Abstract

This study introduces an applicable colorimetric sensor array for the detection of pesticides in the vapor phase. The array consisted of six metal nanoparticles spotted on the piece of filter paper. 3D-origami pattern was used for the fabrication of a paper-based sensor to decrease the effect of the nanoparticles leaching after exposure to analytes. Exposure to pesticide aerosols caused changes in the color of the array due to the aggregation of nanoparticles. These changes provided selective responses to thion pesticides such as malathion, parathion, chlorpyrifos, and diazinon. The sensing assay could also differentiate between aliphatic and aromatic thions and discriminate amine-containing compounds from the other studied analytes. These finding results are clearly confirmed by both visual detection and multivariate statistical methods. The proposed sensor was successfully developed for the quantitative measurement of pesticide aerosols at a very low concentration. The limit of detection of this method determined for malathion, parathion, chlorpyrifos and diazinon were 58.0, 103.0, 81.0 and 117.0, respectively. Moreover, the array could be employed to simultaneously analyze four studied pesticides. The statistcal results confirmed that the method has high performance for concurrent detection of thions as a major air pollutant without the interference of other species.

Highlights

  • This study introduces an applicable colorimetric sensor array for the detection of pesticides in the vapor phase

  • NPs should be prepared by capping agents, which are different in size, surface electrical charge, and active site

  • In the proposed array, cysteamine is the small size of capping agents, expecting all pesticides to interact with these NPs

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Summary

Introduction

This study introduces an applicable colorimetric sensor array for the detection of pesticides in the vapor phase. The sensing assay could differentiate between aliphatic and aromatic thions and discriminate aminecontaining compounds from the other studied analytes These finding results are clearly confirmed by both visual detection and multivariate statistical methods. It is generally preferred to use gas chromatography coupled with a mass s­ pectrophotometer[5,6] or enzymebased electrochemical ­methods[7,8,9] to analyze pesticide pollution, which are suffering from the high cost of materials and instruments These detection methods are complexity in the detection procedure and needing standard working conditions or professional operators. Since Persaud and Dodd introduced the first E-nose to differentiate between wide types of o­ dors[12], different gas sensor arrays have been developed for evaluating the environmental ­quality[13,14] These devices have been fabricated by assembling. The environment humidity can strongly influence the response of these sensor t­ypes[19]

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