title: Growth and Modeling of Staphylococcus aureus in Flour Products under Isothermal and Nonisothermal Conditions.
abstract: This study was conducted to investigate the growth of Staphylococcus aureus in traditional Chinese flour products under isothermal (10, 15, 20, 25, 30, and 37°C) and nonisothermal (10 to 20, 20 to 30, and 25 to 37°C) conditions. Then, models for the growth of S. aureus in flour products as a function of storage temperature, pH, and water activity (aw) were developed, and the goodness of fit of models was evaluated using the determination coefficient (R2), root mean square error (RMSE), bias factor (Bf), and accuracy factor (Af). Based on the above information, S. aureus growth in steamed bread under nonisothermal conditions was predicted from experiments performed under isothermal conditions. It was shown that different combinations of temperature and awin flour products have a strong influence on the growth of S. aureus . The modified Gompertz model was found to be more suitable for describing the growth data of S. aureus in flour products, with an R2of >0.99 and an RMSE of <0.37. The newly developed secondary models were validated, and for the specific growth rate and the lag time, the R2values were 0.96 and 0.97, Afwas 1.12 and 1.06, and Bfwas 1.13 and 1.05, respectively. The predicted nonisothermal growth curves of S. aureus were in agreement with the reported experimental ones, with RMSE <0.29, Afvalue 1.02 to 1.09, and Bfvalue 0.92 to 0.99. These results indicated that the predictive models provided useful information for the establishment of safety standards and a risk assessment for S. aureus in flour products.
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, People's Republic of China.
authors.forename: Hui
authors.initials: H
authors.lastname: Cao
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, People's Republic of China.
authors.forename: Tingting
authors.initials: T
authors.lastname: Wang
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, People's Republic of China.
authors.forename: Min
authors.initials: M
authors.lastname: Yuan
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, People's Republic of China.
authors.forename: Jingsong
authors.initials: J
authors.lastname: Yu
authors.affiliation: School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, People's Republic of China.
authors.forename: Fei
authors.initials: F
authors.lastname: Xu
mesh_terms: D005433:Flour; D005516:Food Microbiology; D007700:Kinetics; D008954:Models, Biological; D013203:Staphylococcal Infections; D013211:Staphylococcus aureus; D013696:Temperature
keywords: Flour products; Nonisothermal prediction; Primary model; Secondary model; Staphylococcus aureus