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Scalability of biomass-derived graphene derivative materials as viable anode electrode for a commercialized microbial fuel cell: A systematic review

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Chinese Journal of Chemical Engineering 2023年第3期55卷 277-292页

作者： Mustapha Omenesa Idris Claudia Guerrero-Barajas Hyun-Chul Kim Asim Ali Yaqoob mohamad nasir mohamad ibrahim School of Chemical Sciences Universiti Sains Malaysia11800 PenangMalaysia Department of Pure and Industrial Chemistry Kogi State UniversityP.M.B 1008 AnyigbaKogi StateNigeria Laboratorio de Biotecnologia Ambiental Departamento de BioprocesosUnidad Profesional Interdisciplinaria de BiotecnologiaInstituto Politecnico NacionalAv.Acueducto s/nCol.Barrio La Laguna Ticoman07340 Mexico CityMexico Research Institute for Advanced Industrial Technology College of Science and TechnologyKorea UniversitySejong 30019Republic of Korea

Microbial fuel cell(MFC) is an advanced bioelectrochemical technique that can utilize biomass materials in the process of simultaneously generating electricity and biodegrading or bio transforming toxic pollutants from wastewater. The overall performance of the system is largely dependent on the efficiency of the anode electrode to enhance electron transportation. Furthermore, the anode electrode has a significant impact on the overall cost of MFC setup. Hence, the need to explore research focused towards developing cost-effective material as anode in MFC. This material must also have favourable properties for electron transportation. Graphene oxide(GO) derivatives and its modification with nanomaterials have been identified as a viable anode material. Herein, we discussed an economically effective strategy for the synthesis of graphene derivatives from waste biomass materials and its subsequent fabrication into anode electrode for MFC applications. This review article offers a promising approach towards replacing commercial graphene materials with biomass-derived graphene derivatives in a view to achieve a sustainable and commercialized MFC.

关键词： Microbial fuel cell Biomass Anode fabrication Catalyst Design Cost-effective performance

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Cardiovascular risk factors among older persons with cognitive frailty in middle income country

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World Journal of Clinical Cases 2024年第17期12卷 3076-3085页

作者： Azianah mohamad ibrahim Devinder Kaur Ajit Singh Arimi Fitri Mat Ludin Noor ibrahim Mohamed Sakian Nurul Fatin Malek Rivan Suzana Shahar Centre for Healthy Ageing and Wellness Faculty of Health SciencesUniversiti Kebangsaan MalaysiaWilayah Persekutuan Kuala Lumpur 50300Malaysia Basic Medical Sciences University of CyberjayaSelangor Darul EhsanMalaysia 63000Malaysia

BACKGROUND Cognitive frailty,characterized by the coexistence of cognitive impairment and physical frailty,represents a multifaceted challenge in the aging population.The role of cardiovascular risk factors in this complex interplay is not yet fully understood.AIM To investigate the relationships between cardiovascular risk factors and older persons with cognitive frailty by pooling data from two cohorts of studies in Malaysia.METHODS A comprehensive approach was employed,with a total of 512 communitydwelling older persons aged 60 years and above,involving two cohorts of older persons from previous studies.Datasets related to cardiovascular risks,namely sociodemographic factors,and cardiovascular risk factors,including hypertension,diabetes,hypercholesterolemia,anthropometric characteristics and biochemical profiles,were pooled for analysis.Cognitive frailty was defined based on the Clinical Dementia Rating scale and Fried frailty score.Cardiovascular risk was determined using Framingham risk score.Statistical analyses were conducted using SPSS version 21.RESULTS Of the study participants,46.3%exhibited cognitive frailty.Cardiovascular risk factors including hypertension(OR:1.60;95%CI:1.12-2.30),low fat-free mass(OR:0.96;95%CI:0.94-0.98),high percentage body fat(OR:1.04;95%CI:1.02-1.06),high waist circumference(OR:1.02;95%CI:1.01-1.04),high fasting blood glucose(OR:1.64;95%CI:1.11-2.43),high Framingham risk score(OR:1.65;95%CI:1.17-2.31),together with sociodemographic factors,i.e.,being single(OR 3.38;95%CI:2.26-5.05)and low household income(OR 2.18;95%CI:1.44-3.30)were found to be associated with cognitive frailty.CONCLUSION Cardiovascular-risk specific risk factors and sociodemographic factors were associated with risk of cognitive frailty,a prodromal stage of dementia.Early identification and management of cardiovascular risk factors,particularly among specific group of the population might mitigate the risk of cognitive frailty,hence preventing dementia.

