Surface-Enhanced Raman Sensing of Semi-Volatile Organic Compounds by Plasmonic Nanostructures.
Nguyễn Hoàng LySang Jun SonSoonmin JangCheol-Min LeeJung Il LeeSang-Woo JooPublished in: Nanomaterials (Basel, Switzerland) (2021)
Facile detection of indoor semi-volatile organic compounds (SVOCs) is a critical issue to raise an increasing concern to current researchers, since their emissions have impacted the health of humans, who spend much of their time indoors after the recent incessant COVID-19 pandemic outbreaks. Plasmonic nanomaterial platforms can utilize an electromagnetic field to induce significant Raman signal enhancements of vibrational spectra of pollutant molecules from localized hotspots. Surface-enhanced Raman scattering (SERS) sensing based on functional plasmonic nanostructures has currently emerged as a powerful analytical technique, which is widely adopted for the ultra-sensitive detection of SVOC molecules, including phthalates and polycyclic aromatic hydrocarbons (PAHs) from household chemicals in indoor environments. This concise topical review gives updated recent developments and trends in optical sensors of surface plasmon resonance (SPR) and SERS for effective sensing of SVOCs by functionalization of noble metal nanostructures. Specific features of plasmonic nanomaterials utilized in sensors are evaluated comparatively, including their various sizes and shapes. Novel aptasensors-assisted SERS technology and its potential application are also introduced for selective sensing. The current challenges and perspectives on SERS-based optical sensors using plasmonic nanomaterial platforms and aptasensors are discussed for applying indoor SVOC detection.
Keyphrases
- label free
- sensitive detection
- polycyclic aromatic hydrocarbons
- loop mediated isothermal amplification
- quantum dots
- energy transfer
- air pollution
- raman spectroscopy
- high resolution
- particulate matter
- single molecule
- gold nanoparticles
- low cost
- health risk
- public health
- healthcare
- heavy metals
- high speed
- mental health
- molecular dynamics simulations
- highly efficient
- risk assessment
- mass spectrometry