Importance of saturation power optimization in improving the estimation accuracy of chemical exchange rates with the omega plot: a simulation study

The omega plot is a facile method to quantify chemical exchange rates. However, its accuracy decreases in measuring protons at small chemical shifts and suboptimal saturation powers may be one of the reasons. In this study, simulations were performed to identify optimal saturation powers by evaluating the consistency between desired omega plot and simulated results. Results showed substantially improved estimation accuracy of exchange rates with saturation powers optimized. The current study confirmed the crucial influence of saturation powers on omega plot performance, and demonstrated the importance of saturation power optimization in improving the estimation accuracy of chemical exchange rates.

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