Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic - Publikacja - MOST Wiedzy

Wyszukiwarka

Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic

Abstrakt

Measurement and monitoring of air quality in terms of odour nuisance is an important problem. Although the source of these nuisances is different (e.g. wastewater treatment plants, municipal landfills), their common feature is that they are a complex mixture of odorants with different odour thresholds. An additional problem is occurrence of the odour interactions between mixture components. From a practical point of view, it would be most valuable to directly link the odour intensity with the results of analytical air monitoring. This would allow the on-line odour monitoring using electronic noses, which perform a holistic analysis of the gas mixtures composition (like olfactometric methods). The paper presents the possibility of application of fuzzy logic to determine the odour intensity and indicate odour interactions in model, five-component gas mixtures (acetone, α-pinene, formaldehyde, toluene and triethylamine) using electronic nose prototype. As the results of the studies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system can be successfully used for this application. The results obtained using fuzzy logic are consistent with sensory analysis results in 80%.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Pełna treść

pobierz publikację
pobrano 32 razy

Licencja

Copyright (2018, AIDIC Servizi S.r.l.)

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Opublikowano w:
CHEMICAL ENGINEERING TRANSACTIONS strony 259 - 264,
ISSN: 2283-9216
ISSN:
2283-9216
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Szulczyński B., Namieśnik J., Gębicki J.: Analysis of odour interactions in model gas mixtures using electronic nose and fuzzy logic// CHEMICAL ENGINEERING TRANSACTIONS. -., nr. 68 (2018), s.259-264
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3303/cet1868044
Bibliografia: test
  1. Capelli L., Sironi S., Del Rosso R., 2014, Electronic Noses for Environmental Monitoring Applications, Sensors, 14, 19979-20007. otwiera się w nowej karcie
  2. Fang J. J., Yang N., Cen D. Y., Shao L. M., He P. J., 2012, Odor compounds from different sources of landfill: Characterization and source identification, Waste Management, 32,1401-1410. otwiera się w nowej karcie
  3. Gardner J.W., Bartlett P.N., 1994, A brief history of electronic noses, Sensors and Actuators B -Chemical, 18, 211-220. otwiera się w nowej karcie
  4. Gębicki J., Dymerski T., Namieśnik J., 2014a, Monitoring of Odour Nuisance from Landfill Using Electronic Nose, Chemical Engineering Transactions, 40, 85-90. otwiera się w nowej karcie
  5. Gębicki J., Dymerski T., Rutkowski S., 2014b, Identification of volatile organic compounds using classical sensory analysis and electronic nose technique, Environmental Protection Engineering, 40, 103-116. otwiera się w nowej karcie
  6. Laffort P.,Dravnieks A.,1982, Several models of suprathreshold quantitative olfactory interaction in humansapplied to binary, ternary and quaterny mixtures, Chemical Senses, 7, 153-174. otwiera się w nowej karcie
  7. Lewkowska P., Byliński H., Wojnowski W., Dymerski T., Gębicki J., Namieśnik J., 2016, Comparison of the Measurement Techniques Employed for Evaluation of Ambient Air Odour Quality Influenced by Operation of Industrial Sewage Treatment Plant, Chemical Engineering Transactions, 54, 265-270.
  8. Szulczyński B., Namieśnik J., Gębicki J., 2017, Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose, Sensors, 17, 2380. otwiera się w nowej karcie
  9. Szulczyński B., Gębicki J., Namieśnik J., 2018, Application of fuzzy logic to determine the odour intensity of model gas mixture using electronic nose, E3S Web of Conferences, 28, 01036. otwiera się w nowej karcie
  10. Thaler E.R., Hanson C.W., 2005, Medical applications of electronic nose technology, Expert Review of Medical Devices, 2, 559-566. otwiera się w nowej karcie
  11. Wilson A.D., Baietto M, 2009, Applications and Advances in Electronic-Nose Technologies, Sensors, 9, 5099- 5148. otwiera się w nowej karcie
  12. Yan, L., Liu, J., Fang, D., 2015, Use of a modified vector model for odor intensity prediction of odorant mixtures, Sensors, 15, 5697-5709. otwiera się w nowej karcie
Źródła finansowania:
  • Grant No. UMO-2015/19/B/ST4/02722 from the National Science Centre (Poland)
Weryfikacja:
Politechnika Gdańska

wyświetlono 41 razy

Publikacje, które mogą cię zainteresować

Meta Tagi