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April 5, 2026ACS Applied Materials & Interfaces1 citations

A Graphene-Templated Epitaxial SnO 2 /FDM-23 Ternary Composite for Rapid and Highly Sensitive Hydrogen Sulfide Detection

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HLHongbin LiYFYunxia FengYSYifan Song

Key Points

  • The aim is to develop a highly sensitive sensor for detecting trace levels of hydrogen sulfide.
  • Fabrication of a SnO2-doped graphene/FDM-23 ternary composite.
  • Testing the sensor's response to hydrogen sulfide at room temperature.
  • Utilizing principal component analysis for response profiling.
  • Implementing support vector machine classification for accuracy assessment.
  • Achieved 3.7% response to 1 ppm of hydrogen sulfide.
  • Measured response/recovery times of 3.9 seconds and 7.6 seconds, respectively.
  • Calculated limit of detection as low as 6.9 ppb.
  • Identified volatile sulfur compounds with 97.1% classification accuracy.

Abstract

Achieving precise and real-time detection of trace hydrogen sulfide (H2S) and its related malodorous substances is essential for advancing a proactive prevention-oriented environmental governance model. However, metal-oxide-based H2S sensors often suffer from high operating temperatures, inadequate selectivity, and sluggish response/recovery times. In this study, we fabricate a ternary SnO2-doped graphene/FDM-23 (Fudan Material-23) epitaxial composite, which integrates SnO2 nanoparticles into a graphene-epitaxial FDM-23 metal-organic framework (MOF) matrix, enabling ultrafast and sensitive H2S sensing at room temperature (25 °C). The sensor based on the composite demonstrates a 3.7% response to 1 ppm of H2S with response/recovery times of 3.9 s/7.6 s, and its calculated limit of detection (LOD) is as low as 6.9 ppb. Notably, the distinct response profiles of the sensor toward five similar volatile sulfur compounds (VSCs) are subjected to principal component analysis (PCA) for effective clustering, while support vector machine (SVM) classification achieves a high identification accuracy of 97.1%.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdbfa79560c99a0a3f05https://doi.org/10.1021/acsami.6c02052
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