Novel Microneedle Patch-Based Surface-Enhanced Raman Spectroscopy Sensor for the Detection of Pesticide Residues

ACS Appl Mater Interfaces. 2023 Feb 1;15(4):4873-4882. doi: 10.1021/acsami.2c17954. Epub 2023 Jan 19.

Abstract

Pesticide residues are a global threat to human health, and conventional sensors fail to simultaneously detect pesticide residues on the surface and inside agricultural products. In this work, we present a new microneedle (MN) patch-based surface-enhanced Raman spectroscopy (SERS) sensor. The needles and the basement of MNs can simultaneously detect pesticide residues on the surface and inside agricultural products. The Ag nanoparticles and sodium hyaluronate/poly(vinyl alcohol) (HA/PVA) hydrogel used in this MN patch-based sensor efficiently amplify the Raman signals of the pesticide residues. In addition, the HA/PVA hydrogel can effectively and quickly collect the residues, allowing this sensor to detect pesticide residues more conveniently. Furthermore, the stepped structure of the MNs increases the sensor's surface area. Experimental results show that the sensor can detect thiram and thiabendazole (TBZ) pesticide residues with detection limits of 10-7 and 10-8 M, respectively. The detection process is minimally invasive and not harmful to agricultural products. The application of this MN patch-based SERS sensor can be extended to the safety and health monitoring of other plants and animals.

Keywords: Ag nanoparticles; HA/PVA hydrogel; SERS sensor; microneedle patch; pesticide residues.

MeSH terms

  • Animals
  • Humans
  • Metal Nanoparticles* / chemistry
  • Pesticide Residues* / analysis
  • Silver / chemistry
  • Spectrum Analysis, Raman / methods
  • Thiram / analysis

Substances

  • Pesticide Residues
  • Silver
  • Thiram