Comparative Analysis of Free Amino Acids and Nucleosides in Different Varieties of Mume Fructus Based on Simultaneous Determination and Multivariate Statistical Analyses

Table 3

Regression equations, detection limits (LOD), quantitation limits (LOQ), intraday and diurnal precision, stability, repeatability, recovery, and matrix effects of 30 components.

No.	Regression equation	Linear range (μg/mL)	R^2	LoD (ng/mL)	LoQ (ng/mL)	Precision (RSD%)		Stability	Repeatability	Recovery		Matrix effect
						Intraday	Interday	(RSD%, n = 6)	(RSD%, n = 6)	Mean	RSD%
						(n = 6)	(n = 3)
1	y = 9421.6x + 136392	0.172–17.23	0.9997	0.18	0.59	2.32	2.31	2.83	2.58	104.38	3.34	1.01
2	y = 810.83x + 56376	0.625–62.51	0.9995	0.78	2.6	2.32	2.26	2.81	2.45	95.54	2.37	1.03
3	y = 26896x + 995235	0.157–15.72	0.9996	5.00	16.67	2.17	2.79	2.22	2.21	97.39	3.69	1.05
4	y = 24.819x + 221136	0.301–22.89	0.9994	2.73	9.00	1.62	2.89	2.39	2.73	104.39	2.18	1.02
5	y = 3025.2x + 667487	0.0623–12.47	0.9993	0.14	0.18	1.96	2.38	2.87	2.57	101.54	3.55	0.96
6	y = 116421x − 47671	0.101–10.13	0.9998	0.16	0.54	1.99	2.77	1.75	2.68	96.56	2.65	0.99
7	y = 472881x − 302217	0.156–25.98	0.9993	4.69	15.63	2.31	1.99	2.61	2.21	99.61	2.01	1.03
8	y = 61.23x + 5234.1	0.00153–15.38	0.9997	0.16	0.55	3.29	2.68	2.51	2.89	97.75	2.44	0.97
9	y = 3025.2x + 667384	0.203–40.69	0.9998	2.73	9.09	2.33	2.38	2.92	2.49	98.33	3.03	0.97
10	y = 15.908x − 156.29	0.306–36.75	0.9998	1.28	4.27	2.79	1.78	1.44	2.11	98.58	2.29	0.97
11	y = 18.312x + 146822	0.301–33.16	0.9999	0.51	1.69	2.35	2.41	2.27	2.23	102.31	2.59	1.01
12	y = 484405x − 927738	4.211–420.13	0.9992	2.75	9.17	1.28	2.31	1.86	2.68	95.02	2.18	0.95
13	y = 431347x − 145124	1.847–184.73	0.9994	0.37	1.23	1.56	2.01	2.46	1.74	97.35	2.56	0.98
14	y = 242.73x + 45133	0.919–36.75	0.9996	1.85	6.17	2.05	2.89	2.34	2.74	100.57	2.67	1.02
15	y = 438305x − 224115	0.919–14.19	0.9998	3.00	10.00	2.38	2.12	2.79	2.95	96.52	2.82	0.99
16	y = 2745.6x − 132315	1.617–40.43	0.9998	0.50	1.66	2.06	2.68	1.82	2.75	97.41	2.91	0.94
17	y = 669.72x + 38649	2.281–45.62	0.9997	2.00	0.67	1.51	2.59	2.12	2.88	102.23	2.61	0.96
18	y = 107.22x + 129047	0.0169–16.94	0.9996	0.22	0.73	2.21	2.36	1.76	2.89	98.03	3.89	0.98
19	y = 102.67x + 2102.4	0.0121–10.21	0.9996	0.83	2.78	2.73	2.56	2.09	2.88	98.35	2.61	0.96
20	y = 5894.2x + 683598	0.784–15.68	0.9998	3.26	10.9	2.28	2.36	2.59	2.66	96.73	2.67	1.01
21	y = 1289.2x + 364183	0.503–150.97	0.9992	0.4	1.33	2.06	1.99	2.16	2.01	104.94	2.09	0.98
22	y = 294.16x + 20062	0.0559–50.27	0.9997	1.47	4.90	2.34	2.56	2.17	2.01	102.21	2.88	1.01
23	y = 34948x − 92208	0.168–11.68	0.9997	0.88	2.94	1.99	2.37	2.89	2.25	97.15	2.31	1.05
24	y = 5235.4x + 8471.5	0.0287–20.87	0.9996	0.16	0.54	2.14	2.78	2.03	2.01	98.45	2.51	0.97
25	y = 9189.8x − 69366	0.0534–10.68	0.9995	0.63	2.08	1.75	2.88	2.33	2.07	96.64	2.44	0.98
26	y = 282.98x + 42660	0.0102–20.43	0.9997	3.37	11.2	1.38	2.13	2.26	2.28	94.89	2.11	0.93
27	y = 10624x + 38109	0.0127–12.76	0.9998	0.80	2.67	2.38	2.34	2.86	2.46	103.21	2.61	1.03
28	y = 13059x − 240433	0.205–20.51	0.9991	0.66	2.18	1.91	3.23	1.52	2.07	99.18	2.47	0.94
29	y = 32.836x + 2686.9	0.145–30.97	0.9995	2.11	7.04	1.85	2.13	2.76	1.94	97.26	2.06	1.03
30	y = 22649x + 62656	0.0106–13.79	0.9991	0.22	1.23	2.06	1.97	2.23	2.06	103.24	2.36	1.02