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首页> 外文期刊>Aerobiologia >Assessment and modeling of indoor fungal and bacterial bioaerosol concentrations
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Assessment and modeling of indoor fungal and bacterial bioaerosol concentrations

机译：室内真菌和细菌生物气溶胶浓度的评估和建模

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In recent years, potentially harmful microorganisms such as Stachybotrys chartarum have garnered national attention when implicated with indoor air problems. However, accurate assessment of biologically contaminated indoor air has proven to be prohibitively labor, time, cost, and training intensive. The model developed in this study accurately predicts the levels of biological indoor air contaminants for the Greater Cincinnati area using a number of independent variables that can be quickly calculated without expensive, time-consuming methods. Thirty-nine single-family residences in the Greater Cincinnati area were sampled using Andersen two-stage viable microbial particle sizing sampler instruments loaded with Malt Extract Agar, Trypicase Soy Agar, Czapek's Cellulose Agar, and Corn Meal Agar. After air sampling, the Petri dishes were incubated, the number of colonies from each plate were enumerated, and the total number of viable colony forming units per cubic meter of air were calculated. Independent variables (indoor relative humidity, indoor temperature, outdoor mold, season, water damage, visible mold, damaged materials, home age, remediation factors, health questionnaire, number of occupants, and indoor pets) were then compared to the dependent variable (fungal and bacterial bioaerosol counts) by multiple linear regression using Analyze-it~(~R) for Microsoft Excel~(~R). The final air model predicted the total number of viable colony forming units per cubic meter with 97% accuracy; the goal for this model was 90% accuracy.
机译：近年来，与室内空气问题有关的潜在有害微生物，如水生短枝杆菌（Stachybotrys chartarum）已引起全国关注。但是，事实证明，对被生物污染的室内空气进行准确评估非常费力，费时，费钱且需要大量培训。这项研究中开发的模型使用许多独立变量可以准确地预测大辛辛那提地区的室内生物空气污染物水平，而无需昂贵，费时的方法就可以快速计算出这些变量。使用装有麦芽提取琼脂，Trypicase大豆琼脂，Czapek纤维素琼脂和玉米粉琼脂的安徒生两阶段可行微生物颗粒上样器，对大辛辛那提地区的39个单户住宅进行了采样。空气取样后，将培养皿培养，计数每个平板的菌落数，并计算每立方米空气中可行的菌落形成单位总数。然后将自变量（室内相对湿度，室内温度，室外霉菌，季节，水破坏，可见霉菌，损坏的材料，家庭年龄，补救因素，健康调查表，居住人数和室内宠物）与因变量（真菌）进行比较。以及使用Microsoft Excel〜（〜R）的Analyze-it〜（〜R）进行多元线性回归分析。最终的空气模型预测了每立方米可行菌落形成单位的总数，准确性为97％；该模型的目标是90％的准确性。

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