Plasmonic Nanostructures Grown from Reacting Droplet-In-Microwell Array on Flexible Films for Quantitative Surface-Enhanced Raman Spectroscopy in Plant Wearable In Situ Detection.
Chiranjeevi KanikeQiuyun LuHongyan WuLarry D UnsworthArnab AttaXuehua ZhangPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Plant wearable detection has garnered significant interest in advancing agricultural intelligence and promoting sustainable food production amidst the challenges of climate change. Accurately monitoring plant health and agrochemical residue levels necessitates qualities such as precision, affordability, simplicity, and noninvasiveness. Here, a novel attachable plasmonic film is introduced and designed for on-site detection of agrochemical residues utilizing surface-enhanced Raman spectroscopy (SERS). By functionalizing a thin polydimethylsiloxane film with silver nanoparticles via controlled droplet reactions in micro-well arrays, a plasmonic film is achieved that not only maintains optical transparency for precise analyte localization but also conforms closely to the plant surface, facilitating highly sensitive SERS measurements. The reliability of this film enables accurate identification and quantification of individual compounds and their mixtures, boasting an ultra-low detection limit ranging from 10 -16 to 10 -13 m, with mini mal relative standard deviation. To showcase its potential, on-field detection of pesticide residues on fruit surfaces is conducted using a handheld Raman spectrometer. This advancement in fabricating plasmonic nanostructures on flexible films holds promise for expanding SERS applications beyond plant monitoring, including personalized health monitoring, point-of-care diagnosis, wearable devices for human-machine interface, and on-site monitoring of environmental pollutants.
Keyphrases
- label free
- raman spectroscopy
- climate change
- high resolution
- room temperature
- loop mediated isothermal amplification
- real time pcr
- silver nanoparticles
- healthcare
- human health
- public health
- gold nanoparticles
- risk assessment
- sensitive detection
- high throughput
- single molecule
- endothelial cells
- heavy metals
- mental health
- cystic fibrosis
- machine learning
- escherichia coli
- single cell
- social media
- cell wall
- deep learning
- carbon nanotubes