Dye-sensitized upconversion nanoprobes with ultra-high signal-to-background ratio for visual and sensitive detection of nerve agent mimics

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL Microchimica Acta Pub Date : 2025-01-13 DOI:10.1007/s00604-024-06942-9
Shushu Zhou, Zhenhua Liu, Xueyu Peng, Dailiang Zhang, Minghui Yang
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Abstract

An exciting upconversion nanoprobe conditioning strategy is proposed to improve the signal-to-background ratio (SBR) through a dye-sensitized strategy, in which the dye functions both as a recognition unit of the detection target and as a sensitizer to amplify the visible luminescence of the lanthanide-doped upconversion nanoparticles (UCNPs), instead of a quencher. The application of this dye-sensitized upconversion nanoprobe to the visual detection of nerve agent mimics diethoxy phosphatidylcholine (DCP) showed excellent detection performance, with up to 110-fold enhancement of the luminescence response of the probe in DCP solution and a detection limit as low as 2 nM. Finally, we performed visual detection of DCP solution and vapor by using test strips containing the probe. It is promising to apply the probe to monitor the leakage of DCP in the real environment.

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染料敏化上转换纳米探针,具有超高的信本比,用于神经毒剂模拟物的视觉和敏感检测
提出了一种激发上转换纳米探针调节策略,通过染料敏化策略提高信号背景比(SBR),其中染料既作为检测目标的识别单元,又作为敏化剂来放大镧系掺杂上转换纳米粒子(UCNPs)的可见光,而不是猝灭剂。将该染料敏化上转换纳米探针应用于神经毒剂模拟二氧基磷脂酰胆碱(DCP)的视觉检测,显示出优异的检测性能,探针在DCP溶液中的发光响应增强高达110倍,检测限低至2 nM。最后,我们使用含有探针的试纸进行DCP溶液和蒸汽的目视检测。将探头应用于实际环境中DCP的泄漏监测具有广阔的应用前景。图形抽象
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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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