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. 2019 Apr 11;24(7):1440. doi: 10.3390/molecules24071440

Table 2.

Linear regression, LOD, LOQ and precision, stability, repeatability, recovery of the analytes.

No. Regression Equation R2 Linear Range (ng/mL) LOD LOQ Precision (RSD, %) Stability (RSD, %) Repeatability (RSD, %) Recovery
(ng/mL) (ng/mL) Intraday Interday Mean, % RSD, %
1 y = 2,824,247.9x + 5,954,683.1 0.9978 2.500–4.167 × 104 0.13 0.34 2.32 3.02 3.42 2.42 101.3 2.11
2 y = 922,961x + 568,615 0.9986 5.100–5.875 × 103 0.58 1.7 1.32 2.42 3.43 4.23 98.0 3.01
3 y = 1,486,176.5x + 632,070.7 0.9968 2.700–1.130 × 104 0.11 0.34 0.92 2.23 4.01 3.92 103.3 3.07
4 y = 864,935x + 584,181 0.9987 2.600–4.300 × 104 0.13 0.86 2.16 3.12 4.21 4.64 97.4 4.05
5 y = 12,340,559.2x + 13,971,574.7 0.9971 5.300–2.300 × 104 0.46 2.4 2.53 3.24 3.98 3.13 104.2 3.75
6 y = 4,394,306.8x + 3,947,119.7 0.9987 4.000–2.001 × 104 0.39 1.5 3.04 3.52 4.06 4.14 96.4 3.13
7 y = 327,479x + 18,539 0.9988 14.00–3.603 × 103 1.4 6.9 2.91 3.12 3.42 4.01 97.4 3.37
8 y = 4,095,340.6x + 4,855,604.6 0.9982 5.200–4.100 × 104 0.84 2.9 3.43 3.32 2.94 3.54 103.2 2.95
9 y = 439,258x + 879,574 0.9939 10.10–4.603 × 104 0.91 2.7 1.93 2.42 2.95 3.24 102.3 2.82
10 y = 17,063,239.4x + 149,593.2 0.9974 0.7000–1.900 × 102 0.018 0.039 2.82 3.02 3.12 3.32 99.4 3.21
11 y = 14,470,625.6x + 1,549,987.5 0.9937 4.000–2.500 × 103 0.68 2.5 3.03 2.94 2.84 3.23 102.4 2.94
12 y = 7,629,191.3x + 3,135,983.9 0.9911 2.000–3.600 × 104 0.21 0.36 2.95 3.13 3.65 3.64 103.5 3.53
13 y = 4,083,739.7x + 7,735,801.6 0.9921 2.500–1.260 × 105 0.13 0.37 3.54 3.74 3.96 3.44 96.4 2.95
14 y = 2,948,202.5x + 1,270,029.0 0.9991 4.600–1.140 × 105 0.46 1.1 3.05 3.54 2.96 3.04 102.4 3.05
15 y = 7,971,028.9x + 2,483,617.9 0.9999 6.000–5.101 × 104 0.51 2.0 2.95 3.03 3.32 3.54 104.5 3.41
16 y = 4,223,984.3x + 555,633.9 0.9989 8.000–3.603 × 104 0.83 3.6 3.03 3.21 3.33 2.63 103.6 2.94
17 y = 4,587,940.9x – 483,834.6 0.9997 12.10–5.102 × 104 0.50 1.3 3.09 3.86 4.05 3.53 96.4 3.53
18 y = 4,304,705.8 x + 10,445.9 0.9996 11.00–4.300 × 104 0.42 1.4 4.04 3.95 4.22 3.95 102.4 3.89
19 y = 960,985x + 794,899 0.9971 8.000–1.020 × 105 0.30 1.0 3.91 2.94 4.02 3.84 103.5 4.04
