Overview
The aim of this whitepaper is to bring together the theory, principles and key equations that are required for method translation and demonstrate their use for the translation of isocratic and gradient LC methods. Additionally, common pitfalls and key considerations of LC system characteristics are discussed, to help maximize the chances of successful method translation.
Key Objectives:
- Learn the process required to translate LC methods that accurately replicate the selectivity, resolution and performance of the original method
- Review the most common issues encountered in translating methods and their potential solutions
- Review examples of the LC method translation process