化学
镍
尖晶石
双金属片
纳米结构
非阻塞I/O
纳米颗粒
电化学
煅烧
结晶度
金属有机骨架
氧化镍
化学工程
无机化学
纳米技术
金属
冶金
物理化学
电极
催化作用
有机化学
吸附
材料科学
工程类
作者
Chenxi Gu,Yongkang Liu,Bin Hu,Yang Liu,Nan Zhou,Lei Xia,Zhihong Zhang
标识
DOI:10.1016/j.aca.2020.03.019
摘要
Multicomponent nanohybrids of nickel/ferric oxides and nickel cobaltate spinel (denoted as NiO/Fe2O3/NiCo2O4) have been prepared through pyrolyzing the hierarchical nanostructure of MOF-on-MOF and explored as efficient scaffolds for sensitively determining insulin. As for the MOF-on-MOF preparation, the ultra-thin bimetallic CoNi-zeolitic imidazolate framework (CoNi-ZIF) nanosheets were grown tightly around the bimetallic CoFe Prussian blue analogue (CoFe PBA) nanocube (denoted as [email protected]). Basic characterizations revealed the original core-shell structure shape was still maintained in the NiO/Fe2O3/NiCo2O4 pyrolyzed at 300 °C, which was composed of multi-metal oxides and NiCo2O4 spinel, along with low crystallinity. Conversely, the NiO/Fe2O3/NiCo2O4 nanohybrid calcined at 600 °C consisted of large amounts of nanoparticles, while the nanohyrbid obtained at 900 °C demonstrated aggregated NiO and Fe2O3 nanoparticles coexisted with the NiCo2O4 phase. Owing to the porous nanostructure, the synergistic effect among different components, excellently electrochemical conductivity, and good biocompatibility of the NiO/Fe2O3/NiCo2O4 nanohybrid obtained at 600 °C, the relevant aptasensor displayed superior sensing performance for the determination of insulin. It gave an ultra-low detection limit of 9.1 fg mL−1 (0.16 fM) within a wide linear insulin concentration ranging from 0.01 pg mL−1 (0.172 fM) to 100 ng mL−1 (1.72 nM) determined by the electrochemical technique. The constructed aptasensor also had high selectivity, good stability, excellent reproducibility, and acceptable applicability in human serum. By integrating the advantages of aptasensors and electrochemical approach with features of multi-metallic metal-organic frameworks, this work widely broadens the applications of MOF-driven nanohybrids in biosensing fields.
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