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Martinez-Alesón García P, García-Balboa C, López-Rodas V, Costas E, Baselga-Cervera B. Settling selection of Chlamydomonas reinhardtii for samarium uptake. JOURNAL OF PHYCOLOGY 2024; 60:755-767. [PMID: 38738959 DOI: 10.1111/jpy.13461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 03/07/2024] [Accepted: 04/06/2024] [Indexed: 05/14/2024]
Abstract
Samarium (Sm) is a rare-earth element recently included in the list of critical elements due to its vital role in emerging new technologies. With an increasing demand for Sm, microbial bioremediation may provide a cost-effective and a more ecologically responsible alternative to remove and recover Sm. We capitalized on a previously selected Chlamydomonas reinhardtii strain tolerant to Sm (1.33 × 10-4 M) and acidic pH and carried out settling selection to increase the Sm uptake performance. We observed a rapid response to selection in terms of cellular phenotype. Cellular size decreased and circularity increased in a stepwise manner with every cycle of selection. After four cycles of selection, the derived CSm4 strain was significantly smaller and was capable of sequestrating 41% more Sm per cell (1.7 × 10-05 ± 1.7 × 10-06 ng) and twice as much Sm in terms of wet biomass (4.0 ± 0.4 mg Sm · g-1) compared to the ancestral candidate strain. The majority (~70%) of the Sm was bioaccumulated intracellularly, near acidocalcisomes or autophagic vacuoles as per TEM-EDX microanalyses. However, Sm analyses suggest a stronger response toward bioabsorption resulting from settling selection. Despite working with Sm and pH-tolerant strains, we observed an effect on fitness and photosynthesis inhibition when the strains were grown with Sm. Our results clearly show that phenotypic selection, such as settling selection, can significantly enhance Sm uptake. Laboratory selection of microalgae for rare-earth metal bioaccumulation and sorption can be a promising biotechnological approach.
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Affiliation(s)
- Paloma Martinez-Alesón García
- Pharmaceutical and Health Sciences Department, Faculty of Pharmacy, University San Pablo CEU, Madrid, Spain
- Animal Science (Genetics), School of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain
| | - Camino García-Balboa
- Animal Science (Genetics), School of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain
| | - Victoria López-Rodas
- Animal Science (Genetics), School of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain
| | - Eduardo Costas
- Animal Science (Genetics), School of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain
| | - Beatriz Baselga-Cervera
- Ecology, Evolution and Behavior Department, University of Minnesota, St. Paul, Minnesota, USA
- Minnesota Center for Philosophy of Science, University of Minnesota, Minneapolis, Minnesota, USA
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2
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Liu B, Shi W. An Explicit-Correction-Force Scheme of IB-LBM Based on Interpolated Particle Distribution Function. ENTROPY (BASEL, SWITZERLAND) 2023; 25:526. [PMID: 36981414 PMCID: PMC10048480 DOI: 10.3390/e25030526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/09/2023] [Accepted: 03/16/2023] [Indexed: 06/18/2023]
Abstract
In order to obtain a better numerical simulation method for fluid-structure interaction (FSI), the IB-LBM combining the lattice Boltzmann method (LBM) and immersed boundary method (IBM) has been studied more than a decade. For this purpose, an explicit correction force scheme of IB-LBM was proposed in this paper. Different from the current IB-LBMs, this paper introduced the particle distribution function to the interpolation process from the fluid grids to the immersed boundary at the mesoscopic level and directly applied the LBM force models to obtain the interface force with a simple form and explicit process. Then, in order to ensure the mass conservation in the local area of the interface, this paper corrected the obtained interface force with the correction matrix, forming the total explicit-correction-force (ECP) scheme of IB-LBM. The results of four numerical tests were used to verify the order of accuracy and effectiveness of the present method. The streamline penetration is limited and the numerical simulation with certain application significance is successful for complex boundary conditions such as the movable rigid bodies (free oscillation of the flapping foil) and flexible deformable bodies (free deformation of cylinders). In summary, we obtained a simple and alternative simulation method that can achieve good simulation results for engineering reference models with complex boundary problems.
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Sharma G, Nangia N, Bhalla APS, Ray B. A coupled distributed Lagrange multiplier (DLM) and discrete element method (DEM) approach to simulate particulate flow with collisions. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.117091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Pontrelli G, Carr EJ, Tiribocchi A, Succi S. Modeling drug delivery from multiple emulsions. Phys Rev E 2020; 102:023114. [PMID: 32942448 DOI: 10.1103/physreve.102.023114] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 07/30/2020] [Indexed: 06/11/2023]
Abstract
We present a mechanistic model of drug release from a multiple emulsion into an external surrounding fluid. We consider a single multilayer droplet where the drug kinetics are described by a pure diffusive process through different liquid shells. The multilayer problem is described by a system of diffusion equations coupled via interlayer conditions imposing continuity of drug concentration and flux. Mass resistance is imposed at the outer boundary through the application of a surfactant at the external surface of the droplet. The two-dimensional problem is solved numerically by finite volume discretization. Concentration profiles and drug release curves are presented for three typical round-shaped (circle, ellipse, and bullet) droplets and the dependency of the solution on the mass transfer coefficient at the surface analyzed. The main result shows a reduced release time for an increased elongation of the droplets.
