4.7 Article

Validation and application of a membrane filtration evaluation protocol for oil-water separation

Journal

JOURNAL OF WATER PROCESS ENGINEERING
Volume 43, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jwpe.2021.102185

Keywords

Ultrafiltration; Microfiltration; Oil-water separation; Membrane filtration; Experimental protocol

Funding

  1. Qatar National Research Fund (QNRF) as part of the Qatar National Priorities Research Program (NPRP) [NPRP10-0127-170269]

Ask authors/readers for more resources

Membrane filtration processes like microfiltration (MF) and ultrafiltration (UF) are effective in industrial wastewater treatment, generating suitable quality permeate for water reuse. Research has focused on developing new polymers to improve oil-water separation performance of commercial MF/UF membranes. A comprehensive protocol is still lacking to assess membrane performance in terms of flux, rejection, fouling, and cleanability.
Membrane filtration processes like microfiltration (MF) and ultrafiltration (UF) are proven to be effective in industrial wastewater treatment, including oil-water separation, as they generate suitable quality permeate for water reuse applications. Various research efforts have been conducted in areas of developing and/or modifying commercial MF/UF membrane materials through synthesizing new advanced polymers that promise improvement in oil-water separation performance. Although multiple MF/UF testing procedures were developed, there is still a gap in literature on having a comprehensive protocol that assesses the performance of the membranes in terms of flux, rejection, fouling, and cleanability. This paper delivers a robust bench scale testing procedure incorporating experiences and lessons learned from literature. The evaluation procedure includes three main testing steps: initial characterization, operating performance, and cleaning and recovery. The protocol was designed to mimic industrial conditions by using a representative synthetic produced water solution and operating multiple consecutives cycles of oil-water filtration followed by membrane chemical cleaning. The procedure was initially validated on multiple commercial MF/UF membranes having different pore sizes/MWCOs and chemistries obtained from various manufacturers and then applied to evaluate emerging membrane materials. The protocol was found to be reliable in evaluating the performance trends of various commercial membranes and effective in comparing the performance of emerging membranes. The developed procedure is proposed to be applied by researchers to assess the performance of new membrane materials as compared to relevant commercial products.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Artificial Intelligence

Deep learning-based multidimensional feature fusion for classification of ECG arrhythmia

Jianfeng Cui, Lixin Wang, Xiangmin He, Victor Hugo C. De Albuquerque, Salman A. AlQahtani, Mohammad Mehedi Hassan

Summary: Feature extraction plays a crucial role in arrhythmia classification. This paper presents a feature extraction method that combines traditional approaches and 1D-CNN to improve the accuracy of arrhythmia classification. Experimental results show that the proposed method achieves an average classification accuracy of 98.35%, surpassing the latest methods.

NEURAL COMPUTING & APPLICATIONS (2023)

Article Business, Finance

Evolution of research in finance over the last two decades-A topographical view

Yasser Alhenawi, M. Kabir Hassan, Rashedul Hasan

Summary: This study introduces a novel approach by constructing a topographical map to illustrate the interrelationship among various finance topics, providing a bird's eye view of historical trends and future research areas in finance literature. The analysis identifies emerging topics, stable themes, and patterns of interdependence among topics, shedding light on the evolution of finance literature and identifying potential areas for future research.

RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE (2022)

Article Biochemistry & Molecular Biology

Thymoquinone and quercetin induce enhanced apoptosis in non-small cell lung cancer in combination through the Bax/Bcl2 cascade

Shoaib Alam, Taj Mohammad, Rayees A. Padder, Md. Imtaiyaz Hassan, Mohammad Husain

Summary: This study explored the apoptotic potential of natural compounds targeting Bax and Bcl2 using in-silico and in-vitro methods. Thymoquinone and quercetin showed good binding affinities towards Bax and Bcl2, leading to stable complexes maintained by various noncovalent interactions. In vitro experiments demonstrated their impressive apoptotic induction potential and ability to sensitize NSCLS cells towards apoptosis.

