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Lu Z, Chen M, Liu T, Wu C, Sun M, Su G, Wang X, Wang Y, Yin H, Zhou X, Ye J, Shen Y, Rao H. Machine Learning System To Monitor Hg 2+ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor. ACS Appl Mater Interfaces 2023; 15:9800-9812. [PMID: 36750421 DOI: 10.1021/acsami.2c16565] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
An optical monitoring device combining a smartphone with a polychromatic ratiometric fluorescence-colorimetric paper sensor was developed to detect Hg2+ and S2- in water and seafood. This monitoring included the detection of food deterioration and was made possible by processing the sensing data with a machine learning algorithm. The polychromatic fluorescence sensor was composed of blue fluorescent carbon quantum dots (CDs) (BU-CDs) and green and red fluorescent CdZnTe quantum dots (QDs) (named GN-QDs and RD-QDs, respectively). The experimental results and density functional theory (DFT) prove that the incorporation of Zn can improve the stability and quantum yield of CdZnTe QDs. According to the dynamic and static quenching mechanisms, GN-QDs and RD-QDs were quenched by Hg2+ and sulfide, respectively, but BU-CDs were not sensitive to them. The system colors change from green to red to blue as the concentration of the two detectors rises, and the limits of detection (LOD) were 0.002 and 1.488 μM, respectively. Meanwhile, the probe was combined with the hydrogel to construct a visual sensing intelligent test strip, which realized the monitoring of food freshness. In addition, a smartphone device assisted by multiple machine learning methods was used to text Hg2+ and sulfide in real samples. It can be concluded that the fabulous stability, sensitivity, and practicality exhibited by this sensing mechanism give it unlimited potential for assessing the contents of toxic and hazardous substances Hg2+ and sulfide.
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Affiliation(s)
- Zhiwei Lu
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Maoting Chen
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Tao Liu
- College of Information Engineering, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Chun Wu
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Mengmeng Sun
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Gehong Su
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Xianxiang Wang
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Yanying Wang
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
| | - Huadong Yin
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Huimin Road, Wenjiang District, Chengdu 611130, P. R. China
| | - Xinguang Zhou
- Shenzhen NTEK Testing Technology Co., Ltd., Shenzhen 518000, P. R. China
| | - Jianshan Ye
- School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, P. R. China
| | - Yizhong Shen
- Engineering Research Center of Bio-Process, Ministry of Education, School of Food & Biological Engineering, Hefei University of Technology, Hefei 230009, P. R. China
| | - Hanbing Rao
- College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, P. R. China
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