Faculty of Science and Nanoscience & Nanotechnology Graduate Program, King Mongkut's University of Technology, Thonburi 10140, Thailand.
Pilot Plant Research and Development Laboratory, King Mongkut's University of Technology, Thonburi 10150, Thailand.
ACS Biomater Sci Eng. 2020 Oct 12;6(10):5895-5910. doi: 10.1021/acsbiomaterials.0c00864. Epub 2020 Sep 8.
The stress-free electrochemical-based sensor equipped with the Internet of Things (IoT) device for salivary creatinine determination was fabricated for point-of-care (POC) diagnosis of advanced kidney disorders. Beneficial and real-time data readout for preventive diagnosis and clinical evaluation of chronic kidney diseases (CKD) at different stages and renal dysfunction can be acquired by noninvasive monitoring of the creatinine amounts in saliva. The direct determination and real-time response of salivary creatinine can be attained using the supercapacitor-based sensor of cuprous oxide nanoparticles entrapped by the synergistically cross-linked poly(acrylic acid) (PAA) gel-Cu and Nafion perfluorinated membrane fabricated on a screen-printed carbon electrode (SPCE). Here, we demonstrated that the degree of renal illness could be evaluated using salivary creatinine detection via a catalytic mechanism as Cu ions bound irreversibly with C═N functional groups of creatinine. Besides, the computer simulation was performed to study the interaction between 5 functional groups of creatinine toward acrylic gel-Cu The linear increment between the obtained anodic currents and creatinine concentrations varying from 1 to 2000 μM was accomplished with a selectivity efficiency of 97.2%. Nyquist plots obtained by electrochemical impedance spectroscopy (EIS) validated that the increment of impedance changes strongly dependent on the amount of detected creatinine both in artificial and in human saliva. The porosity features were observed in this interconnected nanocomposite and correlated with Nafion doping. Successively, the friendly portable device was invented and integrated saliva sampling with miniaturized, low-cost IoT electronics of world-location mapping, representing the first remote medical sensor focusing on salivary creatinine sensing.
用于唾液肌酸酐测定的基于物联网 (IoT) 设备的无应激电化学传感器用于即时 (POC) 诊断晚期肾脏疾病。通过非侵入性监测唾液中肌酸酐的含量,可以获得有益的实时数据读取,用于不同阶段的慢性肾脏病 (CKD) 和肾功能障碍的预防性诊断和临床评估。通过在丝网印刷碳电极 (SPCE) 上制造的协同交联聚 (丙烯酸) (PAA) 凝胶-Cu 和 Nafion 全氟化物膜中包埋的氧化亚铜纳米粒子的超级电容器传感器,可以直接测定和实时响应唾液中的肌酸酐。在这里,我们证明可以通过催化机制评估唾液肌酸酐检测来评估肾脏疾病的程度,因为 Cu 离子与肌酸酐的 C═N 官能团不可逆结合。此外,还进行了计算机模拟以研究肌酸酐的 5 个官能团与丙烯凝胶-Cu 的相互作用。获得的阳极电流与浓度在 1 至 2000 μM 之间呈线性递增,选择性效率为 97.2%。电化学阻抗谱 (EIS) 获得的奈奎斯特图验证了阻抗变化的增量强烈依赖于检测到的肌酸酐的数量,无论是在人工唾液还是在人唾液中。在这个相互连接的纳米复合材料中观察到了多孔性特征,并与 Nafion 掺杂相关。随后,发明了友好的便携式设备,并将唾液采样与具有世界定位映射的小型化、低成本物联网电子设备集成在一起,代表了第一个专注于唾液肌酸酐感应的远程医疗传感器。