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.