STATISTICAL MODELING FOR PURIFICATION OF RIFAMPICIN USING RSM

A. V. Lalitha*, Dr. B. Sarada, Dr. SK. Khasim Beebi, Dr. P. Bala Murali Krishna

ABSTRACT

The aim of the present study is to develop a model to optimize batch experiments .The sorption data fitted with various isotherm models and Langmuir model was the best one with correlation coefficient of 0.999. Kinetic studies indicated that the process followed well pseudo first order model. Thermodynamic studies revealed that the process is exothermic and, spontaneous. Different concentrations of antibiotic were prepared and for the purification of rifampicin, the effect of dosage of adsorbent, pH, temperature and contact time were observed. The adsorbent used was Amberlite XAD-1180. The effect was analyzed by reading the absorbance at 425nm. The Desorption of the antibiotic was performed using organic solvents and was analyzed by studying the absorbance at 425nm. The modeling was done statistically by preparing a model, using central composite design by taking the parameters dosage of adsorbent, pH, temperature and contact time as input factors. Analysis was done as per the runs and 3D plots were deduced. The experimental results coincide with the calculations of the model.

Keywords: Biosorption, Rifampicin, Amberlite XAD-1180, Langmuir isotherm, Statistical modeling, RSM (Response surface methodology).