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Rafryanto AF, Ramadina ZDP, Nur’aini S, Arrosyid BH, Zulfi A, Rochman NT, Noviyanto A, Arramel. High Recovery of Ceramic Membrane Cleaning Remediation by Ozone Nanobubble Technology. ACS OMEGA 2024; 9:11484-11493. [PMID: 38496990 PMCID: PMC10938438 DOI: 10.1021/acsomega.3c08379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/19/2024]
Abstract
The persistent issue of ceramic membrane fouling poses significant challenges to its widespread implementation. To address this concern, ozone nanobubbles (ozone-NBs) have garnered attention due to their remarkable mass transfer efficiency. In this investigation, we present a novel ozone-NB generator system to effectively clean a fouled ceramic membrane that is typically employed in the dye industry. The surface characteristics of the ceramic membrane underwent significant alterations, manifesting incremental changes in surface roughness and foulant accumulation reduction, as evidenced in atomic force microscopy, scanning electron microscopy, X-ray fluorescence, and energy-dispersive spectroscopy. Remarkably, the sequential 4 h cleaning process demonstrates an effective outcome leading to an almost 2-fold enhancement in the membrane flux. The initial fouled state of 608 L/h/m2 increased to 1050 L/h/m2 in the 4 h state with a recovery of 50%. We propose such membrane performance improvement governed by the ozone-NBs with a size distribution of 213.2 nm and a zeta potential value of -20.26 ± 0.13 mV, respectively. This effort showcases a substantial innovative and sustainable technology approach toward proficient foulant removal in water treatment applications.
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Affiliation(s)
- Ande F. Rafryanto
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
- Department
of Chemical Engineering, Imperial College
London, South Kensington
Campus, London SW72AZ, U.K.
| | - Zakia D. P. Ramadina
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
| | - Syarifa Nur’aini
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
| | - Bagas H. Arrosyid
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
| | - Akmal Zulfi
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
- Research
Center for Environmental and Clean Technology, National Research and Innovation Agency (BRIN), Komplek BRIN Cisitu, Bandung 40135, Indonesia
| | - Nurul T. Rochman
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
- Research
Center for Advanced Materials, National
Research and Innovation Agency, South Tangerang, Banten 15314, Indonesia
| | - Alfian Noviyanto
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
- Department
of Mechanical Engineering, Faculty of Engineering, Mercu Buana University, Jl. Meruya Selatan, Kebun Jeruk, Jakarta 11650, Indonesia
| | - Arramel
- Nano
Center Indonesia, Jl. Raya Serpong, South Tangerang, Banten 15314, Indonesia
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Wang L, Li Z, Fan J, Han Z. The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models. CHEMOSPHERE 2024; 349:141031. [PMID: 38145849 DOI: 10.1016/j.chemosphere.2023.141031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 12/27/2023]
Abstract
Recently, membrane separation technology has been widely utilized in filtration process intensification due to its efficient performance and unique advantages, but membrane fouling limits its development and application. Therefore, the research on membrane fouling prediction and control technology is crucial to effectively reduce membrane fouling and improve separation performance. This review first introduces the main factors (operating condition, material characteristics, and membrane structure properties) and the corresponding principles that affect membrane fouling. In addition, mathematical models (Hermia model and Tandem resistance model), artificial intelligence (AI) models (Artificial neural networks model and fuzzy control model), and AI optimization methods (genetic algorithm and particle swarm algorithm), which are widely used for the prediction of membrane fouling, are summarized and analyzed for comparison. The AI models are usually significantly better than the mathematical models in terms of prediction accuracy and applicability of membrane fouling and can monitor membrane fouling in real-time by working in concert with image processing technology, which is crucial for membrane fouling prediction and mechanism studies. Meanwhile, AI models for membrane fouling prediction in the separation process have shown good potential and are expected to be further applied in large-scale industrial applications for separation and filtration process intensification. This review will help researchers understand the challenges and future research directions in membrane fouling prediction, which is expected to provide an effective method to reduce or even solve the bottleneck problem of membrane fouling, and to promote the further application of AI modeling in environmental and food fields.
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Affiliation(s)
- Lu Wang
- College of Food Science and Engineering, Jilin University, Changchun, 130062, People's Republic of China; Research Institute, Jilin University, Yibin, 644500, People's Republic of China
| | - Zonghao Li
- College of Food Science and Engineering, Jilin University, Changchun, 130062, People's Republic of China
| | - Jianhua Fan
- School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, People's Republic of China.
| | - Zhiwu Han
- Key Laboratory of Bionics Engineering of Ministry of Education, Jilin University, Changchun, 130022, People's Republic of China
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Li C, Ma Y, Zhi X, Peng G. Optimization of ultrasonic assisted membrane strategy for saponins from Gynostemma Pentaphyllum with response surface methodology. Food Sci Biotechnol 2023; 32:319-328. [PMID: 36778093 PMCID: PMC9905334 DOI: 10.1007/s10068-022-01196-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/13/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
Gynostemma pentaphyllum saponin has a variety of biological properties. Classic separation methods of saponin, such as resin absorption and preparative chromatography are limited by environmental pollution and high cost. In the study, ultrasonic assisted membrane separation was firstly used to purify saponin from Gynostemma pentaphyllum. Total proteins, polysaccharides, saponin, gypenoside A and rutin were selected as indexes to optimize the pretreatment and purification parameters by response surface methodology. The fitted models were significant (p < 0.05) and the optimal conditions were: (1) removing protein and polysaccharides by MWCO 10,000 Da, ultrasonic power 400 W and pH 7.8; (2) separation flavonoids from saponin by MWCO 1000 Da, ultrasonic power 300 W and pH 7.9. The difficulty in separating saponin from flavonoids was solved by releasing flavonoids from micelles with ultrasonic assisted membrane method. The saponin content in Gynostemma pentaphyllum extracts reached 82.81%, which was more than four times of that obtained with resin adsorption method. The protective effect of saponins on SH-SY5Y cells injury induced by H2O2 was better than that of Gynostemma pentaphyllum extracts. The study suggested that ultrasonic assisted membrane method would be widely applied in the preparation of food materials.
