State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, People's Republic of China.
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, People's Republic of China.
J Colloid Interface Sci. 2020 Jun 1;569:358-365. doi: 10.1016/j.jcis.2020.02.081. Epub 2020 Feb 25.
Metal-organic frameworks (MOFs) with porous structures, high surface areas, diverse compositions, and functional linkers are promising materials and good carriers for building high-performance devices. In this work, uniform cobalt-doped ZnO nanoparticles (Co-doped ZnO NPs) derived from a MOF mold were synthesized, demonstrating the first example of synthesizing doped semiconductor metal oxide nanostructures using such strategy. The synthesis method produced Co-doped ZnO NPs that had a controllable doping mode, adjustable surface status, good dispensability, ferromagnetism and catalytic activity. The Co-doped ZnO NPs were evaluated as a sensing material for diabetes biomarker detection; the obtained sensors showed a high response to trace acetone (18.2 at 5 ppm), fast response/recovery times, a low detection limit (170 ppb), and long-term stability for 4 months. The enhanced sensing performance can be attributed to the increased number of active sites, additional impurity energy levels, and the catalytic ability of elemental Co. Moreover, the optimized sensor could distinguish between simulated diabetic breath and healthy human breath samples. The MOF-derived Co-doped ZnO NPs are a good candidate for the low-cost and noninvasive diagnosis of diabetes, and the proposed synthesis strategy can be extended to other types of extrinsically doped oxide materials.
金属-有机骨架（MOFs）具有多孔结构、高比表面积、多样的组成和功能连接体，是构建高性能器件的有前途的材料和良好载体。在这项工作中，我们合成了源自 MOF 模具的均匀钴掺杂氧化锌纳米粒子（Co-doped ZnO NPs），这是首次使用这种策略合成掺杂半导体金属氧化物纳米结构的实例。该合成方法制备的 Co-doped ZnO NPs 具有可控的掺杂模式、可调的表面状态、良好的分散性、铁磁性和催化活性。Co-doped ZnO NPs 被评估为用于检测糖尿病生物标志物的传感材料；所得到的传感器对痕量丙酮（5 ppm 时为 18.2）表现出高响应、快速的响应/恢复时间、低检测限（170 ppb）和长达 4 个月的长期稳定性。增强的传感性能归因于活性位点数量的增加、额外的杂质能级和元素 Co 的催化能力。此外，优化后的传感器可以区分模拟糖尿病呼吸和健康人呼吸样本。MOF 衍生的 Co-doped ZnO NPs 是低成本、非侵入性诊断糖尿病的良好候选材料，所提出的合成策略可以扩展到其他类型的外掺杂氧化物材料。
