Article
Water Resources
Soumaya Elarbaoui, Latifa Smii, Zahrah Alhalili, Moez Smiri
Summary: This study investigated the effect of chemical dispersant on microbial oil degradation. The results showed that the dispersant increased bacterial activity and resulted in higher COD levels, but did not stimulate microbial hydrocarbon degradation.
APPLIED WATER SCIENCE
(2022)
Editorial Material
Multidisciplinary Sciences
Terry J. Mcgenity, Pierre Philippe Laissue
Summary: Understanding the destiny of crude oil that enters the ocean is crucial in minimizing its negative impacts on the environment, economy, and society. Research has found that microbial degradation is a key process in removing hydrocarbons from oil, and turbulent seas and response measures can promote the growth of oil-degrading microorganisms. The discovery of bacteria attaching to oil droplets and reshaping them enhances our understanding of oil transport and biodegradation in ecologically sensitive areas.
Article
Engineering, Chemical
Najihah Binti Abdul Rashid, Abdul Latif Abdul Rani, Mardhiah Farhana Binti Omar, Muhd Afiq Hizami Abdullah, Endah Budi Permana Putri, Achmad Syafiuddin
Summary: This study investigated the aerobic treatment of highly polluted waste cooking oil using a sequencing batch reactor (SBR). The results showed that the SBR treatment was able to effectively remove chemical oxygen demand (COD) and turbidity, achieving acceptable discharge standards.
DESALINATION AND WATER TREATMENT
(2022)
Article
Environmental Sciences
Jun Ma, Lei Liu, Qiang Xue, Yong Yang, Yi Zhang, Xunchang Fei
Summary: Aeration is crucial for accelerating municipal solid waste degradation in landfills, with an optimal aeration rate found to be between 0.1 and 0.3 L min(-1) kg(-1) DOM for enhancing kCOD. Both excessive and insufficient aeration rates can decrease kCOD, making aeration rate a key factor in MSW degradation.
Article
Multidisciplinary Sciences
M. Prasad, N. Obana, S. -Z. Lin, S. Zhao, K. Sakai, C. Blanch-Mercader, J. Prost, N. Nomura, J. -F. Rupprecht, J. Fattaccioli, A. S. Utada
Summary: During the consumption of alkanes, Alcanivorax borkumensis forms a biofilm to optimize oil consumption, and the morphology of the biofilm is related to localized defects in cell ordering.
Article
Environmental Sciences
Lai Fatt Chuah, Kit Wayne Chew, Awais Bokhari, Muhammad Mubashir, Pau Loke Show
Summary: This study presents a method to enhance the biodegradation of oil in seawater by using a mixture of oil and microorganisms. By forming a bacterial consortium, the inhibiting metabolites produced during oil degradation can be removed and the growth and degradation rate can be improved. The consortium shows higher degradation efficiency compared to the pure culture of a single bacterium.
ENVIRONMENTAL RESEARCH
(2022)
Article
Polymer Science
Ricardo Beiras, Sara Lopez-Ibanez
Summary: Environmental persistence is a drawback of plastic materials. Compostable alternatives are being used in some commercial applications to replace polyolefins. A method using a non-linear logistic model to calculate ultimate biodegradability has been developed, and a novel material has shown promising biodegradability in marine conditions.
Article
Chemistry, Physical
Xiuping Chen, Yajie Hou, Hua Cheng, Mutai Bao, Yiming Li
Summary: The study found that using PAH-ATP modified bacteria can effectively emulsify oil and facilitate subsequent biodegradation. PAH-ATP can capture bacteria to the surface of oil droplets, significantly improving the degradation efficiency of oil pollution. Furthermore, the presence of PAH-ATP does not inhibit the activity and reproduction of bacteria.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Materials Science, Composites
Muslum Altun, Mithat Celebi, Sinan Sen, Oznur Kokpinar, Hanife Songul Kacoglu
Summary: Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) was produced from waste vegetable oil and filled with pistachio shell flour to create biodegradable low-cost composites. Maleic anhydride (MA) grafted PHBV (PHBV-MA) was used as a compatibilizer and pretreatment of the pistachio shell was carried out. The study found that the addition of the pistachio shell fillers increased the crystallization percentage and temperature of the composites, resulting in improved mechanical properties. The biodegradability of the composites also increased with the filler ratio.
