Optimization of Ultrasound-Assisted Extraction Followed by Macroporous Resin Purification for Maximal Recovery of Functional Components and Removal of Toxic Components from Ginkgo biloba Leaves

Table 2

Analysis of variance and regression analysis of Plackett-Burman design data for the prediction of significant extraction variables.

Regression data
Source	Y1 (The yield of flavonoids)				Y2 (The yield of ginkgolides)				Y1 (The yield of alkylphenols)
	Effect	F-value	P-value	Inference	Effect	F-value	P-value	Inference	Effect	F-value	P-value	Inference
Model		61.03	0.0007	Significant		19.15	0.0063	Significant		29.64	0.0027	Significant
A	0.34	4.21	0.1094		0.88	9.86	0.0349	Significant	1.06	9.61	0.0362	Significant
B	2.40	218.27	0.0001	Significant	2.36	69.76	0.0011	Significant	4.18	152.54	0.0002	Significant
C	0.17	1.05	0.3629		0.016	0.004	0.9556		0.42	1.51	0.2860
D	0.24	2.06	0.2242		0.38	1.86	0.2447		0.82	5.81	0.0735
E	2.26	194.69	0.0002	Significant	1.78	40.17	0.0032	Significant	1.98	34.29	0.0042	Significant
F	0.34	4.21	0.1094		0.68	5.90	0.0721		0.05	0.022	0.8898
G	0.26	2.69	0.1760		0.72	6.49	0.0635		0.66	3.68	0.1274