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A fluorescence array based on quantum dots was built for the detection of biogenic amines, including spermine, spermidine, and putrescine. A one-step synthetic strategy is adopted for the fabrication of carbon quantum dots using N-Acetyl-L-cysteine and citric acid. The carbon quantum dots show pH sensitivity. The carbon quantum dots were combined with fluorescamine and fluorescein to form a fluorescent array sensor. On the strength of the distinct fluorescence responses between the fluorescence sensing units and biogenic amines, fluorescence spectra were collected to build a fluorescence spectral dataset. The fluorescence spectra data were utilized as features for the three amine substances. To accurately evaluate the different amines, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed to process the spectral data. Qualitative and quantitative analysis of the three amines was successfully achieved. The quantitative range was 0.125 - 12.5 μM, with an extremely low detection limit of 0.125 μM. Furthermore, several supervised classification algorithms were applied to classify the spectral data. Some of the classification algorithms achieved accuracy rates of up to 100%. Focusing on spectral data analysis, this study provides an accurate, simple, and fast approach to amine detection.
Deng et al. (Tue,) studied this question.