdNPs) with a particle size of 2.75-5.95 nm were prepared using AP as a stabilizer and reducing agent. AP-PdNPs exhibited good peroxidase-like activity and effectively decomposed HO to ·OH, which catalyzed the 3,3',5,5'-tetramethylbenzidine system to become blue. The catalytic kinetics of AP-PdNPs conformed to the typical Michelis-Menten equation. Furthermore, OPs directly inhibited the peroxidase-like activity of AP-PdNPs. Thus, a highly effective colorimetric biosensor was developed for the detection of OPs. The detection range of the biosensor was 0.050 μg/L - 200 mg/L, and the limit of detection was extremely low to 0.010 μg/L. Compared with other nanomaterials, the detection platform based on AP-PdNPs can effectively detect organophosphorus pesticides without coupling natural enzymes;this method is more economical and practical. Therefore, this established method explores good perspective for the detection of OPs.

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Source
http://dx.doi.org/10.1016/j.ijbiomac.2024.136056DOI Listing

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