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  6. A Smartphone-assisted Portable On-site Detection System For Organophosphorus Pesticides In Vegetables And Fruits Based On All-in-one Paper-based Sensors: 2,2-dichlorovinyl Dimethyl Phosphate As A Model.
  1. Home
  2. Research Domains
  3. Agricultural, Veterinary And Food Sciences
  4. Agricultural Biotechnology
  5. Agricultural Biotechnology Diagnostics (incl. Biosensors)
  6. A Smartphone-assisted Portable On-site Detection System For Organophosphorus Pesticides In Vegetables And Fruits Based On All-in-one Paper-based Sensors: 2,2-dichlorovinyl Dimethyl Phosphate As A Model.

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A smartphone-assisted portable on-site detection system for organophosphorus pesticides in vegetables and fruits based on all-in-one paper-based sensors: 2,2-Dichlorovinyl dimethyl phosphate as a model.

Chengcheng Jin1, Shuang Yang1, Junlei Zheng1

  • 1Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China.

Food Chemistry
|July 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study presents a novel paper-based sensor for detecting organophosphate pesticides (OPs). The sensor utilizes a bioenzyme-nanozyme system for sensitive and portable detection of pesticide residues.

Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Biotechnology

Background:

  • Organophosphate pesticides (OPs) pose significant risks to human health and the environment due to improper usage and residue.
  • Current detection methods often lack the simplicity, portability, and sensitivity required for widespread application.
  • There is a critical need for advanced sensing technologies to monitor OPs effectively.

Purpose of the Study:

  • To develop a simple, portable, and sensitive all-in-one paper-based sensor for organophosphate pesticide detection.
  • To integrate bioenzyme and nanozyme components for enhanced catalytic efficiency in pesticide sensing.
  • To establish a reliable method for on-site detection of pesticide residues in food samples.

Main Methods:

  • Synthesis of a Ce/Zr-MOF@FP (cerium/zirconium-metal-organic framework on filter paper) with peroxidase-like activity.
Keywords:
ColorimetryImage recognition arithmeticOrganophosphate pesticidesPaper-based sensors

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  • Immobilization of an acetylcholinesterase-cholinesterase-TMB (AChE-ChO-TMB) system onto the Ce/Zr-MOF@FP using gelatin for cascade catalysis.
  • Integration of the sensor with a Python-based image recognition algorithm for quantitative detection of OPs based on enzyme inhibition.
  • Main Results:

    • The developed sensor demonstrated high sensitivity for detecting 2,2-dichlorovinyl dimethyl phosphate (DDVP), a model OP, with a detection limit of 0.32 ng/mL.
    • Excellent recovery rates ranging from 95-107% were achieved, indicating the accuracy and reliability of the sensor.
    • The proximity effect from gelatin immobilization enhanced the cascade catalysis efficiency of the bioenzyme-nanozyme system.

    Conclusions:

    • The all-in-one paper-based sensor offers a promising solution for the rapid, on-site detection of organophosphate pesticide residues.
    • The combined bioenzyme-nanozyme approach provides a sensitive and efficient platform for environmental and food safety monitoring.
    • This technology has significant potential for practical application in detecting DDVP in vegetables and fruits.