Figure 5.

Example of probability density functions for metabolic fluxes estimated during a double infusion of 70% [1,6-¹³C₂]glucose and 100% [1,2-¹³C₂]acetate by MC simulation (500 draws), with random noise (s.d.=0.2 μmol/g), human synthetic data set, 20 experimental time points per curve (150 min duration, with a 7.5 min time interval between experimental points). The bonded cumomer model improves the precision of all metabolic fluxes compared to the positional model (solid line). The specific model used for this figure did not include glutamine dilution (V_DILGLN = 0). Bonded cumomers give a similar improvement in precision when glutamine dilution is included.