Journal ArticleDOI
Low-cost and eco-friendly activated carbon from modified palm kernel shell for hydrogen sulfide removal from wastewater: adsorption and kinetic studies
Reads0
Chats0
TLDR
In this paper, the applicability of activated carbon (AC) derived from palm kernel shell (ACPKS) was investigated for the removal of dissolved H2S from wastewater, where the effects of various parameters were evaluated and these parameters were then optimized.Abstract:
Palm kernel shell is an abundant agricultural by-product in Malaysia, which is mainly used for producing activated carbon (AC) via the process called physicochemical activation. The applicability of AC derived from palm kernel shell (ACPKS) was investigated for the removal of dissolved H2S from wastewater. ACPKS was characterized by energy-dispersive X-ray, Fourier transform infrared spectroscopy, Brunauer–Emmett–Teller surface area and scanning electron microscope. The batch mode was utilized for studying adsorption capacity. The effects of various parameters were evaluated and these parameters were then optimized. Parameters such as initial concentration (500 mg/L), dose (100 mg/L), pH (7), agitation speed (150 rpm) and contact time (14 h) for removing dissociated H2S were optimized. Equilibrium data for H2S adsorption on ACPKS were fitted using the Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich isotherm models. The experimental data were comparable to the predictions of Langmuir equation, where the maximum monolayer adsorption capacity of 524.2 mg/g was found. The pseudo-first-order, pseudo-second-order, and intraparticle diffusion models were employed for simulating the experimental data for the adsorption kinetics. Among these models, the pseudo-first-order model was the best fitting model based on the correlation coefficients (R2) and normalized standard deviation (sum of squared error). The current study shows that ACPKS is the promising adsorbent for removing H2S from wastewater and other aqueous solutions.read more
Citations
More filters
Journal ArticleDOI
MWCNTs-Fe3O4 nanocomposite for Hg(II) high adsorption efficiency
Hamidreza Sadegh,Gomaa A. M. Ali,Gomaa A. M. Ali,Abdel Salam Hamdy Makhlouf,Kwok Feng Chong,Njud S. Alharbi,Shilpi Agarwal,Vinod Kumar Gupta,Vinod Kumar Gupta +8 more
TL;DR: In this paper, a magnetic carbon nanotubes composite (MWCNTs-Fe3O4) was successfully prepared and characterized using different techniques and the adsorption performance of as prepared composite was investigated for Hg(II) removal.
Journal ArticleDOI
Removal of congo red azo dye from aqueous solution by ZnO nanoparticles loaded on multiwall carbon nanotubes
Seyed Masoud Seyed Arabi,Rahman Shakibaei Lalehloo,Mohamad Reza Talei Bavil Olyai,Gomaa A. M. Ali,Gomaa A. M. Ali,Hamidreza Sadegh +5 more
TL;DR: In this article, the performance of ZnO nanoparticles loaded on multi-wall carbon nanotubes for removing congo red dye from aqueous solutions was investigated and the effect of various parameters such as contact time, temperature and adsorbent dosage are investigated and discussed.
Journal ArticleDOI
CaO impregnated highly porous honeycomb activated carbon from agriculture waste: symmetrical supercapacitor study
TL;DR: In this article, the authors presented the electrochemical studies of activated carbon prepared from palm kernel shell (ACPKS), with CaO impregnation, which shows highly porous honeycomb structure with homogeneous distribution of CaO nanoparticles (30-50nm in size).
Journal ArticleDOI
Taguchi L9 (34) orthogonal array study based on methylene blue removal by single-walled carbon nanotubes-amine: Adsorption optimization using the experimental design method, kinetics, equilibrium and thermodynamics
Behanm Maazinejad,Osveh Mohammadnia,Gomaa A. M. Ali,Abdel Salam Hamdy Makhlouf,Mallikarjuna N. Nadagouda,Mika Sillanpää,Abdullah M. Asiri,Shilpi Agarwal,Vinod Kumar Gupta,Hamidreza Sadegh +9 more
TL;DR: In this article, the effect of the experimental parameters (MB initial concentration, SWCNT-NH2 dosage, temperature and pH) on the removal efficiency were studied and optimized in terms of the standard average (SA) and signal-to-noise ratio (S/N) in order to efficiently improve the process.