Green-synthesized silver nanoparticle-modulated polydiacetylene-based colorimetric pesticide sensor

Recently, pesticide contamination has become a major threat to public health and ecosystems owing to its widespread and uncontrolled use in agriculture. Herein, we introduce a paper-based colorimetric sensing platform using polydiacetylene (PDA) that can be used as an efficient and cost-effective method for detecting pesticide residues. The sensor is designed on a nitrate cellulose membrane using 10,12-henicosadiynoic acid (HCDA), monomer of PDA, green-synthesized silver nanoparticles (AgNPs) and saponite clay (SC). The AgNPs were synthesized from <i>Araucaria heterophylla</i> leaf extract following a green synthesis protocol. The synthesized AgNPs were characterized through UV-Vis absorption, FESEM, TEM, DLS, XRD and FTIR spectroscopy. Moreover, the PDA phase change in the presence of AgNPs was optimized by varying AgNP concentration. The designed paper sensors responded to three commonly used pesticides, namely, cypermethrin (P<sub>1</sub>), pretilachlor (P<sub>2</sub>) and chlorpyriphos/cypermethrin (P<sub>3</sub>). It was found that the detection of different pesticides in different concentration regions can be achieved by varying AgNP to HCDA ratios. To determine pesticide concentration from the colorimetric response, a MATLAB-based program was developed for analyzing the RGB values corresponding to colour changes before and after exposure. The proposed sensor is similar to litmus paper in which sensing is achieved based on the visible colour change upon pesticide exposure. Therefore, it is economical and easy to use. This pesticide-detecting sensor provides measurements with high accuracy in a wide range of ambient conditions and is therefore a perfect portable system for point-of-care/on-site detection of pesticide residues.

Authors

Institutions

Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra01243k
Citations
6
Primary Topic
Polydiacetylene-based materials and applications
Type
article
Field-Weighted Citation Impact
5.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green-synthesized silver nanoparticle-modulated polydiacetylene-based colorimetric pesticide sensor

Abdullah N. Alodhayb, Syed Arshad Hussain, Hemant Agarwal, Khuloud A. Alibrahim et al.
6 citations
RSC Advances
Polydiacetylene-based materials and applications
5.62
article

Green-synthesized silver nanoparticle-modulated polydiacetylene-based colorimetric pesticide sensor

Abdullah N. Alodhayb, Syed Arshad Hussain, Hemant Agarwal, Khuloud A. Alibrahim, Shazidul Hussain, Dipan Sarma, Debajyoti Bhattacharjee, Sangita Majumder
article en
6 citations

Abstract

Recently, pesticide contamination has become a major threat to public health and ecosystems owing to its widespread and uncontrolled use in agriculture. Herein, we introduce a paper-based colorimetric sensing platform using polydiacetylene (PDA) that can be used as an efficient and cost-effective method for detecting pesticide residues. The sensor is designed on a nitrate cellulose membrane using 10,12-henicosadiynoic acid (HCDA), monomer of PDA, green-synthesized silver nanoparticles (AgNPs) and saponite clay (SC). The AgNPs were synthesized from <i>Araucaria heterophylla</i> leaf extract following a green synthesis protocol. The synthesized AgNPs were characterized through UV-Vis absorption, FESEM, TEM, DLS, XRD and FTIR spectroscopy. Moreover, the PDA phase change in the presence of AgNPs was optimized by varying AgNP concentration. The designed paper sensors responded to three commonly used pesticides, namely, cypermethrin (P<sub>1</sub>), pretilachlor (P<sub>2</sub>) and chlorpyriphos/cypermethrin (P<sub>3</sub>). It was found that the detection of different pesticides in different concentration regions can be achieved by varying AgNP to HCDA ratios. To determine pesticide concentration from the colorimetric response, a MATLAB-based program was developed for analyzing the RGB values corresponding to colour changes before and after exposure. The proposed sensor is similar to litmus paper in which sensing is achieved based on the visible colour change upon pesticide exposure. Therefore, it is economical and easy to use. This pesticide-detecting sensor provides measurements with high accuracy in a wide range of ambient conditions and is therefore a perfect portable system for point-of-care/on-site detection of pesticide residues.

RSC AdvancesVol. 15(23)
Princess Nourah bint Abdulrahman University (SA), King Saud University (SA), Tripura University (IN), Universitat Politècnica de Catalunya (ES)
Department of Science and Technology, Ministry of Science and Technology, India, Council of Scientific and Industrial Research, India, University Grants Commission, King Saud University, Princess Nourah Bint Abdulrahman University, Deanship of Scientific Research, King Saud University
Zero hunger
Openalex Percentile: Top 4%
Polydiacetylene-based materials and applications
5.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.