Hierarchical Morphology Engineering of Silicon Micropillars Dictates Interfacial Kinetics for Room-Temperature Hydrogen Sensing

Abstract The precise construction of three-dimensional (3D) hierarchical architectures on silicon substrates is highly desirable for amplifying surface-dominated physicochemical interactions. However, traditional top-down microfabrication typically yields inherently smooth sidewalls, restricting active site density and causing the “premature saturation” of interfacial reactions. Herein, we report a controllable morphology engineering strategy via one-step metal-assisted chemical etching (MACE) to fabricate hierarchical silicon micropillars (HMPs) with in situ sculpted nanoscale rough sidewalls. To elucidate the impact of this hierarchical morphology on interfacial kinetics, we employed Pd-modified HMPs for room-temperature H2 sensing as a proof-of-concept model. This custom architecture effectively bypasses the morphological bottlenecks of traditional smooth micropillars (SMPs). The optimized Pd/HMPs sensor achieved a response of up to 628% toward 1% H2─a > 6-fold enhancement over its SMPs counterpart─with a low detection limit of 200 ppb. Intriguingly, the sensor exhibits an anomalous humidity-enhanced sensing behavior under low-humidity conditions, revealing a unique synergistic mechanism jointly governed by local surface charge modulation and proton-assisted interfacial transport. This work establishes a versatile paradigm for constructing complex on-chip silicon architectures and offers fundamental insights into how morphology governs interfacial kinetics.

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Publication Details

Journal
Langmuir
Published
2026-09-29
DOI
https://doi.org/10.1021/acs.langmuir.6c03618
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
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Hierarchical Morphology Engineering of Silicon Micropillars Dictates Interfacial Kinetics for Room-Temperature Hydrogen Sensing

Zhi‐Jun Zhao, Yuanping Zhang, Bingjun Yu, Hongbo Wang et al.
Langmuir
Gas Sensing Nanomaterials and Sensors
article

Hierarchical Morphology Engineering of Silicon Micropillars Dictates Interfacial Kinetics for Room-Temperature Hydrogen Sensing

Zhi‐Jun Zhao, Yuanping Zhang, Bingjun Yu, Hongbo Wang, Linmao Qian, Ran Xiong, Mengxin Liu, Xianwu Xu, Caijiang Lu
article en

Abstract

Abstract The precise construction of three-dimensional (3D) hierarchical architectures on silicon substrates is highly desirable for amplifying surface-dominated physicochemical interactions. However, traditional top-down microfabrication typically yields inherently smooth sidewalls, restricting active site density and causing the “premature saturation” of interfacial reactions. Herein, we report a controllable morphology engineering strategy via one-step metal-assisted chemical etching (MACE) to fabricate hierarchical silicon micropillars (HMPs) with in situ sculpted nanoscale rough sidewalls. To elucidate the impact of this hierarchical morphology on interfacial kinetics, we employed Pd-modified HMPs for room-temperature H2 sensing as a proof-of-concept model. This custom architecture effectively bypasses the morphological bottlenecks of traditional smooth micropillars (SMPs). The optimized Pd/HMPs sensor achieved a response of up to 628% toward 1% H2─a > 6-fold enhancement over its SMPs counterpart─with a low detection limit of 200 ppb. Intriguingly, the sensor exhibits an anomalous humidity-enhanced sensing behavior under low-humidity conditions, revealing a unique synergistic mechanism jointly governed by local surface charge modulation and proton-assisted interfacial transport. This work establishes a versatile paradigm for constructing complex on-chip silicon architectures and offers fundamental insights into how morphology governs interfacial kinetics.

Langmuir
Southwest Jiaotong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Gas Sensing Nanomaterials and Sensors
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Hierarchical Morphology Engineering of Silicon Micropillars Dictates Interfacial Kinetics for Room-Temperature Hydrogen Sensing — Zhi‐Jun Zhao, Yuanping Zhang, et al. · Langmuir (2026) | TGRS Research Map | TGRS