. 2011 Nov 30;32(3):548–559. doi: 10.1038/jcbfm.2011.162

Table 1. Flux values and uncertainties determined by Monte-Carlo simulation.

μmol/g per minute	V_tca^g	ΔV_tca^g	V_x^g	ΔV_x^g	V_gt^g	ΔV_gt^g	V_nt	ΔV_nt	V_tcaⁿ	ΔV_tcaⁿ	V_xⁿ	ΔV_xⁿ	V_gtⁿ	ΔV_gtⁿ	RSS (AU)	ΔRSS (AU)
Case 1	0.314	0.354	0.424	0.370	0.048	0.007	0.455	0.332	0.507	0.274	0.476	0.275	0.189	0.072	11,902	3,139
Case 2	0.059	0.003	0.590	0.025	0.054	0.002	0.438	0.339	0.429	0.193	0.429	0.193	0.214	0.097	12,315	3,446
Case 3	0.063	0.003	0.633	0.031	0.058	0.003	0.464	0.382	0.475	0.213	0.475	0.213	0.238	0.106	13,159	3,669
Case 4	0.061	0.003	0.615	0.033	0.056	0.003	0.488	0.387	0.490	0.211	0.490	0.211	0.245	0.106	13,452	3,740
True value	0.060	—	0.570	—	0.054	—	0.170	—	0.560	—	0.570	—	0.282	—	—	—

Table summarizing the values and uncertainties found in the fit of the simulated data with V_tca^g=0.06, V_tcaⁿ=0.56, V_x^g=V_xⁿ=0.57 and V_nt=0.17 μmol/g per minute, under the different constraints (Cases 1 to 4) presented in Materials and methods. To enable a direct comparison between the Cases 1 to 2 and Cases 3 to 4, the residual sum of squares (RSS) was calculated starting from the second minute. The uncertainties were evaluated with Monte-Carlo simulations (500 artificial data).