Designing and synthesizing various nickel nitride (Ni3N) nanosheets dispersed carbon nanomaterials with different structures and porosities as the high-efficiency non-enzymatic sensors

Herein, we successfully dispersed nickel nitride nanosheets (Ni 3 N 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 Ni 3 N-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. Ni 3 N-PCF exhibit the best H 2 O 2 and glucose detection abilities than another four samples because of the synergistic effect of metallic character of Ni 3 N , 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 H 2 O 2 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, Ni 3 N-PCF can be used for detecting glucose concentrations in blood serums with satisfying results. Ni 3 N-PCF also revealed good reproducibility, good stability, and superior selectivity toward either H 2 O 2 or glucose detection. This work opens new approach for boosting electroanalysis abilities of Ni based materials.