School of Civil Engineering, Dalian University of Technology, Dalian, China.
School of Life Science and Biotechnology, Dalian University of Technology, Dalian, China.
Sci Rep. 2017 Apr 3;7:44190. doi: 10.1038/srep44190.
The microbial contamination of central air conditioning system is one of the important factors that affect the indoor air quality. Actual measurement and analysis were carried out on microbial contamination in central air conditioning system at a venue in Dalian, China. Illumina miseq method was used and three fungal samples of two units were analysed by high throughput sequencing. Results showed that the predominant fungus in air conditioning unit A and B were Candida spp. and Cladosporium spp., and two fungus were further used in the hygrothermal response experiment. Based on the data of Cladosporium in hygrothermal response experiment, this paper used the logistic equation and the Gompertz equation to fit the growth predictive model of Cladosporium genera in different temperature and relative humidity conditions, and the square root model was fitted based on the two environmental factors. In addition, the models were carried on the analysis to verify the accuracy and feasibility of the established model equation.
中央空调系统的微生物污染是影响室内空气质量的重要因素之一。对中国大连某场馆的中央空调系统中的微生物污染进行了实际测量和分析。采用 Illumina miseq 方法，对两个机组的三个真菌样本进行高通量测序分析。结果表明，空调机组 A 和 B 中的主要真菌分别为 Candida spp.和 Cladosporium spp.，并进一步将两种真菌用于湿热响应实验。基于湿热响应实验中 Cladosporium 的数据，本文采用 logistic 方程和 Gompertz 方程拟合不同温度和相对湿度条件下 Cladosporium 属的生长预测模型，并基于两个环境因素拟合平方根模型。此外，还对模型进行了分析，以验证所建立的模型方程的准确性和可行性。
