Skip to main content

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