POLYMER COMPOSITES
(2023)
Article
Environmental Sciences
Vincent Hickl, Gabriel Juarez
Summary: This study investigated the effects of dispersants on the attachment and growth of marine bacteria on different sizes of crude oil droplets using microfluidics and time-lapse microscopy. The results showed that dispersants do not affect these biophysical processes.
MARINE POLLUTION BULLETIN
(2022)
Article
Environmental Sciences
Arumugam Arul Prakash, Kuppusamy Sathishkumar, Mohamad S. AlSalhi, Sandhanasamy Devanesan, Panagal Mani, Seralathan Kamala-Kannan, Selvaraj Vijayanand, Aruliah Rajasekar
Summary: Synthetic azo dyes used in textile industries pose significant environmental concerns when released as effluents. This study evaluated the use of photo-assisted electrooxidation (PEO) followed by biodegradation for the treatment of textile effluents. The results showed that PEO and subsequent biodegradation effectively reduced the chemical oxygen demand (COD) levels in the effluents, suggesting that this integrated approach could be an efficient and eco-friendly method for textile effluent degradation.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Mohd Nasrullah, Sabah Ansar, Santhana Krishnan, Lakhveer Singh, Shaik Gouse Peera, A. W. Zularisam
Summary: In this study, the electrocoagulation parameters for treating palm oil mill effluent (POME) were optimized by applying high current intensity. The optimized operating parameters achieved high removal rates for COD, BOD, and SS.
Review
Biology
Debbie Dominic, Siti Baidurah
Summary: The article summarizes the recent advances in biological processing technology for the treatment of palm oil mill effluent (POME). Biological treatments are preferred due to their eco-friendly attributes and feasibility. The effective processing technology for POME treatment is the upflow anaerobic sludge blanket reactor. The article emphasizes the importance of treating POME prior to discharge into the environment to protect human health and the environment.
Article
Chemistry, Physical
Zepeng Fang, Dagui Chen, Fengpo Yan, Jiangquan Lv, Yongjing Wang, Xiangfeng Guan
Summary: By preparing a new electrode composite of Ni/ZnO/Cu, the study successfully improved the sensitivity and portability of COD electrochemical detection.
SURFACES AND INTERFACES
(2021)
Article
Chemistry, Analytical
Xiaoting Chen, Yiyuan Chen, Huizhen Lin, Ziye Liu, Cien Peng, Xiaolong Xu, Jianbo Jia, Mengchen Zhang, Changyu Liu
Summary: This study proposes an in-situ and self-adaptive BOD bioreaction sensing system for rapid and reliable BOD determination. A microfluidic coil bioreactor with self-renewed biofilm is used to colonize environmental microbes on its inner surface, allowing for self-renewal and adaptation to environmental changes. The system achieves a high TOC removal rate and exceptional analytical performance, demonstrating the potential for practical online BOD monitoring devices for water quality assessments.
Article
Biochemical Research Methods
Sulayman A. Oladepo, Alexis Nzila, Abdulmalik Aminu, Saravanan Sankaran
Summary: We have developed a new assay system for the detection of miR-21 in cancer cells. The system, which operates at room temperature without enzymatic amplification, utilizes a hairpin smart probe designed to specifically recognize the target sequence of miR-21. The results show that the smart probe has high sequence recognition capability and selectivity, making it a reliable diagnostic tool for miR-21 in cancer.
ANALYTICAL BIOCHEMISTRY
(2022)
Article
Energy & Fuels
Nahid Sultana, S. M. Zakir Hossain, M. Abusaad, N. Alanbar, Y. Senan, S. A. Razzak
Summary: This study successfully developed a model for biodiesel production using microalgae oil with Bayesian optimization algorithm-based machine learning techniques, which showed better performance compared to existing models. By hybridizing BOA with ANN and SVR, the model achieved higher accuracy and reliability, as validated by extra literature data.
Article
Energy & Fuels
S. M. Z. Hossain, Nahid Sultana, Muhammad Faisal Irfan, S. Manirul Haque, Nawaf Nasr, Shaikh Abdur Razzak
Summary: In this article, super learner approaches such as hybrid Bayesian Optimization Algorithm-Support Vector Regression (BOA-SVR), Bayesian Optimization Algorithm-Boosted Regression Tree (BOA-BRT), along with a statistical method (response surface methodology, RSM), were utilized for predicting biodiesel synthesis using waste date seed oil as feedstock. The results showed that the BOA-SVR model outperformed other models with higher accuracy and prediction precision, having lower errors and a higher coefficient of determination (R-2).
