Olfactory-chemical establishment using odour wheels and fingerprints to manage odor pollution for the petrochemical industry

[Display omitted] •Odour emissions from the petrochemical industries cause community discomfort.•Odorants are identified using olfactory and chemical methods.•The fingerprint spectra and odour wheels are generated using odorants and olfactory.•The fingerprint spectra and odour wheels provide new ide...

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Veröffentlicht in:Microchemical journal 2024-10, Vol.205, p.111253, Article 111253
Hauptverfasser: Meng, Jie, Wang, Jing, Ning, Xiaoyu, Li, Weifang, Wang, Gen, Li, Wei, Ma, Bo, Wang, Jianzhuang, Wang, Hao, Xiao, Xiande, Cui, Huanwen, Jing, Boyu
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Sprache:eng
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Zusammenfassung:[Display omitted] •Odour emissions from the petrochemical industries cause community discomfort.•Odorants are identified using olfactory and chemical methods.•The fingerprint spectra and odour wheels are generated using odorants and olfactory.•The fingerprint spectra and odour wheels provide new ideas for odor management.•Odour wheels can be used by the public as an accessible guide to identify odorants. The odor nuisance may cause major environmental issues, so identifying the odor characteristics is important for odor management and traceability in the petrochemical industry. In this study, odour wheels and fingerprints were applied to manage odor pollution in the petrochemical industry. First, the odor profile method and portable electronic nose evaluation were applied to analyze the flavour sensory profiles of five upstream and downstream petrochemical plants, in order to grasp the odor natures of plants. Second, 375 organized and unorganized samples of 5 plants were analyzed by gas chromatography-mass spectrometry (GC–MS) technology, and a total of 583 odorants were obtained, including sulfur compounds, alcohols, esters, aldehydes, ketones, acids, alkanes, alkenes, halogenated hydrocarbons, aromatic hydrocarbons, nitrogen compounds, and other compounds. Third, the key odorants were identified by gas chromatography-olfactory (GC-O) and odor activity value (OAV) analysis. Fourth, the fingerprint spectras were developed by the identification of key odorants and process sources through principal component analysis. For plant A, 21 odorants were confirmed, including naphthalene, 1-methylnaphthalene, 2-methylnaphthalene, 1-methylindene, and 2-methylindene. Methyl methacrylate, acetophenone, isobutene, 4-vinyl-1-cyclohexene, acrylonitrile, and styrene were key element for plant B. The fingerprint factor of plant C had 20 odorants, including methanol, butanol, 2-ethylhexanol, acetic acid, and ammonia. And there were 21 odorants for plant D and 14 odorants for plant E, respectively, with similar substance types, including 2-ethyl-2-hexenal, 3-methyl-4-heptanone, isobutyl butyrate, and 1,2,3,5-tetraethylbenzene. Finally, the odor wheels were established by the correlation analysis between odorants and malodor, and compounds in fingerprint spectra weaker related to malodor of plants were removed. Hence, the characteristic odorants of each plant were further clarified, and the odors were associated with compounds, achieving rapid diagnosis and traceability of odo
ISSN:0026-265X
DOI:10.1016/j.microc.2024.111253