Paper
27 August 2024 pH-sensitive quantum dots-based fluorescent array for detection of biogenic amines
Chenliang Deng, Xianhua Zhong, Ling Jiang, Jia Yang
Author Affiliations +
Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 1325202 (2024) https://doi.org/10.1117/12.3044159
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chenliang Deng, Xianhua Zhong, Ling Jiang, and Jia Yang "pH-sensitive quantum dots-based fluorescent array for detection of biogenic amines", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 1325202 (27 August 2024); https://doi.org/10.1117/12.3044159
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KEYWORDS
Barium

Fluorescence

Principal component analysis

Quantum dots

Quantum sensors

Carbon

Quantum detection

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