Correspondences between olfactometry, analytical and electronic nose data for 10 indoor paints

Ramalho, Olivier

doi:10.1051/analusis:2000280207

Cited by 10 publications

(8 citation statements)

References 24 publications

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“…Acids such as hexanoic and octanoic acids can be produced by microorganisms (Claeson et al, 2002), but can also be emitted from building products such as e.g. paint (Ramalho, 2000). Compounds similar to 1-(2-methoxypropoxy)-2-propanol and 2-(2-methoxyethoxy)-2-ethanol have also been found in paint (Ramalho, 2000) and 2-phenoxyethanol has been reported as emission from PVC flooring (Reiser et al, 2002).…”

Section: Resultsmentioning

confidence: 99%

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Multivariate evaluation of VOCs in buildings where people with non-specific building-related symptoms perceive health problems and in buildings where they do not

et al. 2006

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The study showed that there was an identifiable systematic difference in the collected VOC data between buildings causing and not causing problems for people with non-specific building-related symptoms (also called sick building syndrome, SBS). This is an important indication that even such volatile organic compounds that can be sampled by commonly used adsorbents are of importance for the presence of such symptoms. By coordination of procedures for sampling and analysis of VOCs in buildings between laboratories, to get large datasets and more general models, the method can become a useful diagnostic measure in evaluating indoor air and to identify chemical compounds and sources that contribute to SBS problems.

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Section: Resultsmentioning

confidence: 99%

“…paint (Ramalho, 2000). Compounds similar to 1-(2-methoxypropoxy)-2-propanol and 2-(2-methoxyethoxy)-2-ethanol have also been found in paint (Ramalho, 2000) and 2-phenoxyethanol has been reported as emission from PVC flooring (Reiser et al, 2002). Acetophenone has been found in emissions from e.g.…”

Section: Resultsmentioning

confidence: 99%

Multivariate evaluation of VOCs in buildings where people with non-specific building-related symptoms perceive health problems and in buildings where they do not

et al. 2006

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“…Established and new analytical techniques to characterize indoor air can measure only a limited number of compounds for a given air sample. Some techniques, such as the use of photoionization detectors and electronic noses, can associate a single value or a signature pattern to a mixture of compounds, but they still fail to detect all the constituents of the mixture . Human perception through olfactory and trigeminal sensitivity remains a unique method to assess complex pollutant mixtures with interpretable information.…”

Section: Introductionmentioning

confidence: 99%

Perceived indoor air quality and its relationship to air pollutants in French dwellings

et al. 2017

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Perception of indoor air quality (PIAQ) was evaluated in a nationwide survey of 567 French dwellings, and this survey was combined with measurements of gaseous and particulate matter (PM and PM ) indoor air pollutants and indoor climate parameters. The perception was assessed on a nine-grade scale by both the occupants of the dwellings and the inspectors who performed the measurements. The occupants perceived the air quality in their homes as more pleasant than the inspectors. The inspectors perceived the air quality as more unpleasant in dwellings in which the residents smoked indoors. Significant associations between PIAQ and indoor air pollutant concentrations were observed for both the inspectors and, to a lesser extent, the occupants. Introducing confounding parameters, such as building and personal characteristics, into a multivariate model suppressed most of the observed bivariate correlations and identified the tenure status of the occupants and their occupation as the parameters that most influenced their PIAQ. For the inspectors, perceived air quality was affected by the presence of smokers, the season, the type of ventilation, retrofitting, and the concentrations of acetaldehyde and acrolein.

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“…There are several solutions for using sensor systems to evaluate the quality of materials used in building a room. One example may be the use of an electronic nose with 32 sensors made from conductive polymers (Aromascan 32S) to identify indoor paints based on acrylic, alkyd, polyurethane and vinyl resins (Ramalho, 2000). The obtained results were compared with those obtained using gas chromatography and olfactometry.…”

Section: Holistic Approachmentioning

confidence: 99%

Electronic Noses for Indoor Air Quality Assessment

Majchrzak

Wojnowski

Dymerski

et al. 2018

Electronic Nose Technologies and Advances in Machine Olfaction

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This chapter presents a proposal of the use of electronic noses in the monitoring of indoor air quality. The main focus is put on the detailed characteristics of today's indoor air quality control methods, the types of pollution in the air, and the development of electronic noses for air testing. Currently, scientists seek methodological and structural solutions that would enable real-time online indoor air control. It has been shown that using electronic noses in this situation is advantageous. In addition, potential uses of these devices are discussed, with particular focus on closed food processing spaces. The authors of the chapter argue that in the near future, the proposed solution could improve the quality of indoor air and thus the health of the users of the indoor environments, as well as the quality of the products prepared there.

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Correspondences between olfactometry, analytical and electronic nose data for 10 indoor paints

Cited by 10 publications

References 24 publications

Multivariate evaluation of VOCs in buildings where people with non-specific building-related symptoms perceive health problems and in buildings where they do not

Multivariate evaluation of VOCs in buildings where people with non-specific building-related symptoms perceive health problems and in buildings where they do not

Perceived indoor air quality and its relationship to air pollutants in French dwellings

Electronic Noses for Indoor Air Quality Assessment

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