Developing an Intelligent Analytical Method for Monitoring Pesticide Residues and Heavy Metals in Local Vegetables Using Portable Nano-Sensors

Sura Ekrayym  Ahmed

doi:10.51699/cajotas.v7i3.1682

Authors

Sura Ekrayym Ahmed Department of Chemistry, College of Science, Tikrit University, Tikrit, Iraq

DOI:

https://doi.org/10.51699/cajotas.v7i3.1682

Keywords:

Portable nanosensors, Pesticide residues, Heavy metals, Smart analytical chemistry, Electrochemical sensing

Abstract

Monitoring chemical pollutants in vegetables has become a prominent focus in modern analytical chemistry because fresh vegetables may acquire pesticide residues and heavy metals, which might jeopardize food safety and consumer health. Although traditional reference techniques are very precise and sensitive, their use for rapid on-site testing is restricted since they may need expensive equipment, specialized laboratories, and long processing periods. The study problem is the lack of a creative, portable analytical method that combines speed, reliability, and field application for detecting pesticide residues and heavy metals in local vegetables within a single framework. It looked and created a smart analytical method based on portable nanosensors to swab neighborhood vegetables for positive pesticide residues and precise heavy metals. Its analytical effectiveness is assessed through the contrast with respect to technology. The Look at has used virtual reading units, improved record processing, and fabrication of portable nanoelectrochemical sensor systems Local vegetable samples are collected from the market and processed using ideal extraction digestion strategies. Linearity, limit of detection, reproducibility, recovery and consistency regarding the processes were established through study The findings confirmed that the encouraged process has perfect linearity, low limit of detection and satisfactory repeatability. The recovery cost was additionally within reasonable analytical limits, and there was a surprising convergence between the sensor results and the reference strategies This proves its effectiveness as a potential tool for rapid web surface monitoring of vegetable infection.

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