Suppr超能文献

高选择性和强抗干扰主体客体配合物作为荧光探针,通过指示剂置换法检测金刚烷胺。

A Highly Selective and Strong Anti-Interference Host-Guest Complex as Fluorescent Probe for Detection of Amantadine by Indicator Displacement Assay.

机构信息

The State Key Laboratory of Refractories and Metallurgy, School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

出版信息

Molecules. 2018 Apr 18;23(4):947. doi: 10.3390/molecules23040947.

Abstract

Amantadine (AMA) and its derivatives are illicit veterinary drugs that are hard to detect at very low concentrations. Developing a fast, simple and highly sensitive method for the detection of AMA is highly in demand. Here, we designed an anthracyclic compound (ABAM) that binds to a cucurbit[7]uril (CB[7]) host with a high association constant of up to 8.7 × 10⁸ M. The host-guest complex was then used as a fluorescent probe for the detection of AMA. Competition by AMA for occupying the cavity of CB[7] allows ABAM to release from the CB[7]-ABAM complex, causing significant fluorescence quenching of ABAM (indicator displacement assay, IDA). The linear range of the method is from 0.000188 to 0.375 μg/mL, and the detection limit can be as low as 6.5 × 10 μg/mL (0.35 nM). Most importantly, due to the high binding affinity between CB[7] and ABAM, this fluorescence host-guest system shows great anti-interference capacity. Thus, we are able to accurately determine the concentration of AMA in various samples, including pharmaceutical formulations.

摘要

金刚烷胺(AMA)及其衍生物是难以检测到的非法兽医药物,其浓度非常低。因此,开发一种快速、简单且高灵敏度的 AMA 检测方法是非常有需求的。在这里,我们设计了一种蒽环化合物(ABAM),它与葫芦[7]脲(CB[7])主体具有高达 8.7×10⁸ M 的高结合常数。然后,将主体-客体配合物用作 AMA 的荧光探针。由于 AMA 竞争占据 CB[7]的腔,使 ABAM 从 CB[7]-ABAM 配合物中释放出来,导致 ABAM 的荧光显著猝灭(指示剂置换测定法,IDA)。该方法的线性范围为 0.000188 至 0.375 μg/mL,检测限低至 6.5×10 μg/mL(0.35 nM)。最重要的是,由于 CB[7]和 ABAM 之间的高结合亲和力,该荧光主体-客体体系具有很强的抗干扰能力。因此,我们能够准确地确定各种样品中 AMA 的浓度,包括药物制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f02/6017886/1bc276db22ff/molecules-23-00947-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验