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Facile colorimetric detection of As(V) in Rice with immobilized acid phosphatase on hollow metal-organic frameworks hybrid with peroxidase-like activity. | LitMetric

AI Article Synopsis

  • The study focuses on developing a colorimetric method to detect arsenic (As(V)) in rice, enhancing food safety and pollution control.
  • The method uses immobilized acid phosphatase in a specialized hybrid framework that improves detection efficiency and reliability.
  • The resulting biosensor has a wide detection range, low limits of detection, and is successfully tested on various rice samples, showcasing its practical application.

Article Abstract

Quantitative analysis of As(V) in rice is of great significance for food safety and heavy metal pollution control. Here, a facile colorimetric method for As(V) detection was constructed by using immobilized acid phosphatase (ACP) in hollow metal-organic frameworks hybrid. Metalloporphyrin and gold nanoparticles modified hollow zeolite imidazole framework-8 [Au/HZIF-8@TCPP(Fe)], named AuHT, was chosen here as ACP immobilizing carrier with peroxidase-like activity. Firstly, the morphology, structure, immobilization efficiency and catalytic ability of obtained AuHT@ACP were fully characterized. Then, based on the inhibition of As(V) on immobilized ACP and cascade reaction mediated by ACP and AuHT, a colorimetric biosensor was established with excellent simplicity. After comprehensive validation, this colorimetric method presented the advantages of wide linear range (10.0-1000.0 μg/L), low LOD (4.0 μg/L), nice accuracy (recovery of 93.7-109.6 %) and good selectivity. Finally, this method was applied to visual detection of As(V) in rice samples with different varieties.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697283PMC
http://dx.doi.org/10.1016/j.fochx.2024.102051DOI Listing

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