Detection of Hazardous Vapors Including Mixtures in Varied Conditions Using a Surface-Acoustic-Wave Device Article Swipe
Tony F. Chan
,
Hsu-Chao Hao
,
Chia‐Min Yang
,
Da‐Jeng Yao
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1149/2.0191807jss
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1149/2.0191807jss
A surface-acoustic-wave (SAW) sensor was used to detect gaseous chemical compounds ammonia, methane and their mixtures in varied environmental conditions. The sensing chamber was improved using top-cover PMMA with 200-μL fluidic channels, compared with a traditional 1-L four-neck bottle. Small concentrations of ammonia ( ≈ 250 ppb) and methane ( ≈ 9 ppm) were detectable with this SAW sensor array with a sensing film, PNVP with mesoporous carbon hollow nanospheres. Tests of the stability and repeatability showed that the noise of the frequency change is about ± 12.5 Hz within 410 s; the signal loss is less than 9% after 16 detection cycles. According to the results of the sensing measurements, the frequency shift of the ammonia/methane mixture was equivalent to the sum of the frequency shifts of ammonia and methane. In highly humid conditions the loss of signal of ammonia was much larger than that of methane. Based on the results of quantitative measurements of ammonia/methane gaseous mixtures, we found that the superposition effect between sensing signals for ammonia and methane was useable to predict the signal intensity for ammonia/methane gaseous mixtures at varied relative concentrations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1149/2.0191807jss
- OA Status
- hybrid
- Cited By
- 7
- References
- 29
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2800054757Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1149/2.0191807jssDigital Object Identifier
- Title
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Detection of Hazardous Vapors Including Mixtures in Varied Conditions Using a Surface-Acoustic-Wave DeviceWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-01-01Full publication date if available
- Authors
-
Tony F. Chan, Hsu-Chao Hao, Chia‐Min Yang, Da‐Jeng YaoList of authors in order
- Landing page
-
https://doi.org/10.1149/2.0191807jssPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1149/2.0191807jssDirect OA link when available
- Concepts
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Methane, Ammonia, Materials science, Repeatability, SIGNAL (programming language), Analytical Chemistry (journal), Bottle, Environmental chemistry, Chemistry, Composite material, Chromatography, Organic chemistry, Programming language, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2023: 1, 2021: 2, 2020: 1, 2019: 2, 2018: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2041057604, https://openalex.org/W2013897941, https://openalex.org/W2028667068, https://openalex.org/W2131377088, https://openalex.org/W2106812835, https://openalex.org/W2512585223, https://openalex.org/W2518466913, https://openalex.org/W1990161547, https://openalex.org/W1995419765, https://openalex.org/W2032252886, https://openalex.org/W6603706622, https://openalex.org/W2035307188, https://openalex.org/W2085364034, https://openalex.org/W2258177205, https://openalex.org/W2329353112, https://openalex.org/W2010522142, https://openalex.org/W1968416806, https://openalex.org/W2053897273, https://openalex.org/W1989036786, https://openalex.org/W2081723352, https://openalex.org/W2072974364, https://openalex.org/W2007541257, https://openalex.org/W2001752574, https://openalex.org/W2045132148, https://openalex.org/W1998939847, https://openalex.org/W2107013774, https://openalex.org/W2148101007, https://openalex.org/W1980990958, https://openalex.org/W90009598 |
| referenced_works_count | 29 |
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