Survival of Unstressed and Acid-, Cold-, and Starvation-Stress-Adapted Listeria monocytogenes in Ham Extract with Hops Beta Acids and Consumer Acceptability of HBA on Ready-to-Eat Ham

Table 1

Comparison of RMSE and AIC for the proposed models fitting the growth of unstressed or acid-, cold-, and starvation-stress-adapted Listeria monocytogenes in the presence of hops beta acids (HBA) in ham extract.

Stress types	HBA (mg/L)		Reduced growth model				Full growth model
			No lag phase	Reduced Huang	Reduced Barany	Buchanan two-phase linear	Huang	Baranyi	Modified Gompertz	Buchanan three-phase linear
Unstressed	0	RMSE	0.346	0.593	0.580	0.593	0.234	0.238	0.265	0.211
		AIC	−44.214	−18.300	−19.320	−18.300	−61.009	−60.207	−55.032	−66.168
	4.44	RMSE	—	0.299	0.297	0.300	0.290	0.291	0.290	—
		AIC	—	−51.095	−48.294	−51.022	−50.866	−50.623	−50.713	—
	10.0	RMSE	—	0.629	0.635	0.629	—	0.643	—	—
		AIC	—	−15.486	−15.008	−15.474	—	−12.545	—	—
Acid	0	RMSE	0.291	—	0.738	0.804	0.178	0.152	0.184	1.161
		AIC	−52.482	—	−7.813	−3.679	−74.253	−81.857	−72.522	15.801
	4.44	RMSE	0.321	—	0.679	0.708	0.209	0.176	0.245	0.169
		AIC	−47.684	—	−11.814	−9.806	−66.629	−74.901	−58.848	−76.699
	10.0	RMSE	0.469	0.581	0.603	0.581	0.302	0.313	0.330	—
		AIC	−29.520	−19.302	−17.465	−19.306	−48.834	−47.104	−44.580	—
Cold	0	RMSE	0.158	—	0.918	1.489	—	0.162	0.249	0.691
		AIC	−81.759	—	2.708	25.898	—	−78.793	−58.080	−9.139
	4.44	RMSE	0.108	—	0.848	1.379	—	0.106	0.218	0.736
		AIC	−100.221	—	−1.093	22.216	—	−99.284	−64.410	−6.110
	10.0	RMSE	0.209	—	0.777	1.053	0.208	0.206	0.258	0.892
		AIC	−68.320	—	−5.309	9.263	−66.632	−67.189	−56.481	3.147
Starvation	0	RMSE	0.544	—	1.103	1.174	0.354	0.343	0.365	0.357
		AIC	−22.455	—	11.520	14.489	−41.242	−42.801	−39.817	−40.759
	4.44	RMSE	0.464	—	1.012	1.043	0.216	0.189	0.251	0.263
		AIC	−30.056	—	7.391	8.824	−64.852	−71.459	−57.782	−55.544
	10.0	RMSE	0.792	0.815	0.843	0.815	0.523	0.524	0.529	0.544
		AIC	−4.420	−3.016	−1.396	−3.004	−22.488	−22.429	−21.937	−20.591

Note. RMSE: root mean sum of squared errors; AIC: Akaike Information Criterion (the smaller the better); “—”: model is unlikely for the data.