Ultrasensitive discrimination of volatile organic compounds using a microfluidic silicon SERS artificial intelligence chip
Cao H, Shi H, Tang J, Xu Y, Ling Y, Lu X, Yang Y, Zhang X, Wang H. Ultrasensitive discrimination of volatile organic compounds using a microfluidic silicon SERS artificial intelligence chip. IScience 2023, 26: 107821. PMID: 37731613, PMCID: PMC10507157, DOI: 10.1016/j.isci.2023.107821.Peer-Reviewed Original ResearchSurface-enhanced Raman scatteringDiscrimination of volatile organic compoundsPpt levelTrace volatile organic compoundsZeolitic imidazolate framework-8Volatile organic compoundsOrganic compoundsSurface-enhanced Raman scattering measurementsTrace aldehydesGaseous analytesGaseous aldehydesCompound classesVOC classesRaman scatteringAldehydesSERS chipPreconcentrationGaseous sensorOrganic compound classesCompoundsSilicon wafersSpectral datasets
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