title: A novel approach for estimating growth phases and parameters of bacterial population in batch culture.
abstract: Using mathematical analysis, a new method has been developed for studying the growth kinetics of bacterial populations in batch culture. First, sampling data were smoothed with the spline interpolation method. Second, the instantaneous rates were derived by numerical differential techniques and finally, the derived data were fitted with the Gaussian function to obtain growth parameters. We named this the Spline-Numerical-Gaussian or SNG method. This method yielded more accurate estimates of the growth rates of bacterial populations and new parameters. It was possible to divide the growth curve into four different but continuous phases based on changes in the instantaneous rates. The four phases are the accelerating growth phase, the constant growth phase, the decelerating growth phase and the declining phase. Total DNA content was measured by flow cytometry and varied depending on the growth phase. The SNG system provides a very powerful tool for describing the kinetics of bacterial population growth. The SNG method avoids the unrealistic assumptions generally used in the traditional growth equations.
authors.affiliation: State Key Laboratory of Microbial Technology, Shandong University, Ji'nan 250100, China.
authors.forename: Huaiqiang
authors.initials: H
authors.lastname: Zhang
authors.forename: Yuqing
authors.initials: Y
authors.lastname: Liu
authors.forename: Bo
authors.initials: B
authors.lastname: Liu
authors.forename: Peiji
authors.initials: P
authors.lastname: Gao
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000166:cytology / Q000254:growth & development* / Q000378:metabolism; D001426:Bacterial Proteins / Q000378:metabolism; D001431:Bacteriological Techniques / Q000379:methods*; D002455:Cell Division / Q000502:physiology; D004269:DNA, Bacterial / Q000378:metabolism; D004926:Escherichia coli / Q000166:cytology / Q000254:growth & development / Q000378:metabolism; D008954:Models, Biological; D013997:Time Factors
chemical_list: D001426:Bacterial Proteins; D004269:DNA, Bacterial