In Situ Growth of Pd Nanoparticles on Wood for Highly Sensitive Hydrogen Sensing

Abstract

As a flammable and explosive clean energy source, the safe detection of H2 is of paramount importance. This study utilizes naturally occurring lignin in wood as a reducing agent to achieve the green and in situ growth of Pd nanoparticles (NPs). Subsequently, this material is integrated with a MEMS thermopile to fabricate a highly sensitive H2 sensor. This work systematically analyzes the influence of wood types on the in situ growth of Pd NPs and their H2 sensing performance. Experimental results indicate that Pd NPs loaded on Balsa wood exhibit superior sensing performance compared to those on Mongolian pine and Spruce wood. At the optimal operating temperature of 200°C, the sensitivity of the Balsa wood-based sensor to H2 is about 4.5 times and 4 times higher than those of the Mongolian pine-based and Spruce-based sensors, respectively, while its response time is only 50% and 60% of the latter. Furthermore, the Balsa wood-based sensor demonstrates a low detection limit (< 1 ppm), a wide linear detection range spanning five orders of magnitude (1 ppm to 2%), and excellent selectivity. This is primarily attributed to two key structural and compositional characteristics of Balsa wood. Firstly, Balsa wood possesses a unique porous fibrous network structure that provides rapid diffusion pathways for gas transport. Secondly, among the three types of wood, Balsa wood exhibits the highest lignin content and a more active chemical interface, which enables more sufficient and uniform in situ reduction of Pd NPs. This study not only presents a novel synthesis strategy for sensing materials to develop high-performance H2 sensors but also offers a feasible pathway for the value-added application of biomass resources in the field of sensing.

Supplementary files

Article information

Article type
Paper
Submitted
16 Feb 2026
Accepted
24 Mar 2026
First published
26 Mar 2026

Analyst, 2026, Accepted Manuscript

In Situ Growth of Pd Nanoparticles on Wood for Highly Sensitive Hydrogen Sensing

W. Lin, M. Li, Z. Li, S. Shi, C. Zhu, J. Yan, Y. Chen, P. Xu and X. Li, Analyst, 2026, Accepted Manuscript , DOI: 10.1039/D6AN00185H

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