期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 772, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2021.144952
关键词
Merged MOFs; RF system; Smartphone-based; Logic gate devices; Phosphate
资金
- National Natural Science Foundation of China [NSFC 51672116, 52072164]
- Liaoning Province Science and Technology Planning Project [20180551203]
- LiaoNing Revitalization Talents Program [XLYC1902066]
The development of a new phosphate optical sensor is of great practical significance. A ratiometric fluorescent probe and a smartphone-integrated colorimetric test paper sensing platform were successfully fabricated for detecting and recognizing phosphate. This innovative sensing platform provides a new strategy for intelligent online identification of important targets in biological and environmental samples.
Phosphate plays an important role in a wide range of chemical and biological processes, so the development of a new phosphate optical sensor with high sensitivity, specificity and visual recognition function has important practical significance. Herein, a ratiometric fluorescent (RF) probe and a smartphone-integrated colorimetric test paper sensing platform for assay phosphate was fabricated using hybrid fluorescent UiO-66-NH2 and Eu3+@MOF-808 metal-organic frameworks. After continuous addition of phosphate, the blue fluorescence emission of UiO-66-NH2 and the red emission of Eu3+@MOF-808 were regularly enhanced and quenched respectively, and the fluorescence response of the detection platform to phosphate exhibited a dear color change process (red -> pink -> blue). More importantly, the probe solution and test paper of the integrated smartphone are converted to digital values through RGB channels and successfully used to visualize semi-quantitative recognition of phosphate. In addition, an RF probe and a smartphone integrated fluorescent test paper were developed separately to devise logic gate devices for detecting phosphate. The multifunctional ratio sensing platform integrated by the smartphone furnishes a new strategy and broad prospects for the intelligent online identification of important targets in biological samples and environmental samples. (C) 2021 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据