Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence
<p>Abstract</p> <p>Background</p> <p>Controlling airborne contamination is of major importance in burn units because of the high susceptibility of burned patients to infections and the unique environmental conditions that can accentuate the infection risk. In particular...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-03-01
|
| Series: | BMC Infectious Diseases |
| Online Access: | http://www.biomedcentral.com/1471-2334/11/58 |
| _version_ | 1811280538473857024 |
|---|---|
| author | Mimoun Maurice Benbunan Marc Chaouat Marc Larbre Juliette Benhamadouche Sofiane Rousset Jean-Luc Choukri Firas Laudinet Nicolas Beauchêne Christian Lajonchère Jean-Patrick Bergeron Vance Derouin Francis |
| author_facet | Mimoun Maurice Benbunan Marc Chaouat Marc Larbre Juliette Benhamadouche Sofiane Rousset Jean-Luc Choukri Firas Laudinet Nicolas Beauchêne Christian Lajonchère Jean-Patrick Bergeron Vance Derouin Francis |
| author_sort | Mimoun Maurice |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Controlling airborne contamination is of major importance in burn units because of the high susceptibility of burned patients to infections and the unique environmental conditions that can accentuate the infection risk. In particular the required elevated temperatures in the patient room can create thermal convection flows which can transport airborne contaminates throughout the unit. In order to estimate this risk and optimize the design of an intensive care room intended to host severely burned patients, we have relied on a computational fluid dynamic methodology (CFD).</p> <p>Methods</p> <p>The study was carried out in 4 steps: i) patient room design, ii) CFD simulations of patient room design to model air flows throughout the patient room, adjacent anterooms and the corridor, iii) construction of a prototype room and subsequent experimental studies to characterize its performance iv) qualitative comparison of the tendencies between CFD prediction and experimental results. The Electricité De France (EDF) open-source software <it>Code_Saturne</it><sup>® </sup>(<url>http://www.code-saturne.org</url>) was used and CFD simulations were conducted with an hexahedral mesh containing about 300 000 computational cells. The computational domain included the treatment room and two anterooms including equipment, staff and patient. Experiments with inert aerosol particles followed by time-resolved particle counting were conducted in the prototype room for comparison with the CFD observations.</p> <p>Results</p> <p>We found that thermal convection can create contaminated zones near the ceiling of the room, which can subsequently lead to contaminate transfer in adjacent rooms. Experimental confirmation of these phenomena agreed well with CFD predictions and showed that particles greater than one micron (i.e. bacterial or fungal spore sizes) can be influenced by these thermally induced flows. When the temperature difference between rooms was 7°C, a significant contamination transfer was observed to enter into the positive pressure room when the access door was opened, while 2°C had little effect. Based on these findings the constructed burn unit was outfitted with supplemental air exhaust ducts over the doors to compensate for the thermal convective flows.</p> <p>Conclusions</p> <p>CFD simulations proved to be a particularly useful tool for the design and optimization of a burn unit treatment room. Our results, which have been confirmed qualitatively by experimental investigation, stressed that airborne transfer of microbial size particles via thermal convection flows are able to bypass the protective overpressure in the patient room, which can represent a potential risk of cross contamination between rooms in protected environments.</p> |
| first_indexed | 2024-04-13T01:16:36Z |
| format | Article |
| id | doaj.art-6d60ecf7dbfd4becaa04d1f6b5064c99 |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-04-13T01:16:36Z |
| publishDate | 2011-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-6d60ecf7dbfd4becaa04d1f6b5064c992022-12-22T03:08:54ZengBMCBMC Infectious Diseases1471-23342011-03-011115810.1186/1471-2334-11-58Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidenceMimoun MauriceBenbunan MarcChaouat MarcLarbre JulietteBenhamadouche SofianeRousset Jean-LucChoukri FirasLaudinet NicolasBeauchêne ChristianLajonchère Jean-PatrickBergeron VanceDerouin Francis<p>Abstract</p> <p>Background</p> <p>Controlling airborne contamination is of major importance in burn units because of the high susceptibility of burned patients to infections and the unique environmental conditions that can accentuate the infection risk. In particular the required elevated temperatures in the patient room can create thermal convection flows which can transport airborne contaminates throughout the unit. In order to estimate this risk and optimize the design of an intensive care room intended to host severely burned patients, we have relied on a computational fluid dynamic methodology (CFD).</p> <p>Methods</p> <p>The study was carried out in 4 steps: i) patient room design, ii) CFD simulations of patient room design to model air flows throughout the patient room, adjacent anterooms and the corridor, iii) construction of a prototype room and subsequent experimental studies to characterize its performance iv) qualitative comparison of the tendencies between CFD prediction and experimental results. The Electricité De France (EDF) open-source software <it>Code_Saturne</it><sup>® </sup>(<url>http://www.code-saturne.org</url>) was used and CFD simulations were conducted with an hexahedral mesh containing about 300 000 computational cells. The computational domain included the treatment room and two anterooms including equipment, staff and patient. Experiments with inert aerosol particles followed by time-resolved particle counting were conducted in the prototype room for comparison with the CFD observations.</p> <p>Results</p> <p>We found that thermal convection can create contaminated zones near the ceiling of the room, which can subsequently lead to contaminate transfer in adjacent rooms. Experimental confirmation of these phenomena agreed well with CFD predictions and showed that particles greater than one micron (i.e. bacterial or fungal spore sizes) can be influenced by these thermally induced flows. When the temperature difference between rooms was 7°C, a significant contamination transfer was observed to enter into the positive pressure room when the access door was opened, while 2°C had little effect. Based on these findings the constructed burn unit was outfitted with supplemental air exhaust ducts over the doors to compensate for the thermal convective flows.</p> <p>Conclusions</p> <p>CFD simulations proved to be a particularly useful tool for the design and optimization of a burn unit treatment room. Our results, which have been confirmed qualitatively by experimental investigation, stressed that airborne transfer of microbial size particles via thermal convection flows are able to bypass the protective overpressure in the patient room, which can represent a potential risk of cross contamination between rooms in protected environments.</p>http://www.biomedcentral.com/1471-2334/11/58 |
| spellingShingle | Mimoun Maurice Benbunan Marc Chaouat Marc Larbre Juliette Benhamadouche Sofiane Rousset Jean-Luc Choukri Firas Laudinet Nicolas Beauchêne Christian Lajonchère Jean-Patrick Bergeron Vance Derouin Francis Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence BMC Infectious Diseases |
| title | Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence |
| title_full | Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence |
| title_fullStr | Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence |
| title_full_unstemmed | Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence |
| title_short | Accumulation and transport of microbial-size particles in a pressure protected model burn unit: CFD simulations and experimental evidence |
| title_sort | accumulation and transport of microbial size particles in a pressure protected model burn unit cfd simulations and experimental evidence |
| url | http://www.biomedcentral.com/1471-2334/11/58 |
| work_keys_str_mv | AT mimounmaurice accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT benbunanmarc accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT chaouatmarc accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT larbrejuliette accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT benhamadouchesofiane accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT roussetjeanluc accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT choukrifiras accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT laudinetnicolas accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT beauchenechristian accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT lajoncherejeanpatrick accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT bergeronvance accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence AT derouinfrancis accumulationandtransportofmicrobialsizeparticlesinapressureprotectedmodelburnunitcfdsimulationsandexperimentalevidence |