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Deep Study on Fouling Modelling of Ultrafiltration Membranes Used for OMW Treatment: Comparison Between Semi-empirical Models, Response Surface, and Artificial Neural Networks. FOOD BIOPROCESS TECH 2023. [DOI: 10.1007/s11947-023-03033-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
AbstractOlive oil production generates a large amount of wastewater called olive mill wastewater. This paper presents the study of the effect of transmembrane pressure and cross flow velocity on the decrease in permeate flux of different ultrafiltration membranes (material and pore size) when treating a two-phase olive mill wastewater (olive oil washing wastewater). Both semi-empirical models (Hermia models adapted to tangential filtration, combined model, and series resistance model), as well as statistical and machine learning methods (response surface methodology and artificial neural networks), were studied. Regarding the Hermia model, despite the good fit, the main drawback is that it does not consider the possibility that these mechanisms occur simultaneously in the same process. According to the accuracy of the fit of the models, in terms of R2 and SD, both the series resistance model and the combined model were able to represent the experimental data well. This indicates that both cake layer formation and pore blockage contributed to membrane fouling. The inorganic membranes showed a greater tendency to irreversible fouling, with higher values of the Ra/RT (adsorption/total resistance) ratio. Response surface methodology ANOVA showed that both cross flow velocity and transmembrane pressure are significant variables with respect to permeate flux for all membranes studied. Regarding artificial neural networks, the tansig function presented better results than the selu function, all presenting high R2, ranging from 0.96 to 0.99. However, the comparison of all the analyzed models showed that depending on the membrane, one model fits better than the others. Finally, through this work, it was possible to provide a better understanding of the data modelling of different ultrafiltration membranes used for the treatment of olive mill wastewater.
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Ye Y, Han Q, Zhao C, Ke W, Qiu M, Chen X, Fan Y. Improved negative charge of tight ceramic ultrafiltration membranes for protein-resistant and easy-cleaning performance. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2022.123082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Krishnan S, Nasrullah M, Kamyab H, Suzana N, Munaim MSA, Wahid ZA, Ali IH, Salehi R, Chaiprapat S. Fouling characteristics and cleaning approach of ultrafiltration membrane during xylose reductase separation. Bioprocess Biosyst Eng 2022; 45:1125-1136. [PMID: 35469027 DOI: 10.1007/s00449-022-02726-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 04/01/2022] [Indexed: 11/28/2022]
Abstract
Many operating parameters of ultrafiltration (UF) are playing a crucial role when using a polyethersulfone membrane to separate xylose reductase (XR) enzyme from reaction mixtures during xylitol synthesis. The present study focuses on the separation of XR enzyme using a cross-flow ultrafiltration (UF) membrane. The filtration process was analyzed using the three effective variables such as filtration time, cross-flow velocity (CFV), and the transmembrane pressure (TMP), which were ranging from 0 to 100 min, 0.52 to 1.2 cm/s and 1-1.6 bar, respectively. Then, using the resistance in series model, the hydraulic resistance for alkali chemical cleaning during XR separation was estimated. During separation, increased TMP showed a positive-flux effect as a driving force, however, fouling and polarized layer were more prominent under higher TMP. Increased CFV, on the other hand, was found more efficient in fouling control. In terms of the membrane cleaning techniques, an alkaline solution containing 0.1 M sodium hydroxide was shown to be the most effective substance in removing foulants from the membrane surface in this investigation. Cleaning with an alkaline solution resulted in a maximum flux recovery of 93% for xylose reductase separation. This work may serve as a useful guide to better understand the optimization parameters during XR separation and alleviating UF membrane fouling induced during XR separation.
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Affiliation(s)
- Santhana Krishnan
- Department of Civil and Environmental Engineering, Faculty of Engineering, PSU Energy Systems Research Institute (PERIN), Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Mohd Nasrullah
- Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Gambang, Malaysia
| | - Hesam Kamyab
- Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia.,Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India
| | - Noor Suzana
- Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Gambang, Malaysia
| | | | - Zularisam Ab Wahid
- Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Gambang, Malaysia
| | - Ismat H Ali
- Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha, 61413, Saudi Arabia
| | - Reza Salehi
- Department of Civil and Environmental Engineering, Faculty of Engineering, PSU Energy Systems Research Institute (PERIN), Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Sumate Chaiprapat
- Department of Civil and Environmental Engineering, Faculty of Engineering, PSU Energy Systems Research Institute (PERIN), Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
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Maguire NAP, Ebrahimi M, Fan R, Gießelmann S, Ehlen F, Schütz S, Czermak P. Influence of Ceramic Membrane Surface Characteristics on the Flux Behavior of a Complex Fermentation Broth. MEMBRANES 2021; 11:402. [PMID: 34071382 PMCID: PMC8229547 DOI: 10.3390/membranes11060402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 11/16/2022]
Abstract
The valorization of agro-industrial residues using yeasts as biocatalysts requires efficient methods for biomass separation. Filtration with ceramic membranes is suitable for this task, however, the challenge of flux decline and the unavoidable cleaning must be taken into account. We investigated the filtration of fermentation broth and its components using tubular microfiltration and ultrafiltration membranes, and hollow-fiber ultrafiltration membranes, with cut-offs of 30 and 200 nm. The steady-state flux was limited by fouling under comparable wall shear stress conditions but increased when the wall shear stress was higher. Single-component filtration with two 30 nm tubular ultrafiltration membranes, whose average surface roughness ranged from 1.0 to 3.9 µm, showed that smoother surfaces experience less biomass fouling under more intense hydrodynamic conditions. Furthermore, we showed experimentally and by scanning electron microscopy in filtration with 30 nm tubular membranes that the thickness of the first separation layer is responsible for the degree of irreversible resistance caused by the deposition of organic material in the membrane pores. The thickness of this layer should therefore be minimized without compromising mechanical stability.
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Affiliation(s)
- Nicolas A. P. Maguire
- Institute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, 35390 Giessen, Germany; (N.A.P.M.); (M.E.)
- Fraunhofer Institute for Molecular Biology and Applied Ecology (IME), Project Group Bioresources, 35392 Giessen, Germany
- Faculty of Biology and Chemistry, Justus-Liebig University of Giessen, 35390 Giessen, Germany
| | - Mehrdad Ebrahimi
- Institute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, 35390 Giessen, Germany; (N.A.P.M.); (M.E.)
| | - Rong Fan
- Institute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, 35390 Giessen, Germany; (N.A.P.M.); (M.E.)
- Fraunhofer Institute for Molecular Biology and Applied Ecology (IME), Project Group Bioresources, 35392 Giessen, Germany
| | - Sabine Gießelmann
- MANN+HUMMEL GmbH, 71636 Ludwigsburg, Germany; (S.G.); (F.E.); (S.S.)
| | - Frank Ehlen
- MANN+HUMMEL GmbH, 71636 Ludwigsburg, Germany; (S.G.); (F.E.); (S.S.)
| | - Steffen Schütz
- MANN+HUMMEL GmbH, 71636 Ludwigsburg, Germany; (S.G.); (F.E.); (S.S.)
| | - Peter Czermak
- Institute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, 35390 Giessen, Germany; (N.A.P.M.); (M.E.)
- Fraunhofer Institute for Molecular Biology and Applied Ecology (IME), Project Group Bioresources, 35392 Giessen, Germany
- Faculty of Biology and Chemistry, Justus-Liebig University of Giessen, 35390 Giessen, Germany
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