JOURNAL OF CELLULAR BIOCHEMISTRY (2022)

Article Plant Sciences

Drought Stress in Brassica napus: Effects, Tolerance Mechanisms, and Management Strategies

Maria Batool, Ali Mahmoud El-Badri, Muhammad Umair Hassan, Yang Haiyun, Wang Chunyun, Yan Zhenkun, Kuai Jie, Bo Wang, Guangsheng Zhou

Summary: Drought poses serious threats to global crop production, including oilseed crops like Brassica napus L. Various approaches have been used to increase drought tolerance, but there is room for further improvement. Future research should focus on developing genetically engineered rapeseed plants with enhanced drought tolerance.

JOURNAL OF PLANT GROWTH REGULATION (2023)

Article Ophthalmology

Utilisation of composite endpoint outcome to assess efficacy of tocilizumab for non-infectious uveitis in the STOP-Uveitis Study

Muhammad Hassan, Mohammad Ali Sadiq, Maria Soledad Ormaechea, Gunay Uludag, Muhammad Sohail Halim, Rubbia Afridi, Diana Do, Yasir Jamal Sepah, Quan Dong Nguyen

Summary: Intravenous tocilizumab showed efficacy in improving or maintaining stability in patients with non-infectious uveitis when assessed using a composite endpoint scoring system.

BRITISH JOURNAL OF OPHTHALMOLOGY (2023)

Article Computer Science, Hardware & Architecture

Ejection Fraction estimation using deep semantic segmentation neural network

Md Golam Rabiul Alam, Abde Musavvir Khan, Myesha Farid Shejuty, Syed Ibna Zubayear, Md Nafis Shariar, Meteb Altaf, Mohammad Mehedi Hassan, Salman A. AlQahtani, Ahmed Alsanad

Summary: This paper proposes an automated Ejection Fraction estimation system from 2D echocardiography images using deep semantic segmentation neural networks. Two parallel pipelines of deep semantic segmentation neural network models have been proposed for efficient left ventricle segmentation, and three different neural networks, UNet, ResUNet, and Deep ResUNet, have been implemented. The most accurate model achieved high Dice scores for left ventricle segmentation in both systolic and diastolic states. The proposed system can remove the eyeball estimation practice and reduce inter-observer variability.

JOURNAL OF SUPERCOMPUTING (2023)

Article Computer Science, Information Systems

Asymmetric hashing based on generative adversarial network

Muhammad Umair Hassan, Dongmei Niu, Mingxuan Zhang, Xiuyang Zhao

Summary: This research proposes a novel asymmetric learning-based generative adversarial network (AGAN) for image retrieval, integrating feature learning with hashing and introducing three loss functions that significantly improve retrieval performance.

MULTIMEDIA TOOLS AND APPLICATIONS (2023)

Article Engineering, Civil

Blockchain-Based Privacy-Preserving Authentication Model Intelligent Transportation Systems

Kashif Naseer Qureshi, Gwanggil Jeon, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Kuljeet Kaur

Summary: Intelligent Transportation Systems (ITS) have gained popularity due to their smart services, but the increasing number of users has raised concerns over data processing, storage, security, and privacy. To address these concerns, this paper proposes a Blockchain-based Privacy-Preserving Authentication (BPPAU) model that uses smart contracts, access control policies, and on-demand functions to manage data while maintaining user privacy. The model's performance is evaluated through simulation tests analyzing transaction cost, transaction per second, and computational time with various data sizes and block times.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Engineering, Civil

Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems

Jia Hu, Kuljeet Kaur, Hui Lin, Xiaoding Wang, Mohammad Mehedi Hassan, Imran Razzak, Mohammad Hammoudeh

