ArticleSensors (Basel, Switzerland)2019
Determination of Odor Intensity of Binary Gas Mixtures Using Perceptual Models and an Electronic Nose Combined with Fuzzy Logic.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Physico-Chemical and Sensory Characteristics of Extruded Cereal Composite Flour Porridge Enriched with House Crickets (Foods (Basel, Switzerland) · 2025Article
- Odor prediction of whiskies based on their molecular composition.Communications chemistry · 2024Article
- Production of Biocalcium from Fermented Fish Bone Residue for Fish Emulsion Sausage Fortification.Foods (Basel, Switzerland) · 2024Article
- Implementation of an electronic nose for real -time identification of odour emission peaks at a wastewater treatment plant.Heliyon · 2023Article
- Poor oral hygiene in elective surgeries and the plight of anaesthesiologists: Ignorance or obliviousness?Indian journal of anaesthesia · 2023Article
- Utilisation of QSPR ODT modelling and odour vector modelling to predict Cannabis sativa odour.PloS one · 2023Article
- Volatile Organic Compound Monitoring during Extreme Wildfires: Assessing the Potential of Sensors Based on LbL and Sputtering Films.Sensors (Basel, Switzerland) · 2022Article
- Visual Analysis of Odor Interaction Based on Support Vector Regression Method.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
2 authors.
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Abstract
Measurement and monitoring of air quality in terms of odor nuisance is an important problem. From a practical point of view, it would be most valuable to directly link the odor intensity with the results of analytical air monitoring. Such a solution is offered by electronic noses, which thanks to the possibility of holistic analysis of the gas sample, allow estimation of the odor intensity of the gas mixture. The biggest problem is the occurrence of odor interactions between the mixture components. For this reason, methods that can take into account the interaction between components of the mixture are used to analyze data from the e-nose. In the presented study, the fuzzy logic algorithm was proposed for determination of odor intensity of binary mixtures of eight odorants: n-Hexane, cyclohexane, toluene, o-xylene, trimethylamine, triethylamine, α-pinene, and β-pinene. The proposed algorithm was compared with four theoretical perceptual models: Euclidean additivity, vectorial additivity, U model, and UPL model.
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