title: Discrimination of vinegars using a catalytic nanomaterials-based chemiluminescence sensor array.
abstract: Quality control of foods is important for both industrial and personal concerns. In the past decade, a variety of sensor techniques have been developed and various applications realized for the analysis of foods in both the liquid and gas phases. In this paper, we report a chemiluminescence (CL) sensor array based on nine catalytic nanomaterials for the discrimination of eight vinegars. CL response patterns can be obtained as 'fingerprints' for a given compound on the sensor array and then discriminated using linear discriminant analysis (LDA). The experiments demonstrate that the sensor array has excellent differentiability and reversibility.
authors.affiliation: Department of Chemistry and Chemical Engineering, Yangtze Normal University, Chongqing, Fuling, 408100, People's Republic of China.
authors.forename: Weifen
authors.initials: W
authors.lastname: Niu
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
mesh_terms: D019342:Acetic Acid / Q000032:analysis*; D002384:Catalysis; D008163:Luminescent Measurements / Q000295:instrumentation / Q000379:methods*; D049329:Nanostructures / Q000737:chemistry*
chemical_list: D019342:Acetic Acid
keywords: chemiluminescence; linear discriminant analysis (LDA); sensor array; vinegar