A single cataluminescence sensor based on spectral array and its use in the identification of vinegars.
The discrimination of complex mixtures, especially those with very similar compositions, remains a challenging part of chemical analysis. In this paper, a single cataluminescence (CTL) sensor constructed using MgO nanomaterials in a closed reaction cell (CRC) was used to identify vinegars. It may provide an archetype of this type of highly multicomponent system. By scanning the CTL spectra, which were distributed in 15 wavelengths during the reaction period, the spectral array patterns of the vinegars were obtained. These functioned as their fingerprints. The CTL signals of the array were then normalized and identified through linear discrimination analysis (LDA). Nine types and eight brands of vinegars and an additional series of artificial samples were tested; the new technique was found to distinguish between them very well. This single sensor demonstrated excellent promise for analysis of complex mixtures in real-world applications and may provide a novel method for identifying very similar complex analytes.
Environmental Science and Engineering Institute, Guangzhou University, 510006 Guangzhou, China.
Jiayi
J
Zeng
Environmental Science and Engineering Institute, Guangzhou University, 510006 Guangzhou, China. Electronic address: caoxiaoan2003@aliyun.com.
Xiaoan
X
Cao
Environmental Science and Engineering Institute, Guangzhou University, 510006 Guangzhou, China.
Yonghui
Y
Liu
Environmental Science and Engineering Institute, Guangzhou University, 510006 Guangzhou, China.
Jinglin
J
Chen
Environmental Science and Engineering Institute, Guangzhou University, 510006 Guangzhou, China.
Keke
K
Ren
D019342:Acetic Acid / Q000032:analysis*; D016002:Discriminant Analysis; D008163:Luminescent Measurements / Q000295:instrumentation; D008277:Magnesium Oxide / Q000737:chemistry; D049329:Nanostructures / Q000737:chemistry
D008277:Magnesium Oxide; D019342:Acetic Acid
Cataluminescence; Chemiluminescence; Sensor; Spectra; Vinegar