Abdul Wahab Mohammad
Jabatan Kejuruteraan Kimia & Proses, Fakulti Kejuruteraan & Alam Bina, Universiti Kebangsaan Malaysia, 43600 UKM Bangi Selangor Darul Ehsan, Malaysia

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PROSPEKTIF LEMPUNG ALAM CENGAR SEBAGAI ADSORBEN POLUTAN ANORGANIK DI DALAM AIR: KAJIAN KINETIKA ADSORPSI KATION Co(II) Muhdarina, Muhdarina; Mohammad, Abdul Wahab; Muchtar, Andanastuti
REAKTOR Volume 13, Nomor 2, Desember 2010
Publisher : Dept. of Chemical Engineering, Diponegoro University

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Abstract

Kemampuan lempung alam Cengar untuk melepaskan kation Co(II) dari air limbah model telah diuji dengan proses adsorpsi. Lempung alam Cengar diimpregnasi dengan larutan garam ammonium 1 molar untuk meningkatkan kemampuan adsorpsinya. Kapasitas adsorpsi kation Co(II) oleh lempung Cengar yang diimpregnasi meningkat di bawah pengaruh waktu kontak dan menurun dengan temperatur. Beberapa model kinetika yaitu order-pertama pseudo, order-kedua pseudo, model Elovich dan difusi intra-partikel telah digunakan untuk mengevaluasi kinetika dan mekanisme interaksi Co(II) pada lempung Cengar. Mekanisme adsorpsi Co(II)-lempung Cengar mengikuti kinetika order-kedua pseudo pada waktu perolehan adsorbat maksimum 120 menit. Dengan model Elovich didapatkan adsorben lempung Cengar memiliki permukaan yang heterogen. Energi aktivasi proses adsorpsi juga dievaluasi di bawah pengaruh temperatur dan didapatkan energi aktivasi yang negatif.
Optimization Of Palm Oil Mill Effluent Treatment By Applying RSM And ANN Said, Muhammad; Ba-Abbad, Muneer M; Mohammad, Abdul Wahab
Indonesian Journal of Fundamental and Applied Chemistry Vol 1, No 1 (2016): February 2016
Publisher : Indonesian Journal of Fundamental and Applied Chemistry

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Abstract

AbstractThe optimization of the COD removal from palm oil mill effluent (POME) has done. The correlation of concentration and pH of POME, and Trans membrane pressure (TMP) of Reverse Osmosis (RO) membrane was optimized by response surface method using a second order polynomial model with Box Behken design consist of 17 runs. To determine whether the model was adequate for representing the experimental data; it was indicated by the ANNOVA table (p-value, lack of fit and R2 values).  The main factor influenced the COD removal was concentration and pH of POME.  The optimum conditions were determined from 3D response surface and 2D contour graphs i.e. 28.30% of POME concentration at pH 10.75 and TMP 0.69 kPa to yield 24.1372 mg/L of COD value. The results demonstrate that the response surface method effective to minimize the number of experiment. Keywords: POME; RO membrane; RSM; ANN; COD
Adsorption of Copper from aqueous solution by chitosan using molecular imprinting technology Azizkhani, Sepehr; Mahmoudi, Ebrahim; Emami, Arefeh; Hussain, Siti Aslina; Mohammad, Abdul Wahab
Science and Technology Indonesia Vol 3 No 4 (2018): October
Publisher : ARTS Publishing

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Abstract

In nature chitosan is a plentiful polymer with high heavy metal ion uptake capacity due to chitosan’s functional groups that chelate with the positive surfaces of heavy metal ions. In this study, epichlorohydrin was used as a crosslink to prepare the copper-imprinted chitosan as a pattern to enable the selectivity property and increase adsorption capacity. The effects of the cross-linker, PH, initial concentration and time were examined in this study to identify the optimum amount of each to remove copper metal ions from waste water by imprinted chitosan. This composite was characterized by Fourier-transform infrared spectroscopy (FTIR) test to determine the existence of copper ions in chitosan crosslinked with epichlorohydrin. Scanning electron microscopy (SEM) tests were also done to compare the surfaces of crosslinked chitosan and the removal of copper by imprinted chitosan. PH adsorption was tested from 3 to 7 and the initial concentration and time investigated were between 10 and 100 mg/l and 0 and 120 minutes respectively. The maximum capacity to adsorb was found to be at PH 7, initial concentration of 100mg/l at 90 minutes with 0.1 gr chitosan. Ultimately, the maximum adsorbent amount achieved for effective Cu(II) removal was 74.37 mg/g.
Box Behken design for optimization of COD removal from Palm oil mill effluent (POME) using Reverse osmosis (RO) membrane Said, Muhammad; Abbad, Muneer ba; Sheik Abdullah, Siti Rozaimah; Mohammad, Abdul Wahab
Indonesian Journal of Environmental Management and Sustainability Vol 3 No 1 (2019): March
Publisher : ARTS Publishing

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Abstract

The optimization of COD removal from palm oil mill effluent (POME) using the Reverse Osmosis (RO) membrane was investigated. Experimental conditions for reduce the COD value of POME were achieved successfully using the Box Behken design. The values of affecting factors (POME concentration, pH and Transmembrane pressure were optimized according to the polynomial regression model. The predicted conditions to produce lower COD values were found to be POME concentration (vol. %) =28.30, pH =10.75 and Transmembrane pressure= 0.69 kPa. The predicted of COD value was 24.137 mg/l which in good agreed with experiment value as 25.763 mg/l was obtained.