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Table 2 Results of methodology validation in terms of linear regression, LOD, LOQ, repeatability, accuracy, and stability

From: Full component analysis of Tianma-Gouteng-Yin

Analyte Linearity LOD (ng/mL) LOQ (ng/mL) Repeatability (RSD, %, n = 6) Spike recovery (RSD, %, n = 3) Stability (RSD, %, n = 6)
Range (ng/mL) Equation r2 Intra-day Inter-day High Middle Low
1 50.60–404.80 Y = 148.2X − 704.4 0.9996 13.67 45.58 3.45 4.81 96.37 (2.08) 96.55 (0.18) 105.99 (2.65) 3.16
2 397.50–3180.00 Y = 33.8X − 721.8 0.9989 104.61 348.68 2.93 4.84 98.86 (2.16) 98.67 (0.65) 94.99 (2.00) 2.46
3 329.10–10530.00 Y = 56.9X + 10454.0 0.9997 43.38 144.60 1.20 3.37 101.88 (2.21) 101.73 (0.65) 94.37 (1.72) 1.81
4 3187.50–25500.00 Y = 7.3X + 2059.8 0.9997 233.80 779.34 2.53 5.54 96.96 (2.22) 104.26 (0.78) 102.12 (5.48) 4.59
5 1659.40–53100.00 Y = 16.9X + 18376.0 0.9989 174.67 582.64 4.06 4.64 102.71 (1.99) 96.39 (0.31) 102.31 (1.94) 2.59
6 59.48–237.93 Y = 1203.4X + 9810.8 0.9992 11.65 38.84 3.78 4.66 101.38 (5.10) 104.00 (0.69) 104.50 (1.23) 3.98
7 126.28–5387.76 Y = 493.9X + 11718.0 0.9999 25.25 84.18 2.58 4.17 97.14 (2.19) 95.46 (1.27) 95.10 (0.37) 2.58
8 116.50–1864.00 Y = 170.7X + 5289.2 0.9996 17.83 59.44 1.05 4.54 96.77 (0.99) 101.81 (0.77) 104.52 (0.51) 1.56
9 13.02–208.33 Y = 378.9X + 1346.2 0.9994 2.77 9.24 1.55 3.66 101.45 (4.45) 97.26 (1.42) 104.54 (2.29) 1.29
10 13.27–106.12 Y = 12974.0X − 33626.0 0.9994 2.14 7.13 1.19 4.71 101.76 (2.68) 103.99 (1.79) 105.29 (1.15) 1.51
11 52.95–211.80 Y = 592.1X + 6742.6 0.9993 9.57 31.05 2.42 3.97 102.07 (1.53) 95.27 (0.78) 105.62 (0.58) 2.37
12 1273.44–81500.00 Y = 44.0X + 62221.0 0.9996 49.97 166.57 2.50 4.59 100.78 (2.65) 98.85 (3.36) 101.55 (3.70) 4.67
13 33.04–198.21 Y = 2767.1X − 52144.0 0.9988 7.62 25.41 3.46 4.43 95.89 (0.71) 99.58 (3.47) 94.63 (0.77) 2.85
14 204.10–13062.50 Y = 132.0X + 17621.0 0.9992 28.98 96.62 1.69 4.89 97.72 (3.65) 98.26 (0.72) 99.54 (3.98) 4.28
15 259.38–4150.00 Y = 47.4X − 1173.4 0.9989 71.38 237.95 2.64 3.89 102.64 (2.18) 99.14 (0.64) 106.11 (1.39) 2.29
16 1767.19–28275.00 Y = 117.5X + 127121.0 0.9989 26.61 88.71 1.89 4.29 97.29 (2.79) 98.27 (0.29) 96.19 (2.40) 1.87
17 118.64–2548.47 Y = 1291.1X − 78900.0 0.9998 27.23 90.76 1.07 1.69 96.64 (1.39) 101.78 (0.77) 94.88 (1.05) 1.73
  1. All P values for linear regression were <0.001