Label-free and highly selective MOFs-based dopamine detection in urine of Parkinson’s patients

多巴胺 检出限 化学 选择性 帕金森病 荧光 环糊精 镧系元素 分子 纳米颗粒 色谱法 生物物理学 纳米技术 材料科学 生物化学 有机化学 疾病 神经科学 内科学 离子 催化作用 生物 量子力学 物理 医学
作者
Wenyue Xie,Yanying Yin,Ruoheng Gu,Jingyue Xu,Xing Su,Yang Wang,Ruina Liu,Xiaozhi Liu,Jianyong Huang
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:443: 136371-136371 被引量:27
标识
DOI:10.1016/j.cej.2022.136371
摘要

The amount of dopamine (DA) in the body is closely related to the occurrence and development of Parkinson's disease. However, DA detection in real body fluids is still challenging. Here, we developed a high-selectivity and high-sensitivity label-free lanthanide metal organic frameworks (MOFs) to monitor DA in urine samples from Parkinson’s patients. The fluorescent MOF Eu-α-cyclodextrin (CD), prepared by biomineralization under mild conditions, exhibited DA concentration-dependent fluorescence intensity via host–guest complexation. Furthermore, molecular dynamics (MD) simulation analyses quantitatively dissect thermodynamic interactions of cyclodextrin and guest molecules, which systematically reveals the specific recognition mechanism of cyclodextrin and dopamine molecules. A good response for DA in the range of 10-9 to 10-4 M and a limit of detection (LOD) of 0.65 nM were obtained, consistent with the detection range of DA in a variety of biological fluids. Because of the good anti-interference properties of this complex, visual test strips were prepared by the in-situ growth of Eu-αCD nanoparticles on a nitrocellulose (NC) membrane at room temperature, owing to the protein absorbability of NC membranes. The resultant test strips possess the potential for semiquantitative detection of DA by the naked eye. Moreover, we applied Eu-αCD nanoparticles to analyze clinical urine samples from Parkinson's patients, and achieved a low relative error compared with those of commercial HPLC methods. Our work offers an efficient strategy for visual and on-site detection of DA in the clinic, which can assist in early diagnosis of Parkinson's disease.
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