关键词： Cognitive frailty Older persons Cardiovascular risk factors Frailty Mild cognitive impairment

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Engineered Hybrid Materials with Smart Surfaces for Effective Mitigation of Petroleum-Originated Pollutants

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Engineering 2021年第10期7卷 1492-1503页

作者： Nisar Ali Muhammad Bilal Adnan Khan Farman Ali mohamad nasir mohamad ibrahim Xiaoyan Gao Shizhong Zhang Kun Hong Hafiz MNIqbal Key Laboratory for Palygorskite Science and Applied Technology of Jiangsu Province National and Local Joint Engineering Research Center for Deep Utilization Technology of Rock-salt ResourceFaculty of Chemical EngineeringHuaiyin Institute of TechnologyHuaian 223003China School of Life Science and Food Engineering Huaiyin Institute of TechnologyHuaian 223003China Institute of Chemical Sciences University of PeshawarPeshawar 25120Pakistan Department of Chemistry Hazara UniversityMansehra 21300Pakistan School of Engineering and Sciences School of Chemical SciencesUniversiti Sains MalaysiaPenang 11800Malaysia School of Engineering and Sciences Tecnologico de MonterreyMonterrey 64849Mexico

The generation and controlled or uncontrolled release of hydrocarbon-contaminated industrial wastewater effluents to water matrices are a major environmental concern.The contaminated water comes to surface in the form of stable emulsions,which sometimes require different techniques to mitigate or separate effectively.Both the crude emulsions and hydrocarbon-contaminated wastewater effluents contain suspended solids,oil/grease,organic matter,toxic elements,salts,and recalcitrant chemicals.Suitable treatment of crude oil emulsions has been one of the most important challenges due to the complex nature and the substantial amount of generated waste.Moreover,the recovery of oil from waste will help meet the increasing demand for oil and its derivatives.In this context,functional nanostructured materials with smart surfaces and switchable wettability properties have gained increasing attention because of their excellent performance in the separation of oil–water emulsions.Recent improvements in the design,composition,morphology,and fine-tuning of polymeric nanostructured materials have resulted in enhanced demulsification functionalities.Herein,we reviewed the environmental impacts of crude oil emulsions and hydrocarbon-contaminated wastewater effluents.Their effective treatments by smart polymeric nanostructured materials with wettability properties have been stated with suitable examples.The fundamental mechanisms underpinning the efficient separation of oil–water emulsions are discussed with suitable examples along with the future perspectives of smart materials.

关键词： Emulsion Hydrocarbon-contamination Environment impacts Hybrid nanomaterials Oil-water separation Wastewater treatment

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A Framework for Driver DrowsinessMonitoring Using a Convolutional Neural Network and the Internet of Things

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Intelligent Automation & Soft Computing 2024年第2期39卷 157-174页

作者： Muhamad Irsan Rosilah Hassan Anwar Hassan ibrahim mohamad Khatim Hasan Meng Chun Lam Wan Mohd Hirwani Wan Hussain School of Computing Telkom UniversityBandung40257Indonesia Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaBangi43600Malaysia Department of Electrical Engineering College of EngineeringQassim UniversityAl-Gassim51411Saudi Arabia Graduated School of Business Universiti Kebangsaan MalaysiaBangi43600Malaysia

One of the major causes of road accidents is sleepy drivers.Such accidents typically result in fatalities and financial losses and disadvantage other road users.Numerous studies have been conducted to identify the driver’s sleepiness and integrate it into a warning system.Most studies have examined how the mouth and eyelids move.However,this limits the system’s ability to identify drowsiness traits.Therefore,this study designed an Accident Detection Framework(RPK)that could be used to reduce road accidents due to sleepiness and detect the location of accidents.The drowsiness detectionmodel used three facial parameters:Yawning,closed eyes(blinking),and an upright head position.This model used a Convolutional Neural Network(CNN)consisting of two phases.The initial phase involves video processing and facial landmark coordinate detection.The second phase involves developing the extraction of frame-based features using normalization methods.All these phases used OpenCV and TensorFlow.The dataset contained 5017 images with 874 open eyes images,850 closed eyes images,723 open-mouth images,725 closed-mouth images,761 sleepy-head images,and 1084 non-sleepy head images.The dataset of 5017 images was divided into the training set with 4505 images and the testing set with 512 images,with a ratio of 90:10.The results showed that the RPK design could detect sleepiness by using deep learning techniques with high accuracy on all three parameters;namely 98%for eye blinking,96%for mouth yawning,and 97%for head movement.Overall,the test results have provided an overview of how the developed RPK prototype can accurately identify drowsy drivers.These findings will have a significant impact on the improvement of road users’safety and mobility.

