RT info:eu-repo/semantics/article
T1 Determination of nicotine in e-liquids by electrochemical generation of surface-enhanced Raman scattering substrates
A1 Romay, L.
A1 Pérez Estébanez, Martín
A1 Heras Vidaurre, Aránzazu
A1 Colina Santamaría, Álvaro
K1 SERS
K1 Spectroelectrochemistry
K1 PARAFAC
K1 Nicotine
K1 E-liquid
K1 Química analítica
K1 Chemistry, Analytic
K1 Electroquímica
K1 Electrochemistry
AB Quantitative methods using surface-enhanced Raman scattering (SERS) for analysis in complex matrices are veryattractive 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 thedetermination of nicotine in e-liquids of electronic cigarettes. One of the main challenges of SERS is its inherentlack of reproducibility. Here, this limitation was mitigated by employing an electrochemical pre-treatment stepto generate a homogeneous distribution of silver nanoparticles (Ag-NPs) on a silver screen-printed electrode. Theenhanced Raman scattering induced by the Ag-NPs enabled the detection of nicotine at nanomolar levels. Thehigh sensitivity of the method allowed the quantitative analysis of diluted e-liquid samples, mitigating potentialinterferences from other components present in these complex matrices. Moreover, TR-EC-SERS, coupled withparallel factor analysis (PARAFAC), demonstrated the capability of trilinear spectroelectrochemistry data notonly to detect nicotine but also to identify potential interfering compounds without prior knowledge of theirspectral signatures. This multivariate approach offers significant potential for the detection of outliers in complexsamples.
PB Elsevier
SN 0026-265X
YR 2025
FD 2025-01
LK http://hdl.handle.net/10259/10194
UL http://hdl.handle.net/10259/10194
LA eng
NO Ministerio de Ciencia e Innovacion ´ and Agencia Estatal de Investigacion ´ (MCIN/AEI/10.13039/501100011033, PID2020-113154RBC21, PID2023-149188OB-I00) and FEDER, UE, Junta de Castilla y Leon ´ and European Regional Development Fund (Grant number: BU036P23), Ministerio de Ciencia, Innovacion ´ y Universidades (RED2022-134120-T) are gratefully acknowledged for funding this work. L.R. acknowledges Ministerio de Ciencia e Innovacion ´ and Agencia Estatal de Investigacion ´ (MCIN/AEI/ 10.13039/ 501100011033, PIS2020-113154 GB-C21) for the predoctoral contract
DS Repositorio Institucional de la Universidad de Burgos
RD 22-feb-2025