Decoding Fluorescence Excitation-Emission Matrices of Carbon Dots Aqueous Solutions with Convolutional Neural Networks to Create Multimodal Nanosensor of Metal Ions

IF 0.4 4区 物理与天体物理 Q4 PHYSICS, MULTIDISCIPLINARY
O. E. Sarmanova, G. N. Chugreeva, K. A. Laptinskiy, S. A. Burikov, S. A. Dolenko, T. A. Dolenko
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引用次数: 0

Abstract

In this study, to create a carbon dots-based multimodal nanosensor of metal ions, a new approach to solving the inverse problem of fluorescence spectroscopy is presented. The problem is to simultaneously determine the concentration of heavy metal ions Cr\({}^{3+}\), Ni\({}^{2+}\), Cu\({}^{2+}\), and nitrate anions NO\({}^{-}_{3}\) in water by carbon dots (CDs) fluorescence spectra. A method of spectral data augmentation is proposed. It is based on the generation of excitation-emission matrices of CDs fluorescence from the noise vector using variational autoencoders and further determination of ion concentration corresponding to the generated matrices with convolutional neural networks. Implementing the proposed approach allowed reducing the mean absolute error in determining the concentration of ions by 60\(\%\) for Cr\({}^{3+}\), by 41\(\%\) for Ni\({}^{2+}\), by 62\(\%\) for Cu\({}^{2+}\), and by 48\(\%\) for NO\({}^{-}_{3}\).

Abstract Image

用卷积神经网络解码碳点水溶液的荧光激发-发射矩阵,创建金属离子多模态纳米传感器
摘要 在本研究中,为了创建基于碳点的金属离子多模态纳米传感器,提出了一种解决荧光光谱逆问题的新方法。问题是通过碳点荧光光谱同时测定水中重金属离子 Cr\({}^{3+}\), Ni\({}^{2+}\), Cu\({}^{2+}\) 和硝酸根阴离子 NO\({}^{-}_{3}\) 的浓度。本文提出了一种光谱数据增强方法。该方法的基础是利用变异自动编码器从噪声矢量中生成碳点荧光的激发-发射矩阵,并利用卷积神经网络进一步确定与生成的矩阵相对应的离子浓度。采用所提出的方法可以将确定离子浓度的平均绝对误差减少60(\%)(对于Cr({}^{3+}\)),减少41(\%)(对于Ni({}^{2+}\)),减少62(\%)(对于Cu({}^{2+}\)),减少48(\%)(对于NO({}^{-}_{3}\))。
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来源期刊
Moscow University Physics Bulletin
Moscow University Physics Bulletin PHYSICS, MULTIDISCIPLINARY-
CiteScore
0.70
自引率
0.00%
发文量
129
审稿时长
6-12 weeks
期刊介绍: Moscow University Physics Bulletin publishes original papers (reviews, articles, and brief communications) in the following fields of experimental and theoretical physics: theoretical and mathematical physics; physics of nuclei and elementary particles; radiophysics, electronics, acoustics; optics and spectroscopy; laser physics; condensed matter physics; chemical physics, physical kinetics, and plasma physics; biophysics and medical physics; astronomy, astrophysics, and cosmology; physics of the Earth’s, atmosphere, and hydrosphere.
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