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Environmental Sciences
S. M. Zakir Hossain, Nahid Sultana, M. Ezzudin Mohammed, Shaikh A. Razzak, Mohammad M. Hossain
Summary: This study optimized the treatment of tertiary municipal wastewater utilizing Chlorella kessleri microalgae with a hybrid support vector regression model and crow search algorithm, achieving significant improvements in N and P removal efficiencies. The best operating conditions were identified as 29.3 degrees C, 24/0 hours light-dark cycle, and a 6:1 N/P ratio, resulting in N and P elimination efficiencies of 99.97% and 93.48% respectively.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Environmental
S. M. Zakir Hossain, Nahid Sultana, Majeed S. Jassim, Gulnur Coskuner, Lujain M. Hazin, Shaikh A. Razzak, Mohammad M. Hossain
Summary: This study develops empirical models for predicting the removal efficiencies of inorganic nitrogen and phosphorus from municipal wastewater using microalgae. The effects of temperature, light-dark cycle, and nitrate-to-phosphate ratio on simultaneous removal of nitrogen and phosphorus were identified. Three competitive soft-computing techniques were used to construct predictive models, and the support vector regression (SVR) model was found to be the most accurate. The SVR models were also able to predict removal efficiencies under different conditions when simulated data was added. Finally, the models were hybridized with a genetic algorithm to optimize nutrient removal efficiency.
JOURNAL OF WATER PROCESS ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
S. M. Zakir Hossain, Nahid Sultana, Shaikh A. Razzak, Mohammad M. Hossain
Summary: This study investigates the effects of temperature, light-dark cycles, and nitrogen-phosphorus ratios on Chlorella vulgaris microalgae biomass productivity and CO2 biofixation. Three artificial intelligence modeling approaches were applied and the support vector regression model showed the best performance. The model also improved the prediction capability of CO2 biofixation compared to the traditional experimental design method. The optimal conditions for maximizing biomass productivity and CO2 biofixation were determined using a multi-objective optimization algorithm.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Mohammed Ameen Ahmed Qasem, Vincent C. O. van Oudenhoven, Amjad A. Pasha, S. Nadaraja Pillai, V. Mahendra Reddy, Usama Ahmed, Shaikh A. Razzak, Eid M. Al-Mutairi, Abdul Gani Abdul Jameel
Summary: In this work, a machine learning model using artificial neural networks (ANN) was developed to predict the threshold sooting index (TSI) of fuels containing oxygenated and hydrocarbon chemical classes. The model showed promising performance with a high correlation between predicted and observed TSI values.
Article
Green & Sustainable Science & Technology
Muhammad Muhitur Rahman, Mohammad Shahedur Rahman, Saidur R. Chowdhury, Alaeldeen Elhaj, Shaikh Abdur Razzak, Syed Abu Shoaib, Md Kamrul Islam, Mohammed Monirul Islam, Sayeed Rushd, Syed Masiur Rahman
Summary: The Kingdom of Saudi Arabia has seen consistent growth in industrial processes and product use (IPPU), leading to increasing emissions. This study analyzes the IPPU sector using time-series and cross-sectional analyses and identifies the leading source categories as petrochemical, iron and steel, and cement production. The study also estimates the emissions for the years up to 2050, projecting a range between 199 and 426 million tons of CO(2)eq. Saudi Arabia has initiated climate change adaptation and economic divergence initiatives, with a focus on the energy sector. The study suggests various mitigation opportunities for the IPPU sector, including energy and emissions efficiency, material efficiency, and demand management.