Summary: This paper proposes a Transfer Learning based Trajectory Anomaly Detection strategy, named TLTAD, for IoT-empowered Maritime Transportation Systems (IoT-MTS). Experimental results show that TLTAD can accurately detect anomalies in ships' trajectories and reduce model training time.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Engineering, Civil

Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems

Peng Xu, Ke Wang, Mohammad Mehedi Hassan, Chien-Ming Chen, Weiguo Lin, Md Rafiul Hassan, Giancarlo Fortino

Summary: This paper employs a One-Shot Neural Architecture Search (NAS) to generate derivative models with different scales and studies the relationship between network sizes and model robustness. The experimental results show that reducing model parameters can increase model robustness under maximum adversarial attacks, while increasing model parameters can enhance model robustness under minimum adversarial attacks. This analysis helps to understand the adversarial robustness of models with different scales for edge AI transportation systems.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Infectious Diseases

Cytotoxicity and Antibiofilm Activity of Silver-Polypropylene Nanocomposites

Denise Bellisario, Loredana Santo, Fabrizio Quadrini, Maryam Hassiba, Nour Bader, Shazeda H. Chowdhury, Mohammad K. Hassan, Susu M. Zughaier

Summary: The development of biocompatible nanomaterials is crucial for prosthetics and medical applications. This study focused on the development of nanoparticles with cytotoxicity and antibiofilm properties. New polymer nanocomposites (PNCs) containing ultra-low amounts of silver nanoplates were tested, showing antibiofilm activity without inhibiting bacterial growth or causing cytotoxicity or significant immune response.

ANTIBIOTICS-BASEL (2023)

Article Biochemistry & Molecular Biology

Effect of Thermally Reduced Graphene on the Characteristics and Performance of Polysulfone Mixed Matrix Ultrafiltration Membranes

Omnya Abdala, Ahmed Nabeeh, Abdul Rehman, Ahmed Abdel-Wahab, Mohammad K. Hassan, Ahmed Abdala

Summary: This article enhances the performance of Polysulfone (PSF) mixed matrix membranes (MMMs) by incorporating different concentrations of thermally reduced graphene (TRG) nanofillers. The impact of TRG loading on the characteristics of the membrane was analyzed, and the PSF-TRG MMMs showed improved hydrophilicity, porosity, and mechanical properties. The MMMs also demonstrated superior performance in oil-water separation and air dehumidification applications.

MEMBRANES (2023)

Article Engineering, Civil

DLTIF: Deep Learning-Driven Cyber Threat Intelligence Modeling and Identification Framework in IoT-Enabled Maritime Transportation Systems

Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi, Sahil Garg, Mohammad Mehedi Hassan

Summary: The recent growth of IoT technologies in the maritime industry has digitalized Maritime Transportation Systems (MTS), but also introduced cybersecurity threats. Cyber Threat Intelligence (CTI) is an effective security strategy, but existing solutions have low detection rates and high false alarm rates. To address these challenges, an automated framework called DLTIF has been proposed, which can accurately identify threat types.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Engineering, Civil

Heterogeneous Blockchain and AI-Driven Hierarchical Trust Evaluation for 5G-Enabled Intelligent Transportation Systems

Xiaoding Wang, Sahil Garg, Hui Lin, Georges Kaddoum, Jia Hu, Mohammad Mehedi Hassan

Summary: This paper proposes a hierarchical trust evaluation strategy based on heterogeneous blockchain, utilizing federated deep learning technology for Intelligent Transportation Systems (ITS) security.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Fisheries

Do derived whitecheek shark proteins motivate T cells to fight cancer cells? A case study in using SW742 cell line

F. Arjmand, A. Sheikhi, Ghavam P. Mostafavi, E. Ramezani-Fard, Muhammad Z. Hassan

Summary: The extracted shark cartilage protein can stimulate the activity of NK cells by increasing the concentration, volume, and exposure time, but cannot activate specific receptors on T cells.

