In this study, a wet chemical method was used to produce iron-doped CuO nanostructures. Cyclic voltammetry was employed to record sensor signals in a saline phosphate buffer solution of pH 7.3. Iron added into CuO nanostructures contributed electrons to the conduction band of CuO, showing a well-resolved electro-oxidation peak for uric acid. The developed sensor exhibits a wide linear range of uric acid concentrations from 0.05 mM to 4 mM. The limit of detection for the sensor was found to be 0.01 mM. The sensor is highly selective, sensitive, and stable. The results of the in vitro analysis of uric acid motivated the researchers to measure the uric acid from the marine shellfish Perna viridis and razor clam Solen dactylus. The obtained results reveal that the proposed sensor will help to avoid the gout and could be used as an early safeguard of human health.

在这项研究中，湿化学方法被用来生产铁掺杂的CuO纳米结构。循环伏安法用于在pH 7.3的盐水磷酸盐缓冲溶液中记录传感器信号。添加到CuO纳米结构中的铁将电子贡献到CuO的导带，显示出一个很好的尿酸电氧化峰。开发的传感器显示出从0.05 mM到4 mM的宽范围的尿酸浓度线性范围。发现传感器的检测极限为0.01mM。该传感器具有高度选择性，灵敏性和稳定性。体外尿酸分析结果促使研究人员测量海洋贝类Perna viridis和剃刀蛤lam Solen dactylus中的尿酸。获得的结果表明，所提出的传感器将有助于避免痛风，并且可以用作人类健康的早期保障。