Article
Biotechnology & Applied Microbiology
Ahmed Altriki, Imtiaz Ali, Shaikh Abdur Razzak, Irshad Ahmad, Wasif Farooq
Summary: This study investigates CO2 biofixation and pyrolytic kinetics of microalga G. pectorale. The experimental results show that the highest rate of CO2 fixation occurs at a CO2 concentration of 2%. Multiple pyrolysis peaks were observed in the thermogravimetric analysis. Different model-free methods were used to calculate the activation energy, and the results were in good agreement with the experimental values. The multilayer perceptron-based artificial neural network regression model demonstrated excellent agreement with the experimental values of thermal decomposition.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Mohammed Omar Faruque, Mohammad Mozahar Hossain, Wasif Farooq, Shaikh Abdur Razzak
Summary: Scenedesmus dimorphus was used for tertiary treatment of municipal wastewater to remove nutrients while producing biomass with lipids for biofuel production. The effect of nitrogen to phosphorous ratios (N:P) in culture media, with and without CO2 supplementation, was investigated through batch experiments. Results showed that Case 2, with CO2 supplementation, produced higher biomass than Case 1. Scenedesmus dimorphus could remove nitrogen and phosphorous from wastewater in a CO2 environment and at the optimal N:P ratio. Total nitrogen removal ranged from 28% to 100% in Case 1 and from 60% to 100% in Case 2, depending on the N:P ratio. Total phosphorous removal ranged from 37% to 57% in both cases. Case 2 also had a higher lipid content of 29% in the biomass.
Article
Chemistry, Physical
Nahid Sultana, S. M. Zakir Hossain, Sumayh S. Aljameel, M. E. Omran, S. A. Razzak, B. Haq, M. M. Hossain
Summary: This study demonstrates the application of a hybrid Bayesian algorithm (BA) and support vector regression (SVR) as a potential super-learner tool (BA-SVR) for predicting biohydrogen production from food waste-originated feedstocks. The proposed BA-SVR models show better performance in predicting the biohydrogen and biomethane responses compared to the existing response surface methodology (RSM) models. The estimated low errors and high adj R2 values indicate reliable model predictions and excellent fitting of the model, respectively.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Environmental Sciences
Saidur Rahman Chowdhury, Shaikh Abdur Razzak, Ikrema Hassan, S. M. Zakir Hossain, Mohammad Mozahar Hossain
Summary: The discovery of microplastics in freshwater and drinking water sources has raised concerns about their potential health risks and the effectiveness of water treatment facilities in removing them. This article discusses the sources, occurrence, and impacts of microplastics on human health and aquatic ecosystems, as well as the various techniques and strategies used for their detection and removal. It emphasizes the need for regulations and effective waste management strategies to reduce plastic consumption and protect the environment.
WATER AIR AND SOIL POLLUTION
(2023)
Article
Microbiology
Mubasher Zahir Hoque, Saravanan Sankaran, Deepak Anand, Musa M. Musa, Alexis Nzila, Gea Guerriero, Khawar Sohail Siddiqui, Irshad Ahmad
Summary: Polycyclic aromatic hydrocarbons (PAHs) are harmful chemicals that are released during petroleum industry activities. Bioremediation of PAHs through microalgal-bacterial consortium (MBC) has shown promise in effectively removing these contaminants. In this study, the ability of Gonium pectorale microalgae to degrade phenanthrene and anthracene was investigated. The results demonstrated that G. pectorale was more efficient in degrading both compounds compared to Bacillus licheniformis bacteria. Additionally, the consortia of G. pectorale and B. licheniformis exhibited an increased degradation efficiency. These findings highlight the potential of G. pectorale in removing PAHs from polluted environments.
FRONTIERS IN MICROBIOLOGY
(2023)
Article
Multidisciplinary Sciences
Mohammed Omar Faruque, Mohammad Mozahar Hossain, Shaikh Abdur Razzak
Summary: Microalgae Scenedesmus dimorphus was cultivated in synthetic wastewater media to investigate its bioenergy potential. Batch experiments with different CO2 concentrations were performed for biomass generation. The highest biomass production was achieved under different CO2 feed concentrations. Cultivation of microalgae with CO2 supplementation significantly impacted lipid buildup in the biomass. Physicochemical characterization revealed that the biomass had a high heating value and low sulfur content, making it a potential fuel feedstock for environmentally friendly bioenergy production.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Zainab H. A. Alnaser, Saidur R. Chowdhury, Shaikh A. Razzak
Summary: This study aims to fill the research gap in constructed wetlands (CWs) technology in hot, arid, and dry climates, and explore the feasibility of introducing this technology into wastewater treatment systems in Saudi Arabia.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
