Identification and statistical optimization of a novel alginate polymer extracted from newly isolated Synechocystis algini MNE ON864447 with antibacterial activity

Table 2 Plackett–Burman design statistical analysis for alginate production from S. algini MNE ON864447

Factor	Coefficient Estimate	Main effect	% contribution	F-value	P-value
Intercept	7.44			1153.53	< 0.0001
A-NaHCO₃	−0.1276	−0.25	0.25	47.62	0.0062
B-NaNO₃	0.5822	1.16	5.37	991.71	< 0.0001
C-K₂HPO₄	−0.6785	−1.35	7.29	1347.10	< 0.0001
E-CaCl₂	−0.5145	−1.02	4.19	774.56	0.0001
F-Citric acid	−0.7817	−1.56	9.68	1788.06	< 0.0001
G-Ferric ammonium citrate	−0.1242	−0.24	0.244	45.17	0.0067
H-EDTA	0.4461	0. 89	3.15	582.27	0.0002
J-Trace metal	0.1352	0.27	0.28	53.46	0.0053
K-NaCl	0.1639	0.32	0.42	78.61	0.0030
L-Temperature	−1.45	−2.9	33.5	6192.35	< 0.0001
N-working volume	0.8747	1.74	12.12	2238.78	< 0.0001
O- Inoculum size	0.8355	1.67	11.06	2042.74	< 0.0001
P-Agitation speed	0.1088	0.217	0.18	34.61	0.0098
Q-Culture old	0.1201	0.24	0.22	42.21	0.0074
R-Incubation period	0.8599	1.719	11.72	2163.49	< 0.0001
S-Dummy 4	0.1075	0.214	0.18	33.79	0.0101
R²	0.9998	Std. Dev	0.0827
Adjusted R²	0.9990	Mean	7.44
Predicted R²	0.9928	C.V. %	1.11
Adeq Precision	124.1373	PRESS	8.65

ISSN: 1475-2859