Modeling Supersaturated Dissolution Data

However, the use of (5.24) should not be considered as a panacea for modeling nonmonotonic dissolution curves. Obvious drawbacks of the model (5.24) are  

The data on the ascending limb of the dissolution curve, if any, should be ignored. 

The time required to reach the maximum value of the dissolved fraction of drug should be adopted as the time interval between successive generations. 

The time values of the data points that can be used for fitting purposes should be integer multiples of the time unit adopted. 

Further, when k takes values much larger than 1/0, (5.24) exhibits chaotic behavior following the period-doubling bifurcation (cf. Chapter 3). For example, (5.24) leads to chaos when 1 /9 = 0.25 and k is greater than 0.855. Despite the aforementioned disadvantages, the model offers the sole approach that can be used to describe supersaturated dissolution data. In addition, the derivation of (5.24) relies on a model built from physical principles, i.e., a reaction-limited 

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