کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2636666 1563454 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mathematical modeling and simulation of bacterial distribution in an aerobiology chamber using computational fluid dynamics
ترجمه فارسی عنوان
مدل سازی ریاضی و شبیه سازی توزیع باکتریایی در یک محفظه هوا گردشناسی با استفاده از دینامیک سیالات محاسباتی
کلمات کلیدی
انتشار عوامل عفونی از طریق هوا ؛ توزیع ذرات در هوا در محیط داخلی. نمونه برداری از هوا برای عوامل عفونی؛ مدل سازی پیش بینی توزیع باکتریایی در یک محفظه هوا گردشناسی
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروب شناسی
چکیده انگلیسی


• Identified an appropriate fan, its speed, angle and location inside the chamber for uniform distribution of microbes introduced into the air.
• Validated the suitability of air sample collection from the center of the chamber alone as representative of the chambers bacterial content.
• Determined the impact of room furnishings on airflow patterns inside the chamber.

BackgroundComputer-aided design and draft, along with computer-aided engineering software, are used widely in different fields to create, modify, analyze, and optimize designs.MethodsWe used computer-aided design and draft software to create a 3-dimensional model of an aerobiology chamber built in accordance with the specifications of the 2012 guideline from the Environmental Protection Agency for studies on survival and inactivation of microbial pathogens in indoor air. The model was used to optimize the chamber's airflow design and the distribution of aerosolized bacteria inside it.ResultsThe findings led to the identification of an appropriate fan and its location inside the chamber for uniform distribution of microbes introduced into the air, suitability of air sample collection from the center of the chamber alone as representative of its bacterial content, and determination of the influence of room furnishings on airflow patterns inside the chamber.ConclusionsThe incorporation of this modeling study's findings could further improve the design of the chamber and the predictive value of the experimental data using it. Further, it could make data generation faster and more economical by eliminating the need for collecting air samples from multiple sites in the chamber.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: American Journal of Infection Control - Volume 44, Issue 9, Supplement, 2 September 2016, Pages S127–S137
نویسندگان
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