Ding Lijun, Wang Yuan, Pu Lianxi, Wang Tianshuo, Liu Yuanhao, Zhou Xilong, Wang Kun
School of Agricultural Engineering, Jiangsu University, Zhenjiang, 212013, PR China; Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China.
School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, PR China.
Anal Chim Acta. 2025 Feb 1;1337:343545. doi: 10.1016/j.aca.2024.343545. Epub 2024 Dec 12.
The excessive application of enrofloxacin (ENR) results in residues contaminating both food and the environment. Consequently, developing robust analytical methods for the selective detection of ENR is crucial. The photoelectrochemical (PEC) sensor has emerged as a highly sensitive analytical technique that has seen rapid development in recent years. The functioning of a PEC sensor relies on the reducing capacity of photogenerated electrons and the oxidizing capacity of photogenerated holes produced by the photoactive material. BiOBr demonstrates its potential in electrochemical detection, but faces inherent challenges, including swift electron-hole recombination and slow carrier migration, which hinder its catalytic activity.
In this study, we synthesized carbon nitride quantum dots doped with BiOBr (CN QDs/BiOBr) through an in situ growth method, utilizing this composite as a photoactive material. The incorporation of CN QDs leads to a 17-fold increase in photocurrent compared to BiOBr alone. This enhancement is attributed not only to the improved separation of electron-hole pairs, facilitated by the CN QDs, which boosts photocatalytic activity, but also to the enlarged range of visible light absorption. We employed an ENR-specific aptamer as the recognition element, resulting in the construction of a high-performance photoelectrochemical aptasensor for ENR detection. The sensor exhibited a linear detection range of 1 × 10 to 1 × 10 ng mL and a detection limit of 0.033 ng mL. The impressive performance of the CN QDs/BiOBr sensing platform demonstrates its potential application in detecting ENR concentrations in food, biomedical contexts, and environmental analyses.
Benefiting from the sensitization of CN QDs, CN QDs/BiOBr exhibited 17-fold PEC signal of pure BiOBr. The presence of quantum dots in CN QDs/BiOBr facilitates rapid separation of electron-hole pairs, leading to significantly enhanced PEC activity and improved detection performance for ENR. This research convincingly illustrates that integrating CN QDs with BiOBr nanosheets could pave the way for designing more efficient bismuth-based semiconductor photoactive materials for sensing applications.
恩诺沙星（ENR）的过量使用导致其残留污染食品和环境。因此，开发用于选择性检测ENR的强大分析方法至关重要。光电化学（PEC）传感器已成为近年来快速发展的高灵敏度分析技术。PEC传感器的功能依赖于光活性材料产生的光生电子的还原能力和光生空穴的氧化能力。BiOBr在电化学检测中显示出潜力，但面临着固有的挑战，包括快速的电子-空穴复合和缓慢的载流子迁移，这阻碍了其催化活性。
在本研究中，我们通过原位生长法合成了掺杂有BiOBr的氮化碳量子点（CN QDs/BiOBr），并将这种复合材料用作光活性材料。与单独的BiOBr相比，CN QDs的掺入使光电流增加了17倍。这种增强不仅归因于CN QDs促进了电子-空穴对的分离，从而提高了光催化活性，还归因于可见光吸收范围的扩大。我们使用ENR特异性适配体作为识别元件，构建了用于ENR检测的高性能光电化学适配体传感器。该传感器的线性检测范围为1×10至1×10 ng mL，检测限为0.033 ng mL。CN QDs/BiOBr传感平台的出色性能证明了其在检测食品、生物医学环境和环境分析中ENR浓度方面的潜在应用。
得益于CN QDs的敏化作用，CN QDs/BiOBr表现出纯BiOBr 17倍的PEC信号。CN QDs/BiOBr中量子点的存在促进了电子-空穴对的快速分离，从而显著增强了PEC活性并提高了对ENR的检测性能。这项研究令人信服地表明，将CN QDs与BiOBr纳米片整合可为设计用于传感应用的更高效铋基半导体光活性材料铺平道路。
