The proposed logistic model for biomass concentration (X)
as a function of time, asshown in Eq. (1), fitted well to all culture
conditions, generating a good predictive model for experimental
microbial growth obtained. Average regression coefficient
(r2) for growth at 25 ◦C was estimated as 0.9520 due to data
dispersion in biomass concentration when reaching the stationary
phase. Similar results were obtained by Jiang et al. (2008),
when Pseudomonas sp was cultured in sucrose to produce PHB,
at temperatures around 25 ◦C the stationary growth phase was
reached in 120 h, reaching high content of PHA of 22.1 g L−1.
In contrast, regression coefficients of 0.9799 and 0.9918 were
found for growth modeling at 30 ◦C and 35 ◦C, respectively