Predicting retention under a range of gradient and flow rate conditions

Other retention prediction systems are only very accurate when the conditions used to measure retention are rigorously reproduced. This leaves no (or at least very little) room for method development. One huge advantage of this approach is that you can accurately and easily predict the retention of compounds under varying flow rate and gradient conditions. This leaves significant room for method development.