Herein, we successfully dispersed nickel nitride nanosheets (Ni₃N NSs) on various carbon matrices (i.e. graphene, macroporous carbon, carbon nanotube and hollow carbon fiber) through nitridation treatment of precursors. Characterization results demonstrated that Ni₃N-PCF (hollow and porous carbon fiber) owned the 3D hollow and tubular architecture, abundant meso/macropores and large BET surface area compared with other control samples. Ni₃N-PCF exhibit the best H₂O₂ and glucose detection abilities than another four samples because of the synergistic effect of metallic character of Ni₃N_, excellent electroconductibility of PCF and structural advantages of hierarchically meso/macroporous architectures. It afforded wide linear ranges (from 0.001 to 2.08 mM and 2.08–50.50 mM) and large sensitivity values (51.81 and 38.32 uA cm⁻² mM⁻¹) for H₂O₂ detection. Furthermore, it also displayed wide linear ranges (0.001–1.75 mM and 1.75–9.18 mM), large sensitivity values (1620.31 and 856.40 uA cm⁻² mM⁻¹) and a small response time (1.7 s) toward glucose detection. In addition, Ni₃N-PCF can be used for detecting glucose concentrations in blood serums with satisfying results. Ni₃N-PCF also revealed good reproducibility, good stability, and superior selectivity toward either H₂O₂ or glucose detection. This work opens new approach for boosting electroanalysis abilities of Ni based materials.

本文中，我们通过对前体进行氮化处理，成功地将氮化镍纳米片（Ni ₃ N NSs）分散在各种碳基体（即石墨烯，大孔碳，碳纳米管和中空碳纤维）上。表征结果表明，与其他对照样品相比，Ni ₃ N-PCF（中空和多孔碳纤维）拥有3D中空和管状结构，丰富的中孔/大孔和较大的BET表面积。的Ni ₃的N- PCF表现出最好的ħ ₂ ö ₂比，因为镍金属特性的协同效应，另外四个样品和葡萄糖检测能力₃ Ñ _，PCF具有出色的导电性，并且具有中观/宏大体系层次结构的结构优势。它提供了宽的线性范围（从0.001至2.08 mM和2.08至50.50 mM）和大的H ₂ O ₂检测灵敏度值（51.81和38.32 uA cm ^-2  mM ^-1）。此外，它还显示了宽的线性范围（0.001–1.75 mM和1.75–9.18 mM），大的灵敏度值（1620.31和856.40 uA cm ^-2  mM ^-1）和对葡萄糖检测的响应时间（1.7 s）短。另外，Ni ₃ N-PCF可用于检测血清中的葡萄糖浓度，结果令人满意。镍₃N-PCF还显示出良好的重现性，良好的稳定性以及对H ₂ O ₂或葡萄糖检测的优异选择性。这项工作为提高镍基材料的电分析能力开辟了新途径。