Mohammed Saedi Jami

Prof. Mohammed Saedi Jami

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 January 2013 in Drying Technology
Verified
Journal Article
Closed access
MIM. Iwata
M. Iwata
TTT. Tanaka
T. Tanaka
MJMohammed Saedi Jami
Mohammed Saedi Jami
This work aims at providing an outline of engineering applications for electroosmosis, especially for sludge dewatering. A review of the theoretical analysis of electroosmotic dewatering is presented. The equations representing electroosmotic flow through porous media are initially discussed. Consolidation theory, which describes the progress of dewatering, is then described. In addition, various empirical research results addressing the effects of operational conditions and conditioning of sludge on both energy consumption and final water content of the sludge are reviewed. It is anticipated that this review will provide useful information to researchers pursuing solid–liquid separation of difficult-to-dewater materials such as sludge.

1 December 2015 in Process Biochemistry
Verified
Journal Article
Closed access
SMSafa Senan Mahmod
Safa Senan Mahmod
FYFaridah Yusof
Faridah Yusof
MJMohammed Saedi Jami
Mohammed Saedi Jami
SKSoofia Khanahmadi
Soofia Khanahmadi
HSHarmen Shah
Harmen Shah

21 September 2015 in Waste and Biomass Valorization
Verified
Journal Article
Closed access
PDF file
MAMutiu K. Amosa
Mutiu K. Amosa
MJMohammed Saedi Jami
Mohammed Saedi Jami
MAMa’an F. R. Alkhatib
Ma’an F. R. Alkhatib

17 July 2020 in Molecules
Verified
Journal Article
Open access
PDF file
TKTaimur Khan
Taimur Khan
TMTeh Sabariah Binti Abd Manan
Teh Sabariah Binti Abd Manan
Mohamed Hasnain IsaMohamed Hasnain Isa
Mohamed Hasnain Isa
AGAbdulnoor Ghanim
Abdulnoor Ghanim
SBSalmia Binti Beddu
Salmia Binti Beddu
MJMohammed Saedi Jami
Mohammed Saedi Jami
This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon, hydrogen, nitrogen, and sulfur (CHNS) analysis, Brunauer–Emmett–Teller (BET) surface area analysis, bulk density (g/mL), ash content (%), pH, and pHZPC were performed to determine the characteristics of RHC4. The effects of operating variables such as the influences of aqueous pH, contact time, Cu(II) concentration, and doses of RHC4 on adsorption were studied. The maximum adsorption was achieved at 120 min of contact time, pH 6, and at 8 g/L of RHC4 dose. The prediction of percentage Cu(II) adsorption was investigated via an artificial neural network (ANN). The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). The pseudo-second-order kinetic model fitted well with the experimental data, thus indicating chemical adsorption. The intraparticle analysis showed that the adsorption process proceeded by boundary layer adsorption initially and by intraparticle diffusion at the later stage. The Langmuir and Freundlich isotherm models interpreted well the adsorption capacity and intensity. The thermodynamic parameters indicated that the adsorption of Cu(II) by RHC4 was spontaneous. The RHC4 adsorption capacity is comparable to other agricultural material-based adsorbents, making RHC4 competent for Cu(II) removal from wastewater.

15 February 2012 in AMB Express
Verified
Journal Article
Open access
BMBala Muntari
Bala Muntari
AAAzura Amid
Azura Amid
MMMaizirwan Mel
Maizirwan Mel
MJMohammed Saedi Jami
Mohammed Saedi Jami
HSHamzah Mohd. Salleh
Hamzah Mohd. Salleh
Bromelain, a cysteine protease with various therapeutic and industrial applications, was expressed in Escherichia coli, BL21-AI clone, under different cultivation conditions (post-induction temperature, L-arabinose concentration and post-induction period). The optimized conditions by response surface methodology using face centered central composite design were 0.2% (w/v) L-arabinose, 8 hr and 25°C. The analysis of variance coupled with larger value of R2 (0.989) showed that the quadratic model used for the prediction was highly significant (p < 0.05). Under the optimized conditions, the model produced bromelain activity of 9.2 U/mg while validation experiments gave bromelain activity of 9.6 ± 0.02 U/mg at 0.15% (w/v) L-arabinose, 8 hr and 27°C. This study had innovatively developed cultivation conditions for better production of recombinant bromelain in shake flask culture.

1 February 2014 in Bioresource Technology
Verified
Journal Article
Closed access
RNRicca Rahman Nasaruddin
Ricca Rahman Nasaruddin
MAMd Zahangir Alam
Md Zahangir Alam
MJMohammed Saedi Jami
Mohammed Saedi Jami