使用 3D 打印随机微传感器快速筛选生物样本中左旋多巴和多巴胺的分子识别
Fast screening test for molecular recognition of levodopa and dopamine in biological samples using 3D printed stochastic microsensors.
机构信息
Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021, Bucharest-6, Romania.
Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Bucharest, Romania.
出版信息
J Pharm Biomed Anal. 2021 Oct 25;205:114292. doi: 10.1016/j.jpba.2021.114292. Epub 2021 Jul 31.
The simultaneous assay of levodopa and dopamine is essential for diagnosis and treatment of neurodegenerative diseases and brain cancer. 3D stochastic microsensors based on multi-walled carbon nanotubes (MWCNTs), gold nanoparticles (AuNPs) and 1-adamantyloleamide (AOA) was used for the simultaneous molecular recognition of levodopa and dopamine in biological samples (whole blood, urine, and brain tissue). The proposed 3D stochastic microsensors presented low limits of quantification, and high sensitivities. High selectivity was recorded versus neurotransmitters such as epinephrine, norepinephrine, serotonin, and glutamate. High recoveries were obtained for the assay of both levodopa and dopamine in whole blood, urine, and tumor tissue samples.
左旋多巴和多巴胺的同时检测对于神经退行性疾病和脑癌的诊断和治疗至关重要。基于多壁碳纳米管（MWCNTs）、金纳米粒子（AuNPs）和 1-金刚烷乙酰胺（AOA）的三维随机微传感器用于生物样品（全血、尿液和脑组织）中左旋多巴和多巴胺的同时分子识别。所提出的三维随机微传感器具有较低的定量限和较高的灵敏度。与儿茶酚胺、去甲肾上腺素、血清素和谷氨酸等神经递质相比，记录到了高选择性。在全血、尿液和肿瘤组织样品中，对左旋多巴和多巴胺的测定均获得了较高的回收率。
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