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Affiliation(s)
- Cunyu Li
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023 People’s Republic of China
- Jiangsu Collaborative Innovation Centers of Chinese Medicinal Resources Industrialization, Nanjing, 210023 People’s Republic of China
- Jiangsu Engineering Research Centers of Classical Prescription, Nanjing, 210023 People’s Republic of China
| | - Yun Ma
- The Fourth People’s Hospital of Taizhou City, Taizhou, 225300 People’s Republic of China
| | - Xinglei Zhi
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023 People’s Republic of China
- Jiangsu Collaborative Innovation Centers of Chinese Medicinal Resources Industrialization, Nanjing, 210023 People’s Republic of China
| | - Guoping Peng
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023 People’s Republic of China
- Jiangsu Collaborative Innovation Centers of Chinese Medicinal Resources Industrialization, Nanjing, 210023 People’s Republic of China
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Lai Quoc D, Doan Ngoc Thuc T, Nguyen Hoang D. Flux decline and fouling analysis in reverse osmosis of watermelon juice. J FOOD PROCESS ENG 2022. [DOI: 10.1111/jfpe.14183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Dat Lai Quoc
- Department of Food Technology, Faculty of Chemical Engineering Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam
| | - Trinh Doan Ngoc Thuc
- Department of Food Technology, Faculty of Chemical Engineering Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam
| | - Dung Nguyen Hoang
- Department of Food Technology, Faculty of Chemical Engineering Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam
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Filtration of subcritical water hydrolysates from red macroalgae byproducts with ultraporous ceramic membranes for oligosaccharide and peptide fractionation. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2022.120822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Sustainable Modification of Polyethersulfone Membrane with Poly(Maleic Anhydride-Co-Glycerol) as Novel Copolymer. WATER 2022. [DOI: 10.3390/w14081207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This work presented an endeavour to fabricate sustainable and eco-friendly polyethersulfone (PES) ultrafiltration membranes. A novel and graft copolymer (Poly(Maleic Anhydride-Co-Glycerol)) (PMG) have been synthesized via a facile and rapid route to impart their hydrophilic features onto the final PES membrane. A series of characterization tools, for both nanoadditives and nanocomposite membranes, have been harnessed to confirm their successful fabrication processes. These include Fourier Transform Infrared Spectroscopy (FT-IR), scanning electron microscopy (SEM), Atomic Force Microscopy (AFM), and contact angle measurements (CA). Results disclosed the successful synthesis of PMG nanoparticles that manifested a smooth homogenous surface with an average molecular size of 88.07 nm. The nanocomposite membrane structure has witnessed a gradual development upon each increment in the nanoparticle content ratio along with relatively thicker pore walls. The size and shape of figure-like micropores exhibited critical visible structural changes following the nanoadditive incorporation into the PES polymeric matrix. For the nanocomposite membrane, the SEM imaging indicated that a thicker active layer and less finger-like micropores were formed at higher PMG NP content within the membrane matrix. Hydrophilicity measurements disclosed a reversible correlation with the NP content where the CA angle value was at a minimum at the higher PMG loading content. Compared to the pristine membrane, a considerable enhancement in the performance of the modified membranes was witnessed. The membrane prepared using 2.5 g PMGNPs showcased six times higher pure water flux than neat PES membrane and maintained the highest retention (98%) against BSA protein solution. Additionally, the nanocomposite revealed promising antifouling and self-cleaning characteristics.
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Xu T, Song J, Xiu G. Study on the cross-flow ultrafiltration of mixtures of macromolecular organic and inorganic salts. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2022; 85:1754-1764. [PMID: 35358069 DOI: 10.2166/wst.2022.066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Ultrafiltration (UF) has been widely applied to water treatment in the past few decades, but severe membrane fouling is one of the most significant obstacles for its further development. In reality, the constituents of feed water are complex, and the fouling behavior could be different from that induced by a single foulant. In this study, the membrane fouling induced by mixed organic foulant (sodium alginate, SA) and inorganic ions under various conditions were investigated. The effects of ion concentration and valence on the combined fouling as well as the rejection performance were examined. The results showed that compared to SA alone, the presence of inorganic ions could aggravate the organic fouling of UF membranes significantly. The fouling became more severe as the ion concentration increased. Also, ions with higher valence tended to exacerbate the fouling compared with monovalent ions. It was also found that the existence of inorganic ions had negligible effects on the rejection of organic molecules, however, the rejection of salts can be improved because of the organic matter. In addition, the analysis of the classic fouling models showed that the complete blocking model is the main fouling mechanism of the mixed SA and inorganic salts.
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Affiliation(s)
- Tingting Xu
- Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China E-mail: ; State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Jie Song
- Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China E-mail: ; State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Guangli Xiu
- Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China E-mail: ; State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
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Lai QD, Nguyen HD. Enhancement of fish sauce quality by application of nanofiltration. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.112181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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