2026-05-07T10:08:27Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/107682025-07-29T07:57:24Zcom_10259_3844com_10259_5086com_10259_2604col_10259_7686col_10259_5684
Romay García, Luis
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Pérez Estébanez, Martín
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600
0000-0003-1510-5422
Heras Vidaurre, Aránzazu
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600
0000-0002-5068-2164
Colina Santamaría, Álvaro
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600
0000-0003-0339-356X
start=2023; end=2024
2025-07-29T07:14:20Z
2025-07-29T07:14:20Z
2025-05-20
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
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.
Open Access funding provided thanks to the CRUE-CSIC agreement withElsevier B.V. Ministerio de Ciencia e Innovacion and Agencia Estatal de Investigacion (MCIN/AEI/10.13039/501100011033, PID2020-113154RB- C21, 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.
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eng
Universidad de Burgos
http://hdl.handle.net/10259/10194
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2017-2020/PID2020-113154RB-C21/ES/APLICACION DE NUEVOS MATERIALES Y DISPOSITIVOS PARA EC-SERS Y EC-SOERS/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2023-149188OB-I00/ES/MAS ALLA DE LA AMPLIFICACION DE LA DISPERSION RAMAN POR LA SUPERFICIE: MEJORA ELECTROQUIMICA DE LA SEÑAL RAMAN CON FINES ANALITICOS/
info:eu-repo/grantAgreement/Junta de Castilla y León//BU036P23//Desarrollo de técnicas analíticas in-situ y en condiciones operando para el estudio de electrocatalizadores para la conversión electroquímica de nitrato de amoniaco/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/RED2022-134120-T/ES/RED DE SENSORES Y BIOSENSORES ELECTROQUIMICOS: RETOS ANTE LA TRANSFORMACION DIGITAL E INDUSTRIAL/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
SERS
Spectroelectrochemistry
PARAFAC
Nicotine
E-liquid
Química analítica
Chemistry, Analytic
Electroquímica
Electrochemistry
Dataset of the work “Determination of nicotine in e-liquids by electrochemical generation of surface-enhanced Raman scattering substrates”
dataset
info:eu-repo/semantics/acceptedVersion
2025
LICENSE
license.txt
license.txt
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https://riubu.ubu.es/bitstream/10259/10768/3/license.txt
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CC-LICENSE
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ORIGINAL
readme.txt
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Dataset_Determination_nicotine_e-liquids_electrochemical_generation_2025.zip
Dataset_Determination_nicotine_e-liquids_electrochemical_generation_2025.zip
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10259/10768
oai:riubu.ubu.es:10259/10768
2025-07-29 09:57:24.554
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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