Comment on amt-2022-243 Article Swipe
Abstract. Since its inception more than 2 decades ago, proton-transfer-reaction mass spectrometry (PTR-MS) has established itself as a powerful technique for the measurements of a wide range of volatile organic compounds (VOCs) with high time resolution and low detection limits and without the need for any sample pre-treatment. As this technology has matured and its application become more widespread, there is a growing need for accurate and traceable calibration to ensure measurement comparability. As a result of the large number of VOCs detectable with PTR-MS, it is impractical to have a calibration standard or standards that cover all observable compounds. However, recent work has demonstrated that quantitative measurements of uncalibrated compounds are possible provided that the transmission curve is accurately constrained. To enable this, a novel traceable multi-component gas reference material containing 20 compounds spanning a mass range of 32 to 671 has been developed. The development and compositional evolution of this reference material are described along with an evaluation of its accuracy and stability. This work demonstrates that for the majority of components the accuracy is < 5 % (most < 3 %; < 10 % for hexamethylcyclotrisiloxane (D3-siloxane) and 1,2,4-trichlorobenzene – 1,2,4-TCB) with stabilities of > 2 years (> 1 year for acetonitrile, methanol and perfluorotributylamine – PFTBA).
Related Topics
Concepts
Span (engineering)
Calibration
Life span
Range (aeronautics)
Calibration curve
Comparability
Acetonitrile
Analytical Chemistry (journal)
Chemistry
Materials science
Detection limit
Chromatography
Mathematics
Statistics
Structural engineering
Engineering
Gerontology
Medicine
Combinatorics
Composite material
Metadata
- Type
- peer-review
- Language
- en
- Landing Page
- https://doi.org/10.5194/amt-2022-243-rc1
- OA Status
- gold
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297476696
All OpenAlex metadata
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https://openalex.org/W4297476696Canonical identifier for this work in OpenAlex
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https://doi.org/10.5194/amt-2022-243-rc1Digital Object Identifier
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Comment on amt-2022-243Work title
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peer-reviewOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-09-28Full publication date if available
- Authors
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Wiebke ScholzList of authors in order
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https://doi.org/10.5194/amt-2022-243-rc1Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.5194/amt-2022-243-rc1Direct OA link when available
- Concepts
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Span (engineering), Calibration, Life span, Range (aeronautics), Calibration curve, Comparability, Acetonitrile, Analytical Chemistry (journal), Chemistry, Materials science, Detection limit, Chromatography, Mathematics, Statistics, Structural engineering, Engineering, Gerontology, Medicine, Combinatorics, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.transmission | 117 |
| abstract_inverted_index.uncalibrated | 110 |
| abstract_inverted_index.(D3-siloxane) | 193 |
| abstract_inverted_index.acetonitrile, | 210 |
| abstract_inverted_index.compositional | 149 |
| abstract_inverted_index.comparability. | 73 |
| abstract_inverted_index.pre-treatment. | 48 |
| abstract_inverted_index.multi-component | 128 |
| abstract_inverted_index.1,2,4-trichlorobenzene | 195 |
| abstract_inverted_index.perfluorotributylamine | 213 |
| abstract_inverted_index.proton-transfer-reaction | 10 |
| abstract_inverted_index.hexamethylcyclotrisiloxane | 192 |
| abstract_inverted_index.class="inline-formula">></span> | 202, 206 |
| abstract_inverted_index.class="inline-formula"><</span> | 179, 184, 188 |
| abstract_inverted_index.class="journal-contentHeaderColor">Abstract.</strong> | 1 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5076482580 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |