FACTORIAL ANALYSIS OF GROWTH MARKERS FOR MESOPHILIC BACTERIUM, Pseudomonas putida (ATCC 49128)

Abstract

Study into bacterial growth pattern from conventional perspectives is quite defective and strenuous, due to its failure to put down footprint concerning the interactions or simply complementary effects of these factors influencing the bacterial growth. In this study, a restorative screening of salient and collaborative effects to Pseudomonas putida growth markers was evaluated by two levels (24-1) FFDOE. Growth was found to respond remarkably on nutrient concentration coupled with other independent variables. The factorial models have been established from experimental design to study the individual and interactions effects toward the response within the selected variables of nutrient concentration, acclimatization, agitation, and temperature. These were statistically validated using analysis of variance (ANOVA). The results revealed that the model terms were invigoratingly significant with F-value of 415.17 at p <0.002. The model term having the most distinctive impact on the response was nutrient concentration. And the magnitude of the influence is in the ascending order A > D > AD > C > AC. Based on the R2 and adjusted R2 higher than 95%, the estimated model terms spell high degree of relationship between observed and predicted values, thus the prediction ability of the models is maintained. It could, therefore, be concluded that nutrient concentration, temperature, and agitation were variables that greatly influence growth at a specific optimal range.