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. 2022 Mar 24;2022:1942900. doi: 10.1155/2022/1942900

Table 2.

Regression equation, linear range, and LLOQs of 10 compounds (n = 6).

Compounds Regression equation r 2 Linear range LLOQ (ng·mL−1)
NCLA Y = 0.0109X − 0.00382 0.9984 2–6000 2
CLA Y = 0.0649X + 0.00231 0.9993 1–3000 1
CCLA Y = 0.00475X − 0.00501 0.9972 2–6000 2
Caffeic acid Y = 0.0322X − 0.393 0.9937 10–30000 10
Rutin Y = 0.00247X + 0.00135 0.9983 1–3000 1
Isoquercitrin Y = 0.00707X + 0.00553 0.9983 1–3000 1
IAB Y = 0.00264X − 0.00961 0.9952 4–12000 4
IA A Y = 0.00135X − 0.00307 0.9917 4–12000 4
IAC Y = 0.0102X − 0.0172 0.9934 2–6000 2
Tussilagone Y = 0.00801X + 0.00969 0.9964 1–3000 1