Quantitative Analysis of Multicomponents in Qufeng Zhitong Capsule and Application of Network Pharmacology to Explore the Anti-Inflammatory Activity of Focused Compounds

Table 2

Linear regression, LoD and LoQ, intra- and interday precisions, repeatability, stability, and recovery for 16 compounds.

Compound	Regression equation	R ^2	Linear range (μg mL^−1)	LoD (μg mL^−1)	LoQ (μg mL^−1)	Precision (RSD, %)		Repeatability (RSD, %; n = 6)	Stability (RSD, %; n = 7)	Recovery (mean ± SD, %; n = 6)
						Intraday n = 6	Interday n = 3
Gaa	y = 828748x − 9753	0.9998	3.111–199.1	0.1152	0.3457	0.3	1.6	1.6	0.5	96.5 ± 1.8
Pra	y = 1108659x + 303	>0.9999	0.1664–10.65	0.1664	0.3329	2.0	1.0	1.5	1.4	93.1 ± 2.4
Nea	y = 1453761x + 4194	0.9998	0.3793–24.28	0.04215	0.1264	1.7	1.2	0.9	2.4	95.3 ± 2.8
Cha	y = 1425838x + 7909	0.9998	0.9302–59.53	0.1034	0.3101	0.6	0.6	0.6	1.6	95.0 ± 1.6
Cra	y = 1269077x + 3147	0.9999	0.3795–24.29	0.1265	0.3795	2.6	2.9	0.7	2.4	97.3 ± 2.6
Loa	y = 1003910x + 8409	>0.9999	4.240–271.4	0.1570	0.4711	0.9	0.9	1.1	0.4	92.8 ± 1.5
Cor	y = 1418562x − 2143	0.9999	1.335–85.44	0.1483	0.4450	0.4	1.4	2.0	0.3	99.1 ± 1.7
Log	y = 1103212x + 2477	>0.9999	0.9607–61.48	0.1067	0.3202	0.3	1.0	2.8	0.5	97.8 ± 2.6
IaB	y = 1108570x − 504	>0.9999	0.3113–19.92	0.1038	0.3113	0.4	0.8	2.8	1.5	104.7 ± 2.6
IaA	y = 1359428x − 399	0.9999	0.2183–13.97	0.07278	0.2183	0.6	2.4	2.3	1.2	108.2 ± 1.0
IaC	y = 1712250x − 4749	0.9994	0.3990–25.54	0.1330	0.3990	1.2	2.4	2.9	1.0	106.6 ± 3.1
AnA	y = 1366474x + 2662	>0.9999	1.154–73.85	0.04274	0.1282	1.1	1.6	1.1	0.3	100.6 ± 1.1
Coa	y = 2007500x + 2657	>0.9999	0.7836–50.15	0.02118	0.08707	0.4	1.4	1.0	0.2	103.0 ± 1.2
Ost	y = 2326874x − 3601	>0.9999	1.357–86.86	0.05026	0.1508	0.4	1.0	1.0	0.1	107.6 ± 2.6
Col	y = 1723094x − 22	>0.9999	0.2003–12.82	0.06675	0.2003	1.4	2.4	1.3	1.3	102.4 ± 1.8
AsD	y = 118179x − 714	>0.9999	17.28–1106	1.728	3.455	2.4	1.9	1.4	0.6	92.1 ± 1.5