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功能化发光共价有机框架杂化材料作为黄龙病诊断的智能鼻

Functionalized luminescent covalent organic frameworks hybrid material as smart nose for the diagnosis of Huanglongbing.

机构信息

Shanghai Key Lab of Chemical Assessment and Sustainability, School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China.

School of Materials Science and Engineering, Liaocheng University, Liaocheng 252059, China.

出版信息

J Mater Chem B. 2022 Aug 4;10(30):5835-5841. doi: 10.1039/d2tb01185a.

DOI:10.1039/d2tb01185a
PMID:35876301
Abstract

Quantitative identification of several volatile organic compounds (VOCs) associated with the same disease provides a strong guarantee of the accurate analysis of the disease. Designing a single luminescent material to interact differently with multiple analytes can generate response patterns with remarkable diversity. Here, a highly green luminescent imine-based 2D COF (TtDFP) is designed and synthesized. TtDFP has ultrasensitive detection performance for trace water in organic solvent. Constructing a ratiometric fluorescence sensor can improve sensitivity for detecting analytes. To contrast the fluorescence signals of Eu and COFs in sensing assays, a simple postsynthetic modification (PSM) method is used to introduce Eu into TtDFP. The obtained red luminescent hybrid material Eu@TtDFP EVA film can be a fluorescent nose capable of "sniffing out" and quantifying VOCs (GA and PhA) associated with Huanglongbing (HLB, a devastating disease of citrus) at ppb levels. This work provides a technique of developing functionalized COF hybrid material to facilitate the distinction of various VOCs, which can also be extended to monitor the levels of other VOCs relevant to human health.

摘要

定量识别与同一种疾病相关的几种挥发性有机化合物 (VOCs) 为疾病的准确分析提供了强有力的保证。设计一种单一的发光材料与多种分析物以不同的方式相互作用,可以产生具有显著多样性的响应模式。在这里,设计并合成了一种高绿色发光的亚胺基二维 COF(TtDFP)。TtDFP 对有机溶剂中的痕量水具有超灵敏的检测性能。构建比率荧光传感器可以提高检测分析物的灵敏度。为了对比 Eu 和 COFs 在传感实验中的荧光信号,使用一种简单的后合成修饰 (PSM) 方法将 Eu 引入 TtDFP。所得的红色发光混合材料 Eu@TtDFP EVA 薄膜可以作为一个荧光鼻,能够以 ppb 级别的水平“嗅出”并定量与黄龙病(HLB,柑橘的毁灭性疾病)相关的 VOCs(GA 和 PhA)。这项工作提供了一种开发功能化 COF 混合材料的技术,以促进对各种 VOC 的区分,这也可以扩展到监测与人类健康相关的其他 VOC 的水平。

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