2019
DOI: 10.1016/j.jenvman.2019.109302
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Optimization of activated palm oil sludge biochar preparation for sulphur dioxide adsorption

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Cited by 39 publications
(17 citation statements)
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“…The parametric values of the second-order polynomial equation used to construct the mathematical models presented above and the statistical information of the model fitting procedure are presented in Table 3. All models presented a non-significant lack of fit, indicating that the equations adequately describe the effects of the variables on the evaluated responses with good predictability (Iberahim, Sethupathi, Goh, Bashir, & Ahmad, 2019). The obtained coefficients R 2 and R 2 adj were ≥0.83 and 0.81 for HAE and ≥0.73 and 0.67 for UAE (Table 3), which indicates that the variability of each response can be explained by the independent variables involved in the process.…”
Section: Analysis Of the Theoretical Response Surface Modelsmentioning
confidence: 91%
“…The parametric values of the second-order polynomial equation used to construct the mathematical models presented above and the statistical information of the model fitting procedure are presented in Table 3. All models presented a non-significant lack of fit, indicating that the equations adequately describe the effects of the variables on the evaluated responses with good predictability (Iberahim, Sethupathi, Goh, Bashir, & Ahmad, 2019). The obtained coefficients R 2 and R 2 adj were ≥0.83 and 0.81 for HAE and ≥0.73 and 0.67 for UAE (Table 3), which indicates that the variability of each response can be explained by the independent variables involved in the process.…”
Section: Analysis Of the Theoretical Response Surface Modelsmentioning
confidence: 91%
“…All models presented a non-significant (ns) lack of fit (p > 0.05) and an adequate precision greater than 12, which indicates that the model equations adequately describe the effects of the independent variables on the evaluated responses [32]. The coefficients R 2 and R 2 adj were greater than 0.93 and 0.86 in all cases, respectively (Supplementary Material Table S1), thus indicating that the variability of each response can be explained by the variables involved in the extraction processes.…”
Section: Models Fitting and Statistical Verificationmentioning
confidence: 94%
“…The four mathematical models had a non-significant lack-of-fit ( p > 0.05) and an adequate precision > 15, which indicates that the model equations adequately describe the effects of the variables t and P on Y 1 – Y 3 [ 31 ]. The coefficients R 2 and R 2 adj were higher than 0.75 and 0.70 for all models, respectively (Equations (1)–(4)), showing that the variability of each response can be explained by the extraction process variables.…”
Section: Resultsmentioning
confidence: 99%