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Application of mathematical models in combination with Monte Carlo simulation for prediction of isoflurane concentration in an operation room theater.

Zare Sakhvidi MJ, Barkhordari A, Salehi M, Behdad S, Fallahzadeh H - Ind Health (2013)

Bottom Line: The models relatively gave more conservative results than the measurements.There was no significant difference between the models and direct measurements results.Our results also suggest that incorporating the role of parameters variability by conducting Monte Carlo simulation can enhance the strength of prediction in occupational hygiene decision making.

View Article: PubMed Central - PubMed

Affiliation: Department of Occupational Health, Faculty of health, Shahid Sadoughi University of Medical Sciences, Iran.

ABSTRACT
Applicability of two mathematical models in inhalation exposure prediction (well mixed room and near field-far field model) were validated against standard sampling method in one operation room for isoflurane. Ninety six air samples were collected from near and far field of the room and quantified by gas chromatography-flame ionization detector. Isoflurane concentration was also predicted by the models. Monte Carlo simulation was used to incorporate the role of parameters variability. The models relatively gave more conservative results than the measurements. There was no significant difference between the models and direct measurements results. There was no difference between the concentration prediction of well mixed room model and near field far field model. It suggests that the dispersion regime in room was close to well mixed situation. Direct sampling showed that the exposure in the same room for same type of operation could be up to 17 times variable which can be incorporated by Monte Carlo simulation. Mathematical models are valuable option for prediction of exposure in operation rooms. Our results also suggest that incorporating the role of parameters variability by conducting Monte Carlo simulation can enhance the strength of prediction in occupational hygiene decision making.

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Time profile of isoflurane concentration by WMR and NF-FF models in deterministicmode.
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fig_002: Time profile of isoflurane concentration by WMR and NF-FF models in deterministicmode.

Mentions: The fixed values of the model parameters were used in deterministic calculation ofconcentration by both models. Mean generation rate (G) obtained by field measurements wasused in deterministic calculations. Figure 2Fig. 2.


Application of mathematical models in combination with Monte Carlo simulation for prediction of isoflurane concentration in an operation room theater.

Zare Sakhvidi MJ, Barkhordari A, Salehi M, Behdad S, Fallahzadeh H - Ind Health (2013)

Time profile of isoflurane concentration by WMR and NF-FF models in deterministicmode.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4202737&req=5

fig_002: Time profile of isoflurane concentration by WMR and NF-FF models in deterministicmode.
Mentions: The fixed values of the model parameters were used in deterministic calculation ofconcentration by both models. Mean generation rate (G) obtained by field measurements wasused in deterministic calculations. Figure 2Fig. 2.

Bottom Line: The models relatively gave more conservative results than the measurements.There was no significant difference between the models and direct measurements results.Our results also suggest that incorporating the role of parameters variability by conducting Monte Carlo simulation can enhance the strength of prediction in occupational hygiene decision making.

View Article: PubMed Central - PubMed

Affiliation: Department of Occupational Health, Faculty of health, Shahid Sadoughi University of Medical Sciences, Iran.

ABSTRACT
Applicability of two mathematical models in inhalation exposure prediction (well mixed room and near field-far field model) were validated against standard sampling method in one operation room for isoflurane. Ninety six air samples were collected from near and far field of the room and quantified by gas chromatography-flame ionization detector. Isoflurane concentration was also predicted by the models. Monte Carlo simulation was used to incorporate the role of parameters variability. The models relatively gave more conservative results than the measurements. There was no significant difference between the models and direct measurements results. There was no difference between the concentration prediction of well mixed room model and near field far field model. It suggests that the dispersion regime in room was close to well mixed situation. Direct sampling showed that the exposure in the same room for same type of operation could be up to 17 times variable which can be incorporated by Monte Carlo simulation. Mathematical models are valuable option for prediction of exposure in operation rooms. Our results also suggest that incorporating the role of parameters variability by conducting Monte Carlo simulation can enhance the strength of prediction in occupational hygiene decision making.

Show MeSH
Related in: MedlinePlus