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电化学发光法准确探测痕量铀及其在体内毒代动力学研究中的应用。

Accurate biodetection of trace uranium by electrochemiluminescence and its application inIn vivo toxicokinetic dynamic research.

机构信息

School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, 210023, China.

School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, 210023, China.

出版信息

Biosens Bioelectron. 2022 Nov 1;215:114489. doi: 10.1016/j.bios.2022.114489. Epub 2022 Jun 24.

Abstract

Due to the technical barriers and complexity of biological detection equipment, the intensive study of the toxicokinetics of uranium has been limited. In other words, efficient biodetection system for accurately and conveniently uranium analysis is the core demand. In this study, an efficient monitoring system was developed for rapid visual detection of trace UO in biological samples by using electrochemiluminescence (ECL) imaging technology. In detail, poly[2-methoxy-5-(2-ethylhexyloxy)-1,4-(1-cyanovinylene-1,4-phenylene)] (CN-PPV) was prepared as polymer dots (Pdots), which give a low background signal and notable visual UO response in accurate monitoring as well as high selectivity. This sensor was successfully applied to visual UO detection in blood and urine in an oral uranyl metabolism rat model. The results showed that UO concentration in rat blood reached the maximum 30 min after administration and then decreased rapidly. Even after 48 h, trace UO could still be detected with the developed method, demonstrating its ultrahigh sensitivity and selectivity. This work is the first visualized UO detection via ECL in biological samples. This ECL method for accurate trace UO monitoring in biological samples indicates its wide field of application with good prospects such as nuclear forensics, evidence-based medicine, and toxicological research.

摘要

由于生物检测设备的技术障碍和复杂性,铀的毒代动力学研究受到限制。换句话说,高效的生物检测系统,用于准确、方便地分析铀,是核心需求。在这项研究中,我们开发了一种高效的监测系统,通过电化学发光(ECL)成像技术,快速可视化检测生物样品中的痕量 UO。具体而言,我们制备了聚[2-甲氧基-5-(2-乙基己氧基)-1,4-(1-氰基乙烯基-1,4-亚苯基)](CN-PPV)作为聚合物点(Pdots),在准确监测中,它的背景信号低,对 UO 的视觉响应显著,具有高选择性。该传感器成功应用于口服铀代谢大鼠模型中血液和尿液中的可视化 UO 检测。结果表明,大鼠血液中的 UO 浓度在给药后 30 分钟达到最大值,然后迅速下降。即使在 48 小时后,用开发的方法仍能检测到痕量 UO,证明其具有超高的灵敏度和选择性。这是首次在生物样品中通过 ECL 进行可视化 UO 检测。该 ECL 方法用于准确监测生物样品中的痕量 UO,表明其在核取证、循证医学和毒理学研究等领域具有广阔的应用前景。

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