Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China.
Anal Chem. 2022 Oct 11;94(40):13913-13920. doi: 10.1021/acs.analchem.2c02827. Epub 2022 Sep 27.
A signaling strategy can directly determine the analytical performance and application scope of photoelectrochemical (PEC) immunoassays, so it is of great significance to develop an effective signaling strategy. The electro-Fenton reaction has been extensively used to degrade organic pollutants, but it has not been applied to PEC immunoassays. Herein, we report a novel signaling strategy for a PEC immunoassay based on electro-Fenton degradation of liposomes (Lip) on a photoelectrode. Lip vesicles are coated on Au@TiO core-shell photoactive material, which can prevent ascorbic acid (AA) from scavenging photogenerated holes. In the presence of a target, the immunomagnetic bead labels are converted to Fe for electro-Fenton reaction, and hydroxyl radicals generated by the electro-Fenton reaction can degrade the Lip vesicles on the photoelectrode. Because of the degradation of Lip vesicles, photogenerated holes can be scavenged more effectively by AA, leading to an increase in photocurrent. Based on the electro-Fenton-regulated interface electron transfer, the sensitive "signal on" PEC immunoassay of a carcinoembryonic antigen is achieved, which features a dynamic range from 0.05 to 5 × 10 pg mL and a detection limit of 0.01 pg mL. Our work provides a novel and efficient PEC immunoassay platform by introducing the electro-Fenton reaction into PEC analysis.
一种信号策略可以直接决定光电化学(PEC)免疫分析的分析性能和应用范围,因此开发有效的信号策略具有重要意义。电芬顿反应已广泛用于降解有机污染物,但尚未应用于 PEC 免疫分析。在此,我们报告了一种基于电芬顿降解光电极上脂质体(Lip)的新型 PEC 免疫分析信号策略。脂质体囊泡涂覆在 Au@TiO 核壳光活性材料上,可防止抗坏血酸(AA)清除光生空穴。在存在靶标时,免疫磁珠标记物转化为 Fe 以进行电芬顿反应,电芬顿反应产生的羟基自由基可以降解光电极上的脂质体囊泡。由于脂质体囊泡的降解,AA 可以更有效地清除光生空穴,导致光电流增加。基于电芬顿调控的界面电子转移,实现了对癌胚抗原的灵敏“信号开启”PEC 免疫分析,其动态范围为 0.05 至 5×10 pg mL,检测限为 0.01 pg mL。通过将电芬顿反应引入 PEC 分析,我们为新型高效的 PEC 免疫分析平台提供了新的思路。