目前的尿酸检测方法缺乏即时护理应用所需的灵敏度和选择性。等离子体传感器,虽然有希望,要求改进以提高性能。这项工作介绍了一种基于表面等离子体共振的生物功能化传感器,以量化生理相关浓度范围内的尿酸。该传感器使用1-乙基-3-(3-二甲基氨基丙基)碳二亚胺(EDC)和N-羟基琥珀酰亚胺(NHS)交联剂共价固定尿酸酶,确保酶在传感器探针上的持久粘附。通过原子力显微镜和傅里叶变换红外光谱表征验证了表面变化。Langmuir吸附等温线模型阐明了结合动力学,显示传感器结合亲和力为298.83(mg/dL)-1,最大吸附能力约为1.0751°。生物功能化传感器的灵敏度为0.0755°/(mg/dL),线性相关系数为0.8313,检出限为0.095mg/dL。针对葡萄糖等潜在竞争性干扰物的选择性测试,抗坏血酸,尿素,D-胱氨酸,肌酐在相同浓度下,尿酸的共振角位移为1.1135°,而干扰物的共振角位移为0.1853°。重要的是,在0.5mg/dL的低尿酸浓度下,观察到0.3706°的明显偏移,将其与所有典型干扰物样品在较高浓度时注意到的较低值分开。尿酸酶酶显着增强了用于尿酸检测的等离子体传感器,展示了光学原理和生物识别元素的无缝集成。这些传感器有望成为临床和即时护理环境中的重要工具,提供生物传感技术的变革潜力和彻底改变生物医学医疗保健成果的潜力。
Current uric acid detection methodologies lack the requisite sensitivity and selectivity for point-of-care applications. Plasmonic sensors, while promising, demand refinement for improved performance. This work introduces a biofunctionalized sensor predicated on surface plasmon resonance to quantify uric acid within physiologically relevant concentration ranges. The sensor employs the covalent immobilization of uricase enzyme using 1-Ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDC) and N-Hydroxysuccinimide (NHS) crosslinking agents, ensuring the durable adherence of the enzyme onto the sensor probe. Characterization through atomic force microscopy and Fourier transform infrared spectroscopy validate surface alterations. The Langmuir adsorption isotherm model elucidates binding kinetics, revealing a sensor binding affinity of 298.83 (mg/dL)-1, and a maximum adsorption capacity of approximately 1.0751°. The biofunctionalized sensor exhibits a sensitivity of 0.0755°/(mg/dL), a linear correlation coefficient of 0.8313, and a limit of detection of 0.095 mg/dL. Selectivity tests against potentially competing interferents like glucose, ascorbic acid, urea, D-cystine, and creatinine showcase a significant resonance angle shift of 1.1135° for uric acid compared to 0.1853° for interferents at the same concentration. Significantly, at a low uric acid concentration of 0.5 mg/dL, a distinct shift of 0.3706° was observed, setting it apart from the lower values noticed at higher concentrations for all typical interferent samples. The uricase enzyme significantly enhances plasmonic sensors for uric acid detection, showcasing a seamless integration of optical principles and biological recognition elements. These sensors hold promise as vital tools in clinical and point-of-care settings, offering transformative potential in biosensing technologies and the potential to revolutionize healthcare outcomes in biomedicine.