The DOI matches its Crossref record.
Odor Thresholds and Irritation Levels of Several Chemical Substances: A Review
Abstract
A collation of odor threshold data for approximately 450 chemical substances is presented. The range of odor thresholds reported in the literature is shown along with any reported threshold of irritation to humans. These data can assist the industrial hygienist in determining when an "odor" may be in excess of the Threshold Limit Value, when an organic vapor respirator is not acceptable due to the lack of an odor warning at the end of a cartridge life, and where odors may not indicate a hazard due to extremely low odor thresholds which may be well below the respective TLVs.
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Citations
Cited by
Odor compounds in waste gas emissions from agricultural operations and food industries
Rappert, S., & Müller, R. (2005) · Waste Management · doi:10.1016/j.wasman.2005.07.008 · Cited by 295
van Thriel, C., Schäper, M., Kiesswetter, E., Kleinbeck, S., Juran, S., Blaszkewicz, M., Fricke, H.-H., Altmann, L., Berresheim, H., & Brüning, T. (2006) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-005-0057-4 · Cited by 89
Metadata
- Authors
- RUTH, J. H.
- Venue
- American Industrial Hygiene Association Journal
- Publisher
- Informa UK Limited
- Published
- 1986-03
- Volume
- 47
- Issue
- 3
- Pages
- A-142-A-151
- ISSN
- 0002-8894 (ISSN-L)
- OpenAlex
- W2024969775
- Cited by
- 504
- References
- 0
- FWCI
- 23.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Odor Thresholds and Irritation Levels of Several Chemical Substances: A Review. https://app.cochat.ai/papers/10.1080/15298668691389595
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- RUTH, J. H. (1986). Odor Thresholds and Irritation Levels of Several Chemical Substances: A Review. American Industrial Hygiene Association Journal. https://doi.org/10.1080/15298668691389595
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.