关键词： Drowsy drivers convolutional neural network openCV microprocessor face detection

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Facile in situ synthesis and characterization of Fe@Si/zeolite Na composites with magnetic core–shell structures from natural materials for enhanced curcumin loading capacity

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Nanotechnology and Precision Engineering 2024年第2期7卷 69-86页

作者： Munasir nasir Nuhaa Faaizatunnisa Muhammad Naufal Ariesta Lydia Rohmawati Rifqi Aul Department of Physics Faculty of Mathematics and Natural ScienceUniversitas Negeri Surabaya(Unesa)Surabaya60231Indonesia Department of Chemistry Faculty of Science and Data AnalyticsInstitut Teknologi Sepuluh Nopember(ITS)Surabaya 60111Indonesia Department of Chemistry Faculty of Mathematics and Natural SciencesUniversitas Sebelas Maret(UNS)Surakarta57126Indonesia Department of Medicine Faculty of Medical and Health ScienceUniversitas Islam Negeri(UIN)Maulana Malik IbrahimMalang65151Indonesia

Curcumin is a natural polyphenol that is used in various traditional medicines.However,its inherent properties,such as its rapid degradation and metabolism,low bioavailability,and short half-life,are serious problems that must be resolved.To this end,a drug carrier incorporating natural magnetic cores in a zeolite framework was developed and applied to the loading of curcumin in ethanol solutions.In this system,curcumin is encapsulated in a zeolite Na(ZNA)magnetic core–shell structure(Fe@Si/ZNA),which can be easily synthesized using an in situ method.Synthesis of Fe_(3)O_(4) nanoparticles was carried out from natural materials using a co-precipitation method.Analysis of the prepared magnetic core–shell structures and composites was carried out using vibrating-sample magnetometery,Fourier transform infrared spectroscopy,transmission electron microscopy,and x-ray diffraction.The cumulative loading of curcumin in the ZNA composite with 9%nanoparticles was found to reach 90.70%with a relatively long half-life of 32.49 min.Stability tests of curcumin loading in the composite showed that adding magnetic particles to the zeolite framework also increased the stability of the composite structure.Adsorption kinetics and isotherm studies also found that the system follows the pseudo-second-order and Langmuir isotherm models.

关键词： Zeolite Na Magnetic core–shell nanoparticles(MNPs) ZNA Adsorption Curcumin

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Pseudomonas aeruginosa USM-AR2 culture containing biosurfactant facilitates crude oil distillation process

Pseudomonas aeruginosa USM-AR2 culture containing biosurfact...

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2011 International Conference on Biotechnology and Environment Management ( ICBEM 2011）

作者： Nur Asshifa Md Noh Salwa Mohd Salleh mohamad nasir mohamad ibrahim Ahmad Ramli Mohd Yahya School of Biological Sciences Universiti Sains Malaysia 11800 Minden Penang Malaysia School of Chemical Sciences Universiti Sains Malaysia 11800 Minden Penang Malaysia

Petroleum supplies a large portion of the world’s energy, thereby driving industrial civilization. It remains an important factor in dictating market prices of diverse products and services. Distillation of crude oil is a common fractionation method of petroleum producing desirable products, such as automotive fuel and kerosene. Conventional distillation has been the current fractionation process for decades, producing distillates of interest and is conducted without any involvement of biological materials. The process involves tremendous amount of thermal energy and requiring a long time. This research offers an improved distillation performance and yield. A small amount of rhamnolipid produced from a microbial culture Pseudomonas aeruginosa USM-AR2, is added and mixed thoroughly with the crude oil prior to distillation. This results in a drastic reduction in distillation time without affecting or reducing the quality of the distillate. The pretreatment accelerates the emulsification and biodegradation process by decreasing surface tension and viscosity of oil, which in turn resulted in the shorter distillation times. Reducing the distillation times translates to energy and cost savings in producing petroleum products. Since oil prices affect many other industries, this discovery will have a great impact on the economy.

