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Synergistically enhanced thermal conductivity sensor based on AlN@h-BN/MWCNT nanocomposite for SF6 leakage monitoring in GIS.

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Title: Synergistically enhanced thermal conductivity sensor based on AlN@h-BN/MWCNT nanocomposite for SF6 leakage monitoring in GIS.
Authors: Wang, Faxun1,2 (AUTHOR), Lin, Junyi1,2 (AUTHOR) linjy9@csg.cn, Huang, Yuxuan1 (AUTHOR), Zhao, Jiguang2 (AUTHOR), Tian, Bing2 (AUTHOR), Zhao, Liang2 (AUTHOR), Luo, Bofeng2 (AUTHOR), Ye, Zhenliang2 (AUTHOR), Yang, Hao2 (AUTHOR), Duan, Guotao1 (AUTHOR) duangt@hust.edu.cn
Source: Sensors & Actuators B: Chemical. Jul2026, Vol. 458, pN.PAG-N.PAG. 1p.
Subjects: Nanocomposite materials, Gas leakage, Thermal conductivity measurement, Wheatstone bridge, Gas detectors
Abstract: Reliable, drift-resistant monitoring of SF 6 enrichment in air near gas-insulated switchgear (GIS) leak points remains challenging for compact and low-cost sensing nodes. Here we report a thermal-conductivity-differential sensor enabled by a materials-circuit co-design: a hierarchical AlN@h-BN/MWCNT nanocomposite coating is integrated onto a Pt-coil element and read out by a Wheatstone bridge with a sealed reference arm and differential amplification. The ternary architecture exhibits a well-developed mesoporous framework with a high BET surface area (111.03 m2·g−1), promoting efficient gas transport within the sensing layer and strengthening the thermal-conductivity-induced perturbation of the bridge balance. Under synthetic dry air (21% O 2 /79% N 2) at 25 ± 1℃, the output is monotonic over 0.1–5.0% SF 6 , with a recommended linear regime of 0.1–1.0% for quantitative readout; the baseline noise (σ air = 0.16 mV) yields an estimated LOD (3σ) of 0.0654% (∼654 ppm), while 0.1% is the lowest experimentally validated concentration. The optimized excitation voltage (3.0 V) maximizes response by balancing gas-phase modulation against increased non-gaseous heat losses at higher temperatures. The sensor shows reversible cycling (52/23 s response/recovery), humidity-tolerant operation (± 8% deviation over 20–80% RH), and < 5% degradation over 90 days; as expected for a TCD-type mechanism, cross-responses are governed by thermal conductivity rather than chemical selectivity. [Display omitted] • AlN@h-BN/MWCNT boosts heat spreading for SF 6 TCD in air. • Dual-element bridge co-design amplifies ΔU and improves stability. • SF 6 response is linear from 0.1% to 1.0% and monotonic to 5.0%. • Baseline noise σ air = 0.16 mV gives 3σ LOD of 654 ppm for SF 6. • Fast 52/23 s kinetics and < 5% drift over 90 d enable GIS alarming. [ABSTRACT FROM AUTHOR]
Copyright of Sensors & Actuators B: Chemical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Synergistically enhanced thermal conductivity sensor based on AlN@h-BN/MWCNT nanocomposite for SF6 leakage monitoring in GIS.
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  Data: Reliable, drift-resistant monitoring of SF 6 enrichment in air near gas-insulated switchgear (GIS) leak points remains challenging for compact and low-cost sensing nodes. Here we report a thermal-conductivity-differential sensor enabled by a materials-circuit co-design: a hierarchical AlN@h-BN/MWCNT nanocomposite coating is integrated onto a Pt-coil element and read out by a Wheatstone bridge with a sealed reference arm and differential amplification. The ternary architecture exhibits a well-developed mesoporous framework with a high BET surface area (111.03 m2&#183;g−1), promoting efficient gas transport within the sensing layer and strengthening the thermal-conductivity-induced perturbation of the bridge balance. Under synthetic dry air (21% O 2 /79% N 2) at 25 &#177; 1℃, the output is monotonic over 0.1–5.0% SF 6 , with a recommended linear regime of 0.1–1.0% for quantitative readout; the baseline noise (σ air = 0.16 mV) yields an estimated LOD (3σ) of 0.0654% (∼654 ppm), while 0.1% is the lowest experimentally validated concentration. The optimized excitation voltage (3.0 V) maximizes response by balancing gas-phase modulation against increased non-gaseous heat losses at higher temperatures. The sensor shows reversible cycling (52/23 s response/recovery), humidity-tolerant operation (&#177; 8% deviation over 20–80% RH), and &lt; 5% degradation over 90 days; as expected for a TCD-type mechanism, cross-responses are governed by thermal conductivity rather than chemical selectivity. [Display omitted] • AlN@h-BN/MWCNT boosts heat spreading for SF 6 TCD in air. • Dual-element bridge co-design amplifies ΔU and improves stability. • SF 6 response is linear from 0.1% to 1.0% and monotonic to 5.0%. • Baseline noise σ air = 0.16 mV gives 3σ LOD of 654 ppm for SF 6. • Fast 52/23 s kinetics and &lt; 5% drift over 90 d enable GIS alarming. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Sensors &amp; Actuators B: Chemical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.snb.2026.139760
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Nanocomposite materials
        Type: general
      – SubjectFull: Gas leakage
        Type: general
      – SubjectFull: Thermal conductivity measurement
        Type: general
      – SubjectFull: Wheatstone bridge
        Type: general
      – SubjectFull: Gas detectors
        Type: general
    Titles:
      – TitleFull: Synergistically enhanced thermal conductivity sensor based on AlN@h-BN/MWCNT nanocomposite for SF6 leakage monitoring in GIS.
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            NameFull: Wang, Faxun
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            NameFull: Lin, Junyi
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            NameFull: Huang, Yuxuan
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            NameFull: Tian, Bing
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            NameFull: Zhao, Liang
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 458
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