Résumé:
The abundance and low cost of sawdust as an agricultur
al by
-
product make it a potential
candidate as precursor of activated carbon preparation. In this study, the sawdust
samples were chemically treated with acid (20% H
3
PO
4
,170°C, 2h), base (20%KOH,
ambient, 24h) and salt (1mol/L (NH
4
)
2
S
2
O
8
, ambient, 24h)
separately followed by
pyrolysis at 600 C for 3h, resulting respectively in SD
-
1, SD
-
2, SD
-
3 sawdust
-
based
activated carbons respectively used as adsorbents for basic green 4 dye removal from
aqueous media and the results were compared to the commercially
available Merck
activated carbon. Batch adsorption tests were performed and the experimental data
analyzed using the Langmuir and Freundlich models in their linear and non linear
forms, in order to estimate the equilibrium parameters. For optimum adsorptio
n
isotherm selection, a comparison of linear and nonlinear regression methods was
applied. Three errors functions: Chi
-
square statistic (
χ
2
),
root mean square error
(RMSE) and Average percentage error (APE) were used for isotherm optimization
prediction. W
hile the coefficient of determination
(
R
2
)
was used for
the best
-
fit linear
theoretical isotherm selection