关键词： rhamnolipid distillation crude oil emulsification Pseudomonas aeruginosa

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Laboratory Evaluation of Fiber-Modified Asphalt Mixtures Incorporating Steel Slag Aggregates

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Computers, Materials & Continua 2022年第3期70卷 5967-5990页

作者： Adham Mohammed Alnadish mohamad Yusri Aman Herda Yati Binti Katman Mohd Rasdan ibrahim Department of Civil Engineering and Built Environment Universiti Tun Hussein Onn MalaysiaParit Raja86400Malaysia Department of Civil Engineering Universiti Tenaga NasionalKajang43000Malaysia Department of Civil Engineering Universiti MalayaKuala Lumpur50603Malaysia

Vigorous and continued efforts by researchers and engineers have contributed towards maintaining environmental sustainability through the utilization of waste materials in civil engineering applications as an alternative to natural sources.In this study,granite aggregates in asphaltic mixes were replaced by electric arc furnace(EAF)steel slag aggregates with different proportions to identify the best combination in terms of superior performance.Asphalt mixtures showing the best performance were further reinforced with polyvinyl alcohol(PVA),acrylic,and polyester fibers at the dosages of 0.05%,0.15%,and 0.3%by weight of the aggregates.The performance tests of this study were resilient modulus,moisture susceptibility,and indirect tensile fatigue cracking test.The findings of this study revealed that the asphalt mixtures containing coarse steel slag aggregate exhibited the best performance in comparison with the other substitutions.Moreover,the reinforced asphalt mixtures with synthetic fibers at the content of 0.05%exhibited an almost comparable performance to the unreinforced asphalt mixtures.Modifying the asphalt mixtures with PVA,acrylic,and polyester fibers at the proportion of 0.15%have improved the fatigue cracking resistance by 41.13%,29.87%,and 18.97%,respectively.Also,the fiber-modified asphalt mixtures with PVA,acrylic,and polyester have enhanced the fatigue cracking resistance by about 57%,44%,and 39%,respectively.The results of the resilient modulus demonstrated that as the fiber content increase,the resilient modulus of the reinforced asphalt mixtures decreases.Therefore,introducing synthetic fibers at the content of 0.3%has slightly decreased the resilient modulus in comparison with unreinforced mixtures.On the other hand,the results of the mechanisticempirical pavement design showed that the reinforced asphalt mixes with a high content of synthetic fibers have shown lower service life than the control mixes due to the low resilient modulus.On the contrary,based on the laboratory results,the asphalt m

关键词： Steel slag aggregate polyvinyl alcohol fiber acrylic fiber polyester fiber cracking resistance resilient modulus

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Conflict Resolution Strategy in Handover Management for 4G and 5G Networks

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Computers, Materials & Continua 2022年第9期72卷 5215-5232页

作者： Abdulraqeb Alhammadi Wan Haslina Hassan Ayman A.El-Saleh Ibraheem Shayea Hafizal mohamad Yousef ibrahim Daradkeh Communication Systems and Networks Research Lab Malaysia-Japan International Institute of TechnologyUniversiti Teknologi Malaysia54100Kuala LumpurMalaysia College of Engineering A’sharqiyah University(ASU)Ibra400Oman Department of Electronics and Communication Engineering Faculty of Electrical and Electronics EngineeringIstanbul Technical University(ITU)Istanbul34467Turke Faculty of Engineering and Built Environment Universiti Sains Islam MalaysiaBandar Baru Nilai71800Malaysia Department of Computer Engineering and Networks College of Engineering at Wadi AddawasirPrince Sattam Bin Abdulaziz UniversityAl Kharj11991KSA

Fifth-generation(5G)cellular networks offer high transmission rates in dense urban environments.However,a massive deployment of small cells will be required to provide wide-area coverage,which leads to an increase in the number of handovers(HOs).Mobility management is an important issue that requires considerable attention in heterogeneous networks,where 5G ultra-dense small cells coexist with current fourth-generation(4G)networks.Although mobility robustness optimization(MRO)and load balancing optimization(LBO)functions have been introduced in the 3GPP standard to address HO problems,non-robust and nonoptimal algorithms for selecting appropriate HO control parameters(HCPs)still exist,and an optimal solution is subjected to compromise between LBO and MRO functions.Thus,HO decision algorithms become inefficient.This paper proposes a conflict resolution technique to address the contradiction between MRO and LBO functions.The proposed technique exploits received signal reference power(RSRP),cell load and user speed to adapt HO margin(HM)and time to trigger(TTT).Estimated HM and TTT depend on a weighting function and HO type which is represented by user status during mobility.The proposed technique is validated with other existing algorithms from the literature.Simulation results demonstrate that the proposed technique outperforms existing algorithms overall performance metrics.The proposed technique reduces the overall average HO ping-pong probability,HO failure rate and interruption time by more than 90%,46%and 58%,respectively,compared with the other schemes overall speed scenarios and simulation time.

