Polypyrrole-Tungsten Oxide Nanocomposite Fabrication through Laser-Based Techniques for an Ammonia Sensor: Achieving Room Temperature Operation.
Mihaela FilipescuStefan DobrescuAdrian Ionut BerceaAnca Florina BonciuValentina MarascuSimona BrajnicovAlexandra Palla-PapavluPublished in: Polymers (2023)
A highly sensitive ammonia-gas sensor based on a tungsten trioxide and polypyrrole (WO 3 /PPy) nanocomposite synthesized using pulsed-laser deposition (PLD) and matrix-assisted pulsed-laser evaporation (MAPLE) is presented in this study. The WO 3 /PPy nanocomposite is prepared through a layer-by-layer alternate deposition of the PPy thin layer on the WO 3 mesoporous layer. Extensive characterization using X-ray diffraction, FTIR and Raman spectroscopy, scanning electron microscopy, atomic force microscopy, and water contact angle are carried out on the as-prepared layers. The gas-sensing properties of the WO 3 /PPy nanocomposite layers are systematically investigated upon exposure to ammonia gas. The results demonstrate that the WO 3 /PPy nanocomposite sensor exhibits a lower detection limit, higher response, faster response/recovery time, and exceptional repeatability compared to the pure PPy and WO 3 counterparts. The significant improvement in gas-sensing properties observed in the WO 3 /PPy nanocomposite layer can be attributed to the distinctive interactions occurring at the p-n heterojunction established between the n-type WO 3 and p-type PPy. Additionally, the enhanced surface area of the WO 3 /PPy nanocomposite, achieved through the PLD and MAPLE synthesis techniques, contributes to its exceptional gas-sensing performance.
Keyphrases
- visible light
- room temperature
- reduced graphene oxide
- electron microscopy
- atomic force microscopy
- ionic liquid
- quantum dots
- high speed
- high resolution
- carbon nanotubes
- raman spectroscopy
- solid phase extraction
- carbon dioxide
- molecularly imprinted
- highly efficient
- magnetic resonance imaging
- magnetic resonance
- anaerobic digestion
- single molecule
- sensitive detection