Table 4.

Statistical analysis of model fits on variable temperature [Gluc]_t reaction progress curves ([Gluc]₀= 250 µM). AIC analysis was conducted between Lambert W(x) (simple) and modified Lambert W(x) (advanced) model fits in GraphPad Prism 6.0. For each substrate-wavelength-temperature dataset, the ΔAICc is reported along with the percent probability that the modified Lambert W(x) model is preferred. DNC = did not converge; NT = not tested.

			Temperature (°C)
Entry	Statistical Parameter	λ (nm)	5	15	25	37	45	50	55	60	65	70	75	85
[5]t	ΔAICc	220	DNC	−3.83	−3.54	−3.93	−7.16	NT	−3.65	5.28	13.46	12.04	−2.15	NT
		227	DNC	DNC	−3.45	−3.95	−7.31	NT	−3.37	−1.69	8.20	6.02	25.34	NT
		235	−3.92	−3.88	−3.92	−3.95	−7.29	NT	−3.51	−2.49	12.17	9.68	−2.58	NT
		241	−3.93	DNC	−3.96	−3.90	−7.52	NT	−3.60	−2.77	9.88	8.90	−2.41	NT
	Probability (%)	220	DNC	12.8%	14.5%	12.3%	2.7%	NT	13.9%	93.3%	99.9%	99.8%	25.4%	NT
		227	DNC	DNC	15.1%	12.2%	2.5%	NT	15.7%	30.0%	98.4%	95.3%	>99.99%	NT
		235	12.3%	12.6%	12.3%	12.2%	2.5%	NT	14.7%	22.3%	99.8%	99.2%	21.6%	NT
		241	12.3%	DNC	12.1%	12.5%	2.3%	NT	14.2%	20.1%	99.3%	98.9%	23.1%	NT
[6]t	ΔAICc	227	−3.92	−4.18	−4.33	− 11.71	−18.68	−54.06	−27.09	−38.61	−3.91	NT	18.74	−3.81
		235	−3.93	−4.23	−4.70	− 11.40	−18.28	−63.53	−26.77	−41.61	−3.89	NT	−0.18	65.30
		241	−3.91	−3.93	−4.79	− 10.51	−17.91	−61.51	−26.21	−42.13	−3.89	NT	10.55	0.19
	Probability (%)	227	12.3%	11.0%	10.3%	0.3%	<0.01%	<0.01%	<0.01%	<0.01%	12.4%	NT	>99.99%	13.0%
		235	12.3%	10.8%	8.7%	0.3%	0.0%	<0.01%	<0.01%	<0.01%	12.5%	NT	47.7%	>99.99%
		241	12.4%	12.3%	8.4%	0.5%	0.0%	<0.01%	<0.01%	<0.01%	12.5%	NT	99.5%	52.4%