2014
DOI: 10.1590/s0104-66322014000100008
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Optimization of Pd-B/γ-Al2O3 catalyst preparation for palm oil hydrogenation by response surface methodology (RSM)

Abstract: -Response surface methodology was used to design and evaluate the experimental variables for Pd-B/γ-Al 2 O 3 catalyst preparation. The catalyst was prepared by impregnation and chemical reduction. Thirteen different samples of the catalyst were prepared at different KOH concentrations and annealed at various temperatures, before applying them in palm oil hydrogenation. Hydrogenation was performed on a 0.12% Pd-B/γ-Al 2 O 3 catalyst at a temperature of 393 K, hydrogen pressure of 500 kPa and agitation of 500 rp… Show more

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Cited by 22 publications
(9 citation statements)
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References 24 publications
(26 reference statements)
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“…Kaedah rangsangan permukaan (RSM) adalah sejenis perisian statistik yang sangat berguna dalam meminimumkan bilangan uji kaji yang perlu dijalankan dan mengenal pasti hubungan antara pemboleh ubah yang mempengaruhi tindak balas (Salinas et al 2016). Alshaibani et al (2014) telah menggunakan kaedah ini untuk mengoptimumkan penghidrogenan minyak kelapa sawit. Mereka mendapati pertambahan suhu dan keadaan beralkali menghasilkan peratus pertukaran unit tepu yang lebih tinggi.…”
Section: Pengenalanunclassified
“…Kaedah rangsangan permukaan (RSM) adalah sejenis perisian statistik yang sangat berguna dalam meminimumkan bilangan uji kaji yang perlu dijalankan dan mengenal pasti hubungan antara pemboleh ubah yang mempengaruhi tindak balas (Salinas et al 2016). Alshaibani et al (2014) telah menggunakan kaedah ini untuk mengoptimumkan penghidrogenan minyak kelapa sawit. Mereka mendapati pertambahan suhu dan keadaan beralkali menghasilkan peratus pertukaran unit tepu yang lebih tinggi.…”
Section: Pengenalanunclassified
“…Unfortunately, even after application of backward IJFS April 2017 Volume 6 pages 44-55 elimination regression, lack of fit was significant for both Y 21 and Y 22 . However, predicted R 2 for Y 22 was 0.6827, the difference in corresponding adjusted R 2 and predicted R 2 was within the limit of 0.2 which indicated that the model had sufficient capabilities to predict their responses (DeLoach & Ulbrich, 2007;Alshaibani, Yaakob, Alsobaai, & Sahri, 2014). F-values of Y 21 , Y 22 and Y 23 were 30.41, 30.02 and 6.83, respectively, with p-values less than 0.05 indicating the models were significant.…”
Section: Statistical Analysis and Model Fitting Using Rsmmentioning
confidence: 99%
“…Unfortunately, even after application of backward IJFS April 2017 Volume 6 pages 44-55 elimination regression, lack of fit was significant for both Y 21 and Y 22 . However, predicted R 2 for Y 22 was 0.6827, the difference in corresponding adjusted R 2 and predicted R 2 was within the limit of 0.2 which indicated that the model had sufficient capabilities to predict their responses (DeLoach & Ulbrich, 2007;Alshaibani, Yaakob, Alsobaai, & Sahri, 2014 …”
Section: Statistical Analysis and Model Fitting Using Rsmmentioning
confidence: 99%