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. 2018 Mar 21;23(4):714. doi: 10.3390/molecules23040714

Table 2.

The regress equations, linear range, and LLOQs of the fourteen alkaloids.

No. Alkaloids Linear Regression Equation Range (ng/mL) Correlation Coeffiicient (r) LLOQ (ng/mL)
1 Corydaline Y = 0.139805χ − 0.006704 0.74–73.89 0.998 0.74
2 Tetrahydroberberine Y = 0.097085χ − 0.004676 0.68–67.88 0.998 0.68
3 Tetrahydropalmatine Y = 0.301153χ + 0.199059 1.78–177.7 0.996 1.78
4 Tetrahydrocolumbamine Y = 0.216374χ − 0.021908 1.71–170.7 0.998 1.71
5 Tetrahydrocoptisine Y = 0.177838χ − 0.044206 1.62–161.7 0.997 1.62
6 Columbamine Y = 0.089586χ + 0.011028 0.68–67.68 0.999 0.68
7 Palmatine Y = 0.120359χ + 0.052267 0.71–70.48 0.998 0.71
8 Berberine Y = 0.125996χ + 0.005547 0.67–67.27 0.999 0.67
9 Epiberberine Y = 0.072013χ − 0.003910 0.67–67.27 0.999 0.67
10 Coptisine Y = 0.007792χ + 0.11179 3.20–320.3 0.998 3.20
11 Jatrorrhizine Y = 0.085938χ − 0.008861 0.68–67.68 0.999 0.68
12 Dehydrocorydaline Y = 0.106311χ + 0.107424 1.83–183.2 0.998 1.83
13 Oxoglaucine Y = 0.113817χ + 0.031077 0.70–70.27 0.998 0.70
14 Protopine Y = 0.106329χ + 0.007831 0.71–70.67 0.999 0.71