2026-05-07T12:56:05Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/107682025-07-29T07:57:24Zcom_10259_3844com_10259_5086com_10259_2604col_10259_7686col_10259_5684

00925njm 22002777a 4500 dc Romay García, Luis author Pérez Estébanez, Martín author Heras Vidaurre, Aránzazu author Colina Santamaría, Álvaro author 2025-05-20 Quantitative methods using surface-enhanced Raman scattering (SERS) for analysis in complex matrices are very attractive due to the high sensitivity and selectivity of this technique. In this work, a novel time-resolved electrochemical surface-enhanced Raman scattering (TR-EC-SERS) analytical method has been developed for the determination of nicotine in e-liquids of electronic cigarettes. One of the main challenges of SERS is its inherent lack of reproducibility. Here, this limitation was mitigated by employing an electrochemical pre-treatment step to generate a homogeneous distribution of silver nanoparticles (Ag-NPs) on a silver screen-printed electrode. The enhanced Raman scattering induced by the Ag-NPs enabled the detection of nicotine at nanomolar levels. The high sensitivity of the method allowed the quantitative analysis of diluted e-liquid samples, mitigating potential interferences from other components present in these complex matrices. Moreover, TR-EC-SERS, coupled with parallel factor analysis (PARAFAC), demonstrated the capability of trilinear spectroelectrochemistry data not only to detect nicotine but also to identify potential interfering compounds without prior knowledge of their spectral signatures. This multivariate approach offers significant potential for the detection of outliers in complex samples. ROMAY, Luis, Perez-Estebanez, M., Heras, A., & Colina, A. (2025). Dataset of the work “Determination of nicotine in e-liquids by electrochemical generation of surface-enhanced Raman scattering substrates” [Data set]. Universidad de Burgos. https://doi.org/10.71486/QF7N-2B15 https://hdl.handle.net/10259/10768 10.71486/qf7n-2b15 SERS Spectroelectrochemistry PARAFAC Nicotine E-liquid Dataset of the work “Determination of nicotine in e-liquids by electrochemical generation of surface-enhanced Raman scattering substrates”