TITLE: TWO STEP OPTIMISATION METHOD FOR THE SYNTHESIS OF MOLECULAR IMPRINTED POLYMER FOR DETECTION AND SEPARATION OF NORFLOXACIN.
GENERAL OBJECTIVE:
Screening for the best combination of chemical reagents in two steps for molecular imprinted polymer in the detection and separation of norfloxacin.
SPECIFIC OBJECTIVES:
Screen for the best functional monomer, with norfloxacin as template and to optimise its volume ratio to the imprinting template molecule by differential ultraviolet detection.
Screen for the best combination of crosslinker and porogen by reverse prediction theory.
Analyse the adsorption capacity of the resultant molecularly imprinted polymer for norfloxacin.
SCIENTIFIC PROBLEM:
Norfloxacin, a first generation fluoroquinolone drug is one the most frequently prescribed antibiotics. The body excretes this drug unaltered within a period of 24h, producing copious amounts of pharmaceutical waste which is not easy to dispose of, posing a risk to the environment and increasing the chances of antimicrobial drug resistance . This necessitates the detection and quantification of Norfloxacin, for the good of human safety. Numerous researchers have devised ways of detecting and quantifying Norfloxacin, including the use of molecularly imprinted polymers. However the optimisation of the synthesis process has had some limitations .The purpose of this study is to show that the problems caused by conventional optimisation methods can be solved by using a two-step method involving differential ultraviolet detection and reverse prediction theory.
SUMMARY OF BIBLIOGRAPHIC RESEARCH:
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