IRANIAN JOURNAL OF FISHERIES SCIENCES (2022)

Article Engineering, Environmental

Cr(VI) removal from fiber cement process waters: a techno-economic assessment

Francisco de Borja Ojembarrena, Elena Fuente, Angeles Blanco, Carlos Negro

Summary: Accumulation of Cr(VI) in industrial fiber cement process water can affect product quality and health, and it needs to be removed to avoid environmental risks. The study found that cationic cellulose nanocrystals (CCNCs) have higher adsorption efficiency and lower cost compared to conventional adsorbents.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Review Engineering, Environmental

Current problems and countermeasures of constructed wetland for wastewater treatment: A review

Shentan Liu, Yangchen Zhang, Xiaojuan Feng, Sang-Hyun Pyo

Summary: This paper summarizes the common problems of constructed wetlands (CWs) and proposes corresponding optimized solutions, including thermal insulation and additional aeration in cold climates, choosing suitable plant species and planting patterns to enhance phytoremediation in CWs, using various methods to monitor and evaluate CW clogging, implementing anti-clogging measures, controlling greenhouse gas emissions during CW treatment, constructing and utilizing CW databases, designing appropriate CW types, and implementing strict technical management and supervision.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Unlocking the potential of Chlamydomonas sp. for sustainable nutrient removal from POME: A biokinetic investigation

Norzila Mohd, Nazlina Haiza Mohd Yasin, Wan Hasnidah Wan Osman, Mohd Sobri Takriff

Summary: This study demonstrates that Chlamydomonas sp. is effective in removing nutrients from palm oil mill effluent and shows particular efficiency in the removal of ammonium and phosphate.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

High-efficient co-removal of copper and zinc by modified biochar derived from tea stalk: Characteristics, adsorption behaviors, and mechanisms

Mingzhen Zhang, Guijian Liu, Ruijia Liu, Jinzhao Xu, Wen Si, Yong Wei

Summary: Tieguanyin tea stem was used to synthesize modified biochar for the adsorption of copper and zinc. Among the modified biochar, Fe-BCs had the highest adsorption capacity, with Fe-BC650 being the best adsorbent. It reached adsorption equilibrium in 1 minute and had a maximum adsorption capacity of 303.5996 mg/g for Cu (II) and 254.0711 mg/g for Zn (II) in single-metal solutions. However, there were antagonistic impacts between Cu2+ and Zn2+.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Ultra-high adsorption capacity and selectivity of photo-enhanced sulfur-rich M2S3 (M--Bi and Sb) for gold recovery from electronic wastewater

Lingling Zhao, Qiaoshu Zhou, Yun Yang, Yuan Zhang, Yewei Qiu, Yanjun Chen, Xian Jin, Xiangjun Yang, Shixiong Wang

Summary: This research presents a method for selectively recovering gold from e-waste water using metal sulfides microspheres prepared by hydrothermal technique. The results show that the assistance of visible light significantly improves the gold adsorption performance of metal sulfides. The metal sulfides exhibit excellent gold adsorption properties, high selectivity, ultra-high adsorption capacity, and good recyclability.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Design and performance assessment of novel Fe3O4 decorated nanoblend of guar gum/graphene oxide flakes and CuO for mitigation of fluoroquinolones from wastewater

Laishram Saya, W. Rameshwor Singh, Sunita Hooda

Summary: Organic-inorganic nanoblends, such as polysaccharide-blended-inorganic ones, have versatile applications and have gained significant research attention. In this study, a magnetic guar gum/graphene oxide nanocomposite blended with CuO was successfully prepared and investigated for its adsorption capacity for ciprofloxacin removal. The results showed that the nanocomposite exhibited excellent adsorption capacity and the adsorption process was spontaneous.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Fabrication of magnetic biochar-MIL-68(Fe)-supported cobalt composite material toward the catalytic reduction performance of crystal violet

