Establishment of Aspergillus flavus' growth predictive model in corn flour with different water contents
The growth predictive model of Aspergillus flavus was studied in this topic,using the method of predictive microbiology to do research on the growth law of Aspergillus flavus which ruined corn flour by mildew,in this way,the senior-level growth predictive model and secondary-level growth predictive model of Aspergillus flavus in corn flour were established.The results showed that: at 20 ℃,28 ℃,the growth curve of Aspergillus flavus was a typical S-type.Boltzmann and Logistic model could be used to fit this growth curve,the R2 of which reached 0.9400.The secondary-level square root model based on the senior-level(specific rate) could be used to predict the growth rate of Aspergillus flavus in corn flour with different moisture contents under different growth temperatures,the R2 of which reached 0.9200.This predictive model could help to provide a theoretical basis for the best storage conditions and shelf life of corn flour.