Zhang Zhenzhen, Liu Qian, Zhang Meng, You Fuheng, Hao Nan, Ding Caifeng, Wang Kun
Key Laboratory of Modern Agriculture Equipment and Technology, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, OE, School of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China.
J Hazard Mater. 2021 Aug 15;416:125988. doi: 10.1016/j.jhazmat.2021.125988. Epub 2021 May 3.
It is important to develop highly-active photoelectrochemical (PEC) materials and use novel sensing strategy for constructing high-PEC-performance sensors with multiplex detection abilities, owing to the simultaneous presence of multiple antibiotic residues in food. Herein, a bias-potential-based PEC aptasensor was prepared for the trace detection of dual antibiotic analytes, enrofloxacin (ENR) and ciprofloxacin (CIP), which often coexist in milk samples. Here, two materials were developed with excellent PEC performance: three-dimensional nitrogen-doped graphene-loaded copper indium disulfide (CuInS/3DNG) and Bi-doped black anatase titania nanoparticles decorated with reduced graphene oxide (Bi/B-TiO/rGO). By applying different bias potentials to the two materials near one ITO electrode, the cathodic current generated by CuInS/3DNH and the anodic current generated by Bi/B-TiO/rGO could be clearly distinguished without interfering with each other. Then, ENR and CIP aptamers were respectively modified onto the surface of CuInS/3DNH and Bi/B-TiO/rGO to construct a PEC aptasensor for the sensitive detection of ENR and CIP. Under optimal conditions, the proposed aptasensor exhibited wide linear ranges of ENR (0.01-10000 ng/mL) and CIP (0.01-1000 ng/mL), and relatively low detection limits of 3.3 pg/mL to ENR and CIP (S/N = 3). The aptasensor was successfully applied to the detection of ENR and CIP in milk samples.
由于食品中同时存在多种抗生素残留，开发高活性光电化学（PEC）材料并采用新型传感策略来构建具有多重检测能力的高PEC性能传感器具有重要意义。在此，制备了一种基于偏置电位的PEC适体传感器，用于痕量检测牛奶样品中经常共存的两种抗生素分析物，即恩诺沙星（ENR）和环丙沙星（CIP）。在此，开发了两种具有优异PEC性能的材料：三维氮掺杂石墨烯负载的二硫化铜铟（CuInS/3DNG）和还原氧化石墨烯修饰的铋掺杂黑色锐钛矿二氧化钛纳米颗粒（Bi/B-TiO/rGO）。通过在一个ITO电极附近对这两种材料施加不同的偏置电位，可以清晰地区分CuInS/3DNH产生的阴极电流和Bi/B-TiO/rGO产生的阳极电流，且互不干扰。然后，将ENR和CIP适体分别修饰在CuInS/3DNH和Bi/B-TiO/rGO表面，构建用于灵敏检测ENR和CIP的PEC适体传感器。在最佳条件下，所提出的适体传感器对ENR（0.01 - 10000 ng/mL）和CIP（0.01 - 1000 ng/mL）表现出宽线性范围，对ENR和CIP的检测限相对较低，分别为3.3 pg/mL（S/N = 3）。该适体传感器成功应用于牛奶样品中ENR和CIP的检测。
