5.2.1. Screening of factors using the Plackett-Burman factorial
design approach
A total of eleven factors were investigated, including the
concentrations of different nitrogen (N) and carbon (C) sources, pH, the
concentration of LB media, as well as the concentrations of salts and
metal ions (Supplementary Table 1). To design the experimental layout, a
Plackett-Burman factorial design consisting of sixteen experiments was
employed using DoE software (Supplementary Table. 1). Following the
execution of the experiments via BioLector, statistical analyses were
conducted on the obtained responses. The results, including model
validation parameters and the significance values of the variables, were
presented in ANOVA (Analysis of Variance) and fit statistic tables.
Variables with significant effects (p-values < 0.05) were
identified based on the ANOVA table, as well as through the examination
of the Half-normal plot, Pareto chart, and Perturbation chart of
standardized effects. These analytical techniques were employed to
assess the significance and influence of each variable, facilitating the
identification of key factors that significantly impacted the observed
responses in the experiment.