Hello everyone
I'm using BHT and ascorbic acid as a standard curve to study the antioxidant activity of my lichen species (by the DPPH radical scavenging assay), but my BHT graph's curve is not linear. When I display the regression equation, the R-squared value is 0.72, which is far from 1, but if I display it as a logarithmic equation it equals 0.95, this time is good, is that normal to choose the trendline as a logarithmic equation or not?
"I'm using BHT and ascorbic acid to study DPPH antioxidant activity as a standard curve" First, DPPH ia not an antioxidant.
Read this highly cited paper: Food Chemistry 113 (2009) 1202–1205
See Figure 3.
This might be useful as well
Article ChemInform Abstract: Understanding the Chemistry Behind the ...
Hi, Mr Yurii V Geletii.
Thanks for correcting me, it was just a grammar mistake. I edited it.
Cordially.
While a linear regression is commonly preferred for standard curves due to its simplicity and interpretability, it is not uncommon for certain experimental data to exhibit non-linear relationships. In your case, if the BHT graph's curve is not linear and the R-squared value is relatively low (0.72), it indicates that a linear regression may not be the best fit for your data. Choosing a logarithmic equation as the trendline, resulting in an R-squared value of 0.95, suggests that the logarithmic model better captures the relationship between BHT concentrations and antioxidant activity in your study. Therefore, it is reasonable to choose the logarithmic equation as the trendline for your BHT standard curve, as it yields a higher goodness of fit and may provide a more accurate representation of the data. However, it is important to carefully interpret and validate the results, considering the underlying assumptions and limitations of the logarithmic model and its suitability for your specific experimental setup.
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