20 y = 1,828,288.2x – 155,615.5 0.9992 5.000–4.201 × 104 0.53 1.4 3.53 4.02 3.95 4.23 98.3 3.94
21 y = 2,631,959.6x + 231,832.9 0.9998 8.100–3.500 × 104 0.35 1.1 3.94 3.89 3.52 3.56 104.2 4.12
22 y = 115,788x + 44,801 0.9941 70.10–3.702 × 104 3.7 11 3.53 2.94 3.45 4.05 102.6 3.64
23 y = 1,263,773.8x + 124,249.7 0.9996 30.10–3.502 × 104 3.0 9.7 4.03 3.52 3.89 3.51 97.4 3.52
24 y = 195,275.9x + 46,906.5 0.9988 1.588×102–2.033×104 15 41 4.21 3.81 3.52 4.02 103.5 4.01
25 y = 1,557,660.4x – 664,389.7 0.9974 25.00–5.310 × 104 5.4 12 3.85 3.53 3.90 4.13 102.4 3.89
26 y = 550,153x – 170,668 0.9978 20.20–4.301 × 104 0.43 1.4 3.31 2.53 2.95 3.69 101.5 3.64
27 y = 1,101,798.4x – 441,695.7 0.9955 31.00–3.370 × 104 0.39 1.2 3.21 3.32 3.13 4.01 97.5 4.64
28 y = 2,056,201.7x – 1,509,290.6 0.9932 19.00–3.903 × 104 0.73 2.0 3.53 2.95 3.34 2.95 103.5 2.95
29 y = 441,570x + 48,517 0.9997 80.10–4.500 × 104 0.48 1.4 3.63 2.94 3.52 2.53 98.4 3.04
30 y = 261,545x – 89,819 0.9994 1.300 × 102–6.700 × 104 1.9 6.7 2.98 3.02 3.32 3.52 102.5 4.04
31 y = 1,501,631.2x – 976,172.6 0.9995 16.00–6.602 × 104 0.67 1.7 3.02 2.94 3.12 3.14 100.4 3.53
32 y=3,645,684x – 98,187 0.9989 1.360 × 102–3.502 × 104 0.97 2.7 2.79 3.10 2.93 4.02 97.2 2.99
33 y = 506,624x – 224,402 0.9922 1.300 × 102–1.781 × 104 0.65 1.8 3.02 2.95 3.04 4.04 99.4 3.02
34 y = 255,220x + 20,740 0.9912 60.10–1.600 × 103 0.64 1.6 2.94 3.04 3.53 3.79 101.4 3.53
35 y = 300,359x – 36,234 0.9908 4.100–4.001 × 104 0.57 2.0 3.32 3.63 4.04 3.54 104.4 4.14
36 y = 1.3913x + 3.9365 0.9976 2.810 × 104–2.160 × 107 3.5 × 103 14 × 103 1.73 2.12 2.42 2.67 102.4 3.04
37 y = 1.3796x + 4.2746 0.9953 5.350 × 104–4.108 × 107 6.7 × 103 13 × 103 1.89 2.17 2.75 2.32 98.7 3.02
38 y = 1.4068x + 3.8994 0.9988 2.680 × 104–2.060 × 107 3.4 × 103 13 × 103 1.90 2.42 2.48 3.03 101.4 2.97
39 y = 1.3851x + 5.4207 0.9964 2.420 × 104–4.650 × 107 3.0 × 103 12 × 103 2.43 2.55 3.14 2.96 98.4 3.08
40 y = 1.4024x + 1.8305 0.9986 9.980 × 104–5.474 × 107 12 × 103 25 × 103 2.11 2.53 2.16 2.75 101.9 3.25
41 y = 1.4189x + 5.0747 0.9977 5.190 × 104–4.980 × 107 6.5 × 103 13 × 103 1.83 2.43 2.43 2.31 99.9 2.94
42 y = 1.4088x + 4.1731 0.9988 2.800 × 104–2.148 × 107 3.5 × 103 14 × 103 1.69 1.93 2.31 2.01 100.4 2.88