Abstract
In this work, the excess water-stagnation issue in the high current region in direct methanol fuel cells (DMFCs) is resolved by using atomic precision modulated nitrogen-crafted graphene (NG) in the cathode microporous layer by utilizing simplistic, industrial-expansive and ecological strategy. Few-layer 2D-graphene (∼2–5 nm thickness) is prepared by bath sonication approach from abundant feedstock-graphite and is treated with nitric acid to yield 1.8 wt.% uniformly dispersed nitrogen containing NG. Specifically, 1:4 weight ratio NG:carbon-black (CB) hybrid architecture, displays 0.252 V in 370 mA cm−2 with the peak power density of 93.4 mW cm−2, improving cell power density by 45.6% compared with standard one at 60°C and 1 mol/L methanol/oxygen conditions at ultra-low catalyst loadings and displaying exceptional stability. Atomic insights into NG reveal that interplay between bonding configurations, altered hydrophobic/hydrophilic porosity of graphene (10.6% less wettability from contact angle and 13.1% high electrode porosity measurements) contribute to the better mass-transport-porogenic effect (16.3% high oxygen-permeability), mildly affecting the electron pathway (6.5% reduced in-plane electrical conductivity), overall significantly improving cell performance. Altogether, this work delivers multiple advantages, i.e., the usage of material from facile, sustainable and cost-effective routes, while improving DMFC performance with potential industrial promise.
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This work was supported by China Postdoctoral Science Foundation (Grant No. 2019M661749), Six-Talent-Peaks Project in Jiangsu Province (Grant No. 2016-XNY-015), the High-Tech Key Laboratory of Zhenjiang City (Grant No. SS2018002), and Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions.
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Balakrishnan, P., Guan, L., Liu, H. et al. Tunable nitrogen crafted 2D-graphene nano-hybrid from industrial expansive and ecological approach as robust cathode microporous layer to improve performance of a direct methanol fuel cell. Sci. China Technol. Sci. 66, 2669–2680 (2023). https://doi.org/10.1007/s11431-022-2355-9
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DOI: https://doi.org/10.1007/s11431-022-2355-9