摘要
A cross-reactive Au NPs/AuAg NCs colorimetric sensor array was developed. • Seven sulfur-containing analytes were discriminated, and GSH was quantified. • Blind-test accuracies reached 93.8% for Baijiu and 97.6% for distilled liquors. • Sensor responses were associated with sensory differences among Baijiu samples. Sulfur-containing compounds are important aroma contributors in Baijiu because of their low odor thresholds and strong sensory effects. A cross-reactive colorimetric sensor array based on positively charged Au nanoparticles and negatively charged AuAg nanoclusters was developed for sulfur-containing analyte discrimination and Baijiu classification. Analyte-induced perturbation of the nanoparticle–nanocluster assemblies generated differential optical fingerprints across four sensing elements. Combined with pattern-recognition analysis, the array discriminated seven sulfur-containing analytes at different concentrations and quantified glutathione over 0.1–50 mM. It also classified 16 commercial Baijiu samples and distinguished Baijiu from five other distilled liquors and 50% ethanol. Blind-sample prediction accuracies reached 93.8% for the 16 Baijiu categories and 97.6% for the 21 distilled-liquor categories. Correlation analysis showed associations between selected sensing channels and Baijiu sensory attributes. The proposed array provides a rapid optical fingerprinting approach for Baijiu differentiation and authenticity-related screening.
危险品化学品经营许可证(带存储)