2026-10-13T07:49:00Z https://www.scidb.cn/oai

10.57760/sciencedb.j00125.00250 2026-08-05T17:23:48Z

2026-08-05 Hierarchical N/S co-doped porous fibrous carbon embedded with Fe3O4 derived from polypyrrole modified lignosulphonate-bacterial cellulose for high performance supercapacitors doi:10.57760/sciencedb.j00125.00250 en The design of heteroatom-doped porous carbon materials integrated with metal oxide nanostructures has emerged as an efficient approach for improving the electrochemical performance of supercapacitors. A green and cost-effective method is reported for the fabrication of a hierarchical porous carbon composite from bacterial cellulose (BC), lignosulfonic acid (LS), and polypyrrole (PPy). LS serves as both an anchoring agent and a soft molecular template, directing the oxidative polymerization and uniform deposition of PPy onto the BC nanofibers in the presence of FeCl₃ as the oxidizing agent. Subsequent carbonization under a nitrogen atmosphere results in the formation of an N/S co-doped carbon framework decorated with Fe3O4 nanoparticles, which is denoted C-BCLP. For comparison, a control composite consisting of BC and PPy without LS was carbonized to produce C-BCP. X-ray diffraction patterns confirms the synthesis of Fe3O4 nanoparticles and the preservation of the fibrous carbon structure. Electron microscopy shows that C-BCLP has a highly porous and conductive network with a homogeneous distribution of C, O, N, S and Fe elements. Because of the combined effects of hierarchical porosity, heteroatom doping, and Fe3O4 incorporation, the C-BCLP electrode has high specific capacitances of 338.3 F g–1 at 1 A g–1 and 191.6 F g–1 at 10 A g–1. In addition, it has excellent cycling stability, retaining 99.1% of its initial capacitance after 10000 charge-discharge cycles, outperforming the C-BCP electrode. The work suggests a promising way to develop next-generation high-performance supercapacitors. Bacterial cellulose; Porous carbon; Supercapacitor Kummara Madhusudana Rao Sung Soo Han EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1016/S1872-5805(26)61112-2 Science Data Bank