Table 2.
Compounds | Regression Equation a | Linearity (µg/mL) |
R2 | LODs (µg/mL) |
LOQs (µg/mL) |
---|---|---|---|---|---|
GA | y = 1160x – 367,737 | 55.6–278 | 0.9872 | 2.5 | 8.4 |
CAT | y = 58,916x – 28,179 | 52.1–260.9 | 0.9971 | 3.5 | 13.2 |
VA | y = 25,058x + 109,038 | 54.8–274.2 | 0.9871 | 2.7 | 9.5 |
CA | y = 28,663x + 307,368 | 44.4–222.5 | 0.9985 | 3.4 | 12.5 |
pCA | y = 11,754x + 69,779 | 50.6–251.3 | 0.9956 | 3.1 | 12.0 |
FA | y = 21,142x – 309,335 | 55.1–265.4 | 0.9978 | 2.6 | 9.8 |
SYN | y = 19,097x − 296,645 | 57.2–286.5 | 0.9981 | 2.9 | 10.6 |
RUT | y = 20,735x + 44,710 | 47.6–238.0 | 0.9978 | 2.0 | 7.1 |
Q | y = 48,916x + 63,779 | 50.1–250.3 | 0.9983 | 3.1 | 9.7 |
NAR | y = 41,794x – 22,317 | 54.0–270.4 | 0.9934 | 2.6 | 9.1 |
a y is the peak area; x refers to the concentration of compounds (µg/mL); LOD: limit of detection; LOQ: limit of quantification.