College of Materials Science and Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China.
College of Mechanical and Electrical Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China.
Anal Chim Acta. 2023 Oct 23;1279:341823. doi: 10.1016/j.aca.2023.341823. Epub 2023 Sep 15.
In order to effectively monitor multiple catecholamine (CA) neurotransmitters with extreme similar structures, a rapid, sensitive and selective detection strategy has become an urgent problem to be solved. In this paper, a novel colorimetric sensors array based on CuNCs protected by various ligands such as tannic acid, ascorbic acid and polymethylacrylic acid (CuNCs@TA, CuNCs@AA and CuNCs@PMAA) was constructed. All of these CuNCs could mimic catechol oxidase to selective catalyze catechol-type analogues (such as CAs) to corresponding quinones along with color changes. Furthermore, experiments and theory calculations demonstrated that Cr-modification on the surface of CuNCs facilitated the steady-state kinetics of enzymatic activity. Based on these CuNCs as sensing probes, this sensors array can quickly detect different CAs (such as epinephrine (EP), including dopamine (DA), norepinephrine (NE) and l-dopa) with similar structures. When those analogues were added to the CuNC-based colorimetric array sensors, different absorbance changes were produced at 485 nm. Linear discriminant analysis (LDA) showed that the tri-probe colorimetric array sensors could recognize and distinguish these analogues, and corresponding binary and ternary mixtures could be well categorized. The value of Factor 1 of an array with varied CA concentrations had a good linear correlation, and the detection limit (LOD) was as low as 10∼10 mol/L. Four CA analogues in real samples were identified by CuNCs-based colorimetric array sensors. This work provides a fast and convenient experimental basis for monitoring the complex structure CAs neurotransmitters.
为了有效监测具有极度相似结构的多种儿茶酚胺（CA）神经递质，快速、灵敏和选择性的检测策略已成为亟待解决的问题。本文构建了一种基于单宁酸、抗坏血酸和聚甲基丙烯酸等不同配体保护的 CuNCs 的新型比色传感器阵列。所有这些 CuNCs 都可以模拟儿茶酚氧化酶，选择性地催化儿茶酚型类似物（如 CA）转化为相应的醌，同时发生颜色变化。此外，实验和理论计算表明，Cr 修饰在 CuNCs 表面有利于酶促动力学的稳态。基于这些作为传感探针的 CuNCs，该传感器阵列可以快速检测具有相似结构的不同 CA（如肾上腺素（EP），包括多巴胺（DA）、去甲肾上腺素（NE）和左旋多巴（l-dopa））。当将这些类似物加入到基于 CuNC 的比色阵列传感器中时，在 485nm 处会产生不同的吸光度变化。线性判别分析（LDA）表明，三探针比色阵列传感器可以识别和区分这些类似物，并且相应的二元和三元混合物可以很好地分类。具有不同 CA 浓度的阵列的因子 1 值具有良好的线性相关性，检测限（LOD）低至 10∼10mol/L。通过基于 CuNC 的比色阵列传感器鉴定了真实样品中的四种 CA 类似物。这项工作为监测复杂结构 CA 神经递质提供了快速便捷的实验基础。
