空调系统过滤器表面真菌类微生物生长预测初级模型研究

his study is about modeling growth predictions for two dominant fungi, Penicillium spp. and Cladosporium spp., which had been previously separated from the central air conditioning system of a gymnasium in Dalian. Using predictive microbiology theory, the hyphal models in the constant temperature condition (25℃), the colony models in the constant and variable temperature condition (25℃ and 22℃~28℃) for Penicillium spp. and Cladosporium spp. were established respectively. Simulation results showed that all R values of hyphal models and colony models fitting the requirements when Logistic model and Gompertz model were used; Comparing the two models, Logistic model was more suitable for fitting single fungal mycelial growth because of less influence factors, especially for Cladosporium spp., while Gompertz model was more accurate for two fugal conlony growth when variable temperature considered in. Additionally, the relative growth rate of hypha morphology (0.1451~0.1525 /h) was faster than that of colony morphology (0.0131~0.0501 /h). Variable temperature condition reduced the biomass compared with constant temperature condition, and it would help to control the concentration of microorganisms in the air conditioning.