RT info:eu-repo/semantics/article
T1 Enose lab made with vacuum sampling: Quantitative applications
A1 Teixeira, Guilherme G.
A1 Peres, António M.
A1 Estevinho, Letícia
A1 Geraldes, Pedro
A1 García Cabezón, Ana Cristina
A1 Martín Pedrosa, Fernando
A1 Rodríguez Méndez, María Luz
A1 Dias, Luís G.
K1 Electronics - Dectectors
K1 Electrónica - Sensores
K1 Electronic nose
K1 Nariz electrónica
K1 MOS sensor array
K1 Conjunto de sensores MOS
K1 Quantitative analysis
K1 Análisis cuantitativo
K1 Ridge regression
K1 Regresión de cresta
K1 2203 Electrónica
K1 3312 Tecnología de Materiales
AB A lab-made electronic nose (Enose) with vacuum sampling and a sensor array, comprising nine metal oxide semiconductor Figaro gas sensors, was tested for the quantitative analysis of vapor–liquid equilibrium, described by Henry’s law, of aqueous solutions of organic compounds: three alcohols (i.e., methanol, ethanol, and propanol) or three chemical compounds with different functional groups (i.e., acetaldehyde, ethanol, and ethyl acetate). These solutions followed a fractional factorial design to guarantee orthogonal concentrations. Acceptable predictive ridge regression models were obtained for training, with RSEs lower than 7.9, R2 values greater than 0.95, slopes varying between 0.84 and 1.00, and intercept values close to the theoretical value of zero. Similar results were obtained for the test data set: RSEs lower than 8.0, R2 values greater than 0.96, slopes varying between 0.72 and 1.10, and some intercepts equal to the theoretical value of zero. In addition, the total mass of the organic compounds of each aqueous solution could be predicted, pointing out that the sensors measured mainly the global contents of the vapor phases. The satisfactory quantitative results allowed to conclude that the Enose could be a useful tool for the analysis of volatiles from aqueous solutions containing organic compounds for which Henry’s law is applicable.
PB MDPI
SN 2227-9040
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/59698
UL https://uvadoc.uva.es/handle/10324/59698
LA eng
NO Chemosensors, 2022, Vol. 10, Nº. 7, 261
NO Producción Científica
DS UVaDOC
RD 27-abr-2024