Table 1.
Alkaloids | Linear equation | R 2 | Linear range (μg/mL) | Content (mg/g) |
---|---|---|---|---|
Columbamine | y = 43952x − 58219 | 0.9993 | 1.50 – 96.00 | 0.4644 ± 0.0335 |
Coptisine | y = 29249x − 35590 | 0.9994 | 1.45 – 93.33 | 0.6500 ± 0.0037 |
Palmatine | y = 40983x − 36074 | 0.9998 | 1.98 – 126.98 | 0.4337 ± 0.0117 |
Berberine | y = 41387x − 12535 | 0.9992 | 0.74 – 47.62 | 0.0952 ± 0.0067 |
Dehydrocorydaline | y = 37716x − 147830 | 0.9992 | 5.45 – 349.21 | 1.7962 ± 0.0012 |
Glaucine | y = 9473.5x − 9680.2 | 0.9990 | 0.69 – 44.44 | 1.3946 ± 0.0645 |
Rotundinum | y = 12804x − 5284.5 | 0.9999 | 1.5 – 96 | 0.5573 ± 0.0099 |
Corydaline | y = 10976x − 13488 | 0.9997 | 2.06 – 132.06 | 0.8319 ± 0.0057 |
Stylopine | y = 7135.6x − 12640 | 0.9990 | 0.99 – 63.56 | 0.6355 ± 0.0732 |
The linearity curves were constructed by plotting the peak area versus the concentration of each alkaloid. Each regression equation was derived from six data points (n = 6). For all alkaloids, the correlation coefficient R2 > 0.999, indicating that they have good linear relationship between peak area and concentration. The main alkaloids in CR crude drug were determined (n = 3). The alkaloids, for example, corydalmine, allocryptopine, canadine, and isocorypalmine, reported to be in CR but not being detected in our HPLC analysis were not determined.