The potential biodegradation of hydrocarbon contaminants
by microorganisms is dependent on the environmental
factors and the nutrients available. In this study culture
conditions like temperature, pH
, and nitrogen source were
optimized by conventional one-factor at a time
experimentation and the combination of other nutrients
(nitrogen, phosphorus, magnesium, and sulfur) was
optimized by using design of experiments (DOE)
combined with grey relational analysis (GRA). Using
GRA the multiple outputs were analyzed and normalized
to get a grey grading (best combination).