Iterative Optimization Technology (IOT) involves the use of an optimization computation using only pure component spectra collected prior to a batch and mixture component spectra collected during a batch. The proposed approach has been successfully applied to many practical projects (solvent mixtures, chemical reactions, feed-frame process, blending process). It is expected that the use of IOT will enhance the adoption of PAT as a routine analytical tool in project labs, especially for process understanding and early development activities.
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