Umit Ecer, Sakir Yilmaz

Summary: A novel and effective catalyst Co@MIL-68(Fe)@Fe3O4@CM-BC was synthesized and used for the catalytic reduction of crystal violet in aqueous environments. The catalyst showed high efficiency in degrading crystal violet under specific conditions, and exhibited good regeneration performance.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Single-stage partial nitrification/anammox process performance restoration by bio-augmenting nitrifiers with or without nitrite oxidizing bacteria suppression

Chi Zhang, Miao Zhang, Haohan Yang, Wei Cai, Jun Wu

Summary: Enhancing the bioaugmentation of common nitrifiers in the partial nitrification/anammox process can decrease the activity of nitrite oxidizing bacteria and increase the activity of anammox bacteria, leading to improved total nitrogen removal efficiency.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Employing low dissolved oxygen strategy to simultaneously improve nutrient removal, mitigate membrane fouling, and reduce energy consumption in an AAO-MBR system: Fine bubble or coarse bubble?

Runzhang Zuo, Dajun Ren, Yangfan Deng, Canhui Song, Yubin Yu, Xiejuan Lu, Feixiang Zan, Xiaohui Wu

Summary: This study found that fine bubble aeration in membrane bioreactors (MBR) can better control membrane fouling and reduce energy consumption. However, compared to fine bubble aeration, coarse bubble aeration released more proteins and polysaccharides, resulting in a decrease in functional bacteria and enzymes involved in nitrogen and phosphorus pathways.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Compact wirelessly-powered photocatalyst-coated spheres: Concept development and application for oxidative wastewater treatment and membrane fouling control

Ch Tahir Mehmood, Jiekai Dai, Hanjun Zhao, Ziyi Zhong

Summary: Wirelessly powered photocatalyst-coated spheres (WPS) have been developed and demonstrated for various applications, including photodegradation and fouling control. These WPS are cost-effective, easy to fabricate, and have excellent visible light sources, making them suitable as carriers for photocatalysts.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Cobalt-loaded carbon nanofibers as magnetic catalyst for tetracycline degradation through peroxydisulfate activation: Non-radical dominated mechanism

Yifan Wang, Xiaoxuan Kang, Yuting Li, Ruyi Li, Chang Wu, Luyao Wang, Chongqing Wang, Tao Yang, Ming Ge, Zhangxing He

Summary: Cobalt/carbon nanofibers (Co/CNF) were prepared and exhibited excellent catalytic activity in the degradation of tetracycline by activating peroxodisulfate (PDS). The effects of process parameters on tetracycline removal were studied, and the reaction mechanism was confirmed through experiments.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Developing a novel lightweight substrate for constructed treatment wetland: The idea and the reality

Ting Wei, Yaqian Zhao, Jia Guo, Bin Ji, Alvaro Pun Garcia, Abraham Esteve Nunez

Summary: This study developed a novel lightweight substrate (Al-NLS) composed of aluminum sludge and polyurethane, and investigated its effectiveness in constructed wetlands (CWs). Results showed that Al-NLS had favorable adsorption capacities for phosphorus and removal efficiencies for pollutants in real domestic wastewater. It also positively influenced the microbial community. Therefore, Al-NLS can be considered as a new alternative substrate in CWs technology.

JOURNAL OF WATER PROCESS ENGINEERING (2024)

Article Engineering, Environmental

Degradation of chromosomal and plasmid encoded extracellular and intracellular resistance genes across different types and sizes in water matrices during ozone-based oxidation process

Dabojani Das, Achinta Bordoloi, Heyang Yuan, Daniel J. Caldwell, Rominder P. S. Suri

Summary: This study evaluates the degradation kinetics of antibiotic resistance genes and mobile genetic elements in water matrices by ozone treatment. The results show that extracellular antibiotic resistance genes can be effectively removed, while intracellular genes are more resistant to degradation. The impact of wastewater matrix on gene degradation is minimal.

JOURNAL OF WATER PROCESS ENGINEERING (2024)