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利用人工神经网络开发用于液体介质 pH 值和温度的荧光碳纳米传感器。

Development of the fluorescent carbon nanosensor for pH and temperature of liquid media with artificial neural networks.

机构信息

Department of Physics, Lomonosov Moscow State University, Moscow 119991, Russia.

Department of Physics, Lomonosov Moscow State University, Moscow 119991, Russia; Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991, Russia.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Sep 5;258:119861. doi: 10.1016/j.saa.2021.119861. Epub 2021 Apr 21.

DOI:10.1016/j.saa.2021.119861
PMID:33957451
Abstract

The present study is devoted to the creation of optical nanosensors for pH and temperature of liquid media based on carbon dots (CD) prepared via hydrothermal synthesis. The application of artificial neural networks to the CD fluorescence spectra database provided simultaneous determination of pH and ambient temperature values with an accuracy of 0.005 pH units and 0.67 °C, respectively. The obtained results are unique since they indicate the possibility of creating a multifunctional CD-based nanosensor that operates in a wide temperature range (22-81 °C) and provides an accuracy of pH determination exceeding the accuracy of nanoscale analogs by an order of magnitude.

摘要

本研究致力于创建基于水热合成法制备的碳点(CD)的用于液体介质 pH 值和温度的光学纳米传感器。将人工神经网络应用于 CD 荧光光谱数据库,实现了 pH 值和环境温度值的同时测定,精度分别达到 0.005 pH 单位和 0.67°C。所得结果是独特的,因为它们表明有可能创建一种多功能的基于 CD 的纳米传感器,该传感器在很宽的温度范围内(22-81°C)运行,并提供超过纳米级类似物一个数量级的 pH 值测定精度。

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