Characterizing the dynamics of amino acid racemization using time-dependent reaction kinetics: A Bayesian approach to fitting age-calibration models

Regardless of the fitted calibration function, we find that the gamma and lognormal distributions more accurately describe prediction uncertainty than to the normal distribution. Three of the four calibration functions perform well (the exception being APK), but no single function performs best in all situations. In general, TDK and CPK (which we show to be a special case of TDK) yield superior model fits to SPK when d/l is close to saturation, and moreover provide useful mechanistically-based functions for calibrating amino acid racemization datasets.