11 November 2019 11 507 Report

Hi all,

I am analyzing some kinetic data, my data come from sorption of Heavy metals onto biochar (carbon material). Since it is recomended not to use the linearized kinetic models due to the introduction of errors in the parameters estimation I went directly for the non-linear first and second order kinetic models as are the most used.

I assesed the best fit by the standard error distribution and the correlation between the predicted and experimental values with both models. Overall my results indicate that second order model suits better my data, the correlation coefficients are very close to one. However I am not sure if that is enough as to say that second order model fitted better, because first order was very high as well the difference in correlation coefficient between both could be as small as of 0.001 in some cases. Additionally the curves obtained pretty much overlap one to each other..so I am doubting that I could say that one model describes better my data to another. How it can be possible that both models look so similar on my data? The initial concentration I used is 0.5 mg/L is maybe due to the low concentration of the sorbate?

Any paper that could help me on this would be very welcome

Regards

Rosa

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