In-field sers-based pesticide detection method for crops and plants

Overview

This solution provides a facile, in-field method for ultrasensitive and selective detection of pesticides on crops and plants using Surface Enhanced Raman Scattering (SERS). The approach addresses a critical need in agriculture and food safety by enabling rapid, on-site identification of pesticide residues without requiring samples to be transported to a laboratory. By combining two complementary signal amplification strategies with the inherent molecular fingerprinting capability of Raman spectroscopy, the method delivers highly sensitive and selective pesticide detection directly on plant surfaces.

The technology is relevant to agricultural producers, food safety inspectors, regulatory agencies, and environmental monitoring organizations seeking reliable field-deployable tools for pesticide screening.

Technical specifications

• SERS-based detection produces a unique "fingerprint" spectrum for each pesticide, enabling both identification and quantification
• Gold nanoparticles (AuNPs) sprayed on crops and plants serve as the SERS substrate to enhance the Raman signal
• Silver enhancement reaction uses the AuNPs as a catalyst for silver deposition, generating additional "hot spots" that further amplify the SERS signal
• Dual signal amplification combines AuNP substrates with Ag deposition hot spots to achieve ultrasensitive detection
• Multi-pesticide detection capability is possible because each pesticide exhibits its own characteristic Raman peak
• Calibration curves can be prepared using the fingerprint Raman peak of target pesticides for quantitative measurement
• The method is designed to work with a palm-size portable Raman instrument for true field deployment

Technology readiness level

The core hypothesis has been validated through multiple peer-reviewed publications demonstrating SERS-based fingerprint detection of pesticides on fruits and plant leaves. Published work in Talanta, Sensors and Actuators B: Chemical, Frontiers in Chemistry, and Sensors supports the feasibility of the approach. The next phase of validation will involve spraying pesticides on crops and plants, applying AuNPs followed by silver enhancement solution, and establishing calibration curves for quantitative detection. This validation study is estimated to take approximately one year. The team is seeking a palm-size portable Raman instrument for field detection and funding for key personnel to advance the technology toward broader deployment.