关键词： Mobility management handover 5G heterogeneous networks

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An Optimized Ensemble Model for Prediction the Bandwidth of Metamaterial Antenna

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Computers, Materials & Continua 2022年第4期71卷 199-213页

作者： Abdelhameed ibrahim Hattan F.Abutarboush Ali Wagdy Mohamed mohamad Fouad El-Sayed M.El-kenawy Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Electrical Engineering Department College of EngineeringTaibah UniversityMedina42353Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyEgypt

Metamaterial Antenna is a special class of antennas that uses metamaterial to enhance their performance.Antenna size affects the quality factor and the radiation loss of the antenna.Metamaterial antennas can overcome the limitation of bandwidth for small antennas.Machine learning(ML)model is recently applied to predict antenna parameters.ML can be used as an alternative approach to the trial-and-error process of finding proper parameters of the simulated antenna.The accuracy of the prediction depends mainly on the selected model.Ensemble models combine two or more base models to produce a better-enhanced model.In this paper,a weighted average ensemble model is proposed to predict the bandwidth of the Metamaterial Antenna.Two base models are used namely:Multilayer Perceptron(MLP)and Support Vector Machines(SVM).To calculate the weights for each model,an optimization algorithm is used to find the optimal weights of the ensemble.Dynamic Group-Based Cooperative Optimizer(DGCO)is employed to search for optimal weight for the base models.The proposed model is compared with three based models and the average ensemble model.The results show that the proposed model is better than other models and can predict antenna bandwidth efficiently.

关键词： Metamaterial antenna machine learning ensemble model multilayer perceptron support vector machines

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Controlled growth and composition of multivariate metal-organic frameworks-199 via a reaction-diffusion process

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Nano Research 2021年第2期14卷 423-431页

作者： Razan lssa Fayrouz Abou ibrahim Mazen Al-Ghoul mohamad Hmadeh Department of Chemistry American University of BeirutP.O.Box 11-0236RiadEl-Solh 11072020BeirutLebanon Department of Chemistry McGill University801 Sherbrooke Street WestMontreal H2A 0B8Canada

In this paper,we exploit our prior successful synthesis of MOF-199 single crystals using the reaction-diffusion framework(RDF),to synthesize multivariate metal-organic frameworks(MTV-MOFs)version with enhanced properties.The MTV-MOFs are synthesized by creating defects within the MOF-199 crystal structure by integrating organic linkers entailing different functional groups.Accordingly,5-aminoisophthalic acid(NH_(2)-BDC)and 5-hydroxyisophthalic acid(OH-BDC)are separately mixed with 1,3,5-benzenetricarboxylic acid(BTC)in three different starting ratios of X-BDC:BTC(1:3,1:1)and(3:1).The effects of this linker on the morphology of the synthesized MTV-MOFs,their thermal stability,and their surface area are investigated.The extent of the incorporation of the linkers in the framework is elucidated via^(1)H-NMR spectroscopy and it is shown that the incorporation varies as a function of the location along the tubular reactor,a characteristic of RDF.The enhanced properties of the synthesized MTV-MOFs are further demonstrated by measuring its adsorptive capability for methylene blue(MB)and rhodamine B(Rh B)in aqueous solution,and compared with that of the as-synthesized MOF-199.The kinetic and thermodynamic studies reveal that MTV-MOFs with the ratio of X-BDC:BTC(1:1)exhibit the best uptakes of MB(263 mg/g)for X=OH and Rh B(156 mg/g)for X=NH_(2).The adsorbents are also easily regenerated for three consecutive cycles without losing their efficiency.We finally demonstrate that MTV-MOFs can be designed to tune the dye removal selectivity and enhance the removal capacity of both MB and RhB in a binary aqueous solution of these dyes.

关键词： reaction-diffusion framework(RDF) multivariate metal-organic frameworks(MTV-MOFs) adsorption methylene blue(MB) rhodamine B(Rh B)

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