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来自薏苡仁的高荧光碳点用于测定呋喃唑酮和温度。

Highly fluorescent carbon dots from coix seed for the determination of furazolidone and temperature.

作者信息

Zhang Shen, Wang Zixin, Pang Yating, Jing Zerong, Li Zheng, Peng Fangfang, Zhao Yiyan, Guo Yuyu

机构信息

Department of Chemistry, Taiyuan Normal University, Jinzhong 030619, PR China.

Department of Chemistry, Taiyuan Normal University, Jinzhong 030619, PR China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Nov 5;260:119969. doi: 10.1016/j.saa.2021.119969. Epub 2021 May 19.

DOI:10.1016/j.saa.2021.119969
PMID:34051636
Abstract

In this work, blue emission fluorescent carbon dots (CDs) were fabricated by using the hydrothermal strategy from coix seed for the first time. We found that the prepared CDs possessed many excellent characteristics including excitation-dependent properties, good solubility and strong photostability. The optimal excitation and emission wavelength of CDs were 363 and 435 nm, respectively. Unbelievably, the fluorescence of CDs was selectively and effectively quenched with the addition of furazolidone (Fu). The quenching mechanisms might be assumed to the static quenching and inner filter effect (IFE). Based on this principle, a novel fluorescence probe was developed for the determination of Fu. At the same time, the proposed probe showed excellent sensitivity and selectivity towards Fu with a wide linear range from 0.5 to 100 μM, and the corresponding detection limit was 0.096 μM. Moreover, the CDs also could be applied for the sensing of temperature. The practical application of the CDs for Fu detection in real samples was also confirmed with the satisfactory recoveries changing from 96.6% to 108.5%, which provided huge possibility in the field of medical analysis.

摘要

在这项工作中,首次采用水热法以薏苡仁为原料制备了蓝色发射荧光碳点(CDs)。我们发现所制备的CDs具有许多优异的特性,包括激发依赖性、良好的溶解性和较强的光稳定性。CDs的最佳激发波长和发射波长分别为363和435nm。令人难以置信的是,加入呋喃唑酮(Fu)后,CDs的荧光被选择性地有效猝灭。猝灭机制可能是静态猝灭和内滤效应(IFE)。基于这一原理,开发了一种用于测定Fu的新型荧光探针。同时,该探针对Fu表现出优异的灵敏度和选择性,线性范围为0.5至100μM,相应的检测限为0.096μM。此外,CDs还可用于温度传感。CDs在实际样品中对Fu检测的实际应用也得到了证实,回收率令人满意,在96.6%至108.5%之间,这在医学分析领域提供了巨大的可能性。

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