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Our efforts are focused on the application of automation to Process R&D. This article will describe the application of high throughput methods to rapidly investigate a development challenge. In this case we needed to study the deprotection of N ‘-trifluoroacetyl- S - tert -leucine- N -methylamide which afforded a lower than expected yield when subjected to standard deprotection reaction conditions. This chemistry was systematically investigated by a sequential series of high-throughput experiments using various automated and semi-automated systems. The studies included a combinatorial screen of discrete reaction conditions, a screening DOE to study a broad range of continuous factors, and a two-factor central composite design to optimize the important factors. By applying high-throughput methods we were able to optimize the yield of the reaction by performing a large number of experiments in a short period of time.
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Rosso et al. (2001) studied this question.
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