Geană E-I, et al.Microchemical Journal, 2020, 159, 105451.
This study explores the use of Sodium decane-1-sulfonate (DSA) as a dopant in electrochemical sensors for the discrimination and classification of white wines based on varietal origin. The research utilized a sensor array comprising screen-printed carbon electrodes (SPCEs) modified with nanomaterials-single-walled carbon nanotubes (SWCNT), multi-walled carbon nanotubes (MWCNT), and polypyrrole doped with DSA (Ppy/DSA/SPCE). These sensors, in conjunction with chemometric techniques such as principal component analysis (PCA), hierarchical cluster analysis (HCA), and linear discriminant analysis (LDA), were employed to assess their efficacy in wine differentiation.
DSA was employed as a dopant in the electrochemical deposition of polypyrrole on SPCEs, providing enhanced electrochemical properties to the sensor. The Ppy/DSA/SPCE displayed unique voltammetric responses attributed to the interaction of DSA with wine's redox-active species. When compared to SWCNT/SPCE and MWCNT/SPCE, the Ppy/DSA/SPCE showed a discrimination capability of 78.17%, demonstrating its potential in wine analysis applications.
Cyclic voltammetry was performed at fixed potentials to capture the voltammetric signals. Notably, the sensors array combining all modified SPCEs achieved an overall accuracy of 72% in wine classification. The LDA model effectively identified Sauvignon Blanc (100%), Columna (91.67%), and Riesling Italian (80%) with high precision. These results highlight the capacity of DSA-doped polypyrrole to function as a conductive polymer matrix, promoting selective interactions with analytes and enhancing the sensitivity and specificity of the sensor array.
In conclusion, Sodium decane-1-sulfonate proves to be a valuable component in designing electrochemical sensors for rapid and reliable wine varietal authentication. Its incorporation into sensor platforms offers new opportunities for the development of efficient and cost-effective analytical tools in food quality control.