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Biological treatment of indoor air for VOC removal: Potential and challenges

Open access
Guieysse, Benoit, Hort, Cecile, Platel, Vincent, Munoz, Raul, Ondarts, Michel, Revah, Sergio·2008·Biotechnology Advances

Abstract

There is nowadays no single fully satisfactory method for VOC removal from indoor air due to the difficulties linked to the very low concentration (microg m(-3) range), diversity, and variability at which VOCs are typically found in the indoor environment. Although biological methods have shown a certain potential for this purpose, the specific characteristic of indoor air and the indoor air environment brings numerous challenges. In particular, new methods must be developed to inoculate, express, and maintain a suitable and diverse catabolic ability under conditions of trace substrate concentration which might not sustain microbial growth. In addition, the biological treatment of indoor air must be able to purify large amounts of air in confined environments with minimal nuisances and release of microorganisms. This requires technical innovations, the development of specific testing protocols and a deep understanding of microbial activities and the mechanisms of substrate uptake at trace concentrations.

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Crossref · 10.1016/j.biotechadv.2008.03.005

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Metadata

Authors
Guieysse, B., Hort, C., Platel, V., Munoz, R., Ondarts, M., & Revah, S.
Venue
Biotechnology Advances
Publisher
Elsevier BV
Published
2008-09
Volume
26
Issue
5
Pages
398-410
ISSN
0734-9750 (ISSN-L)
OpenAlex
W1987993595
Cited by
308
References
0
FWCI
7.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biological treatment of indoor air for VOC removal: Potential and challenges. https://app.cochat.ai/papers/10.1016/j.biotechadv.2008.03.005
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Guieysse, B., Hort, C., Platel, V., Munoz, R., Ondarts, M., & Revah, S. (2008). Biological treatment of indoor air for VOC removal: Potential and challenges. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2008.03.005

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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.