Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME

Thiazolidinedione, often shortened to TZD or glitazone, helps lower insulin resistance, which is the underlying problem for many people with type 2 diabetes. The two most known glitazones are pioglitazone (PGZ), brand name medicine Actos®, and rosiglitazone (RSG), Avandia®. This study presented a multivariate optimization in microextraction procedure employing Fractional Factorial Design (FFD) combined Desirability Function (DF) determine metabolites biological samples. Microextraction requires several parameters be optimized; however, of them still use univariate optimization. Finding optimum conditions by simple response relatively simple, but problems, case microextractions, more complex when it has responses. For example, changing one factor that promotes may suppress effect others. Thus, this was applied bioanalytical methods determination metabolites, HPLC other CE, both using Hollow Fiber Liquid-Phase (HF-LPME). results establish optimal values elucidate how factors affect HF-LPME perform extraction efficiency TZDs. Additionally, demonstrates DF can an important tool optimize procedures.