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Affiliation(s)
- G Pontrelli
- Istituto per le Applicazioni del Calcolo, CNR, Via dei Taurini 19, 00185 Rome, Italy
| | - E J Carr
- School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia
| | - A Tiribocchi
- Istituto per le Applicazioni del Calcolo, CNR, Via dei Taurini 19, 00185 Rome, Italy
- Italian Institute of Technology, CNLS@Sapienza, Rome, Italy
| | - S Succi
- Istituto per le Applicazioni del Calcolo, CNR, Via dei Taurini 19, 00185 Rome, Italy
- Italian Institute of Technology, CNLS@Sapienza, Rome, Italy
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Razavi Bazaz S, Mashhadian A, Ehsani A, Saha SC, Krüger T, Ebrahimi Warkiani M. Computational inertial microfluidics: a review. LAB ON A CHIP 2020; 20:1023-1048. [PMID: 32067001 DOI: 10.1039/c9lc01022j] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Since the discovery of inertial focusing in 1961, numerous theories have been put forward to explain the migration of particles in inertial flows, but a complete understanding is still lacking. Recently, computational approaches have been utilized to obtain better insights into the underlying physics. In particular, fundamental aspects of particle focusing inside straight and curved microchannels have been explored in detail to determine the dependence of focusing behavior on particle size, channel shape, and flow Reynolds number. In this review, we differentiate between the models developed for inertial particle motion on the basis of whether they are semi-analytical, Navier-Stokes-based, or built on the lattice Boltzmann method. This review provides a blueprint for the consideration of numerical solutions for modeling of inertial particle motion, whether deformable or rigid, spherical or non-spherical, and whether suspended in Newtonian or non-Newtonian fluids. In each section, we provide the general equations used to solve particle motion, followed by a tutorial appendix and specified sections to engage the reader with details of the numerical studies. Finally, we address the challenges ahead in the modeling of inertial particle microfluidics for future investigators.
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Affiliation(s)
- Sajad Razavi Bazaz
- School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia.
| | - Ali Mashhadian
- School of Mechanical Engineering, Sharif University, Tehran, Iran
| | - Abbas Ehsani
- School of Mechanical Engineering, University of Tehran, Tehran, Iran
| | - Suvash Chandra Saha
- School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Timm Krüger
- School of Engineering, Institute for Multiscale Thermofluids, The University of Edinburgh, Edinburgh EH9 3FB, UK
| | - Majid Ebrahimi Warkiani
- School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia. and Institute of Molecular Medicine, Sechenov First Moscow State University, Moscow 119991, Russia
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Dey S, Zeeshan Ali S, Padhi E. Terminal fall velocity: the legacy of Stokes from the perspective of fluvial hydraulics. Proc Math Phys Eng Sci 2019; 475:20190277. [PMID: 31534429 DOI: 10.1098/rspa.2019.0277] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 08/02/2019] [Indexed: 11/12/2022] Open
Abstract
This review article, dedicated to the bicentenary celebration of Sir George Gabriel Stokes' birthday, presents the state-of-the-science of terminal fall velocity, highlighting his rich legacy from the perspective of fluvial hydraulics. It summarizes the fluid drag on a particle and the current status of the drag coefficient from both the theoretical and empirical formulations, highlighting the three major realms-Stokesian, transitional and Newtonian realms. The force system that drives the particle motion falling through a fluid is described. The response of terminal fall velocity to key factors, which include particle shape, hindered settling and turbulence (nonlinear drag, vortex trapping, fast tracking and effects of loitering), is delineated. The article puts into focus the impact of terminal fall velocity on fluvial hydraulics, discussing the salient role that the terminal fall velocity plays in governing the hydrodynamics of the sediment threshold, bedload transport and suspended load transport. Finally, an innovative perspective is presented on the subject's future research track, emphasizing open questions.
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Affiliation(s)
- Subhasish Dey
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.,Physics and Applied Mathematics Unit, Indian Statistical Institute, Kolkata, West Bengal 700108, India.,Department of Hydraulic Engineering, State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing 100084, People's Republic of China
| | - Sk Zeeshan Ali
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
| | - Ellora Padhi
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
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King D, Başağaoğlu H, Nguyen H, Healy F, Whitman M, Succi S. Effects of Advective-Diffusive Transport of Multiple Chemoattractants on Motility of Engineered Chemosensory Particles in Fluidic Environments. ENTROPY 2019; 21:e21050465. [PMID: 33267179 PMCID: PMC7514954 DOI: 10.3390/e21050465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 11/25/2022]
Abstract
Motility behavior of an engineered chemosensory particle (ECP) in fluidic environments is driven by its responses to chemical stimuli. One of the challenges to understanding such behaviors lies in tracking changes in chemical signal gradients of chemoattractants and ECP-fluid dynamics as the fluid is continuously disturbed by ECP motion. To address this challenge, we introduce a new multiscale numerical model to simulate chemotactic swimming of an ECP in confined fluidic environments by accounting for motility-induced disturbances in spatiotemporal chemoattractant distributions. The model accommodates advective-diffusive transport of unmixed chemoattractants, ECP-fluid hydrodynamics at the ECP-fluid interface, and spatiotemporal disturbances in the chemoattractant concentrations due to particle motion. Demonstrative simulations are presented with an ECP, mimicking Escherichia coli (E. coli) chemotaxis, released into initially quiescent fluids with different source configurations of the chemoattractants N-methyl-L-aspartate and L-serine. Simulations demonstrate that initial distributions and temporal evolution of chemoattractants and their release modes (instantaneous vs. continuous, point source vs. distributed) dictate time histories of chemotactic motility of an ECP. Chemotactic motility is shown to be largely determined by spatiotemporal variation in chemoattractant concentration gradients due to transient disturbances imposed by ECP-fluid hydrodynamics, an observation not captured in previous numerical studies that relied on static chemoattractant concentration fields.
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Affiliation(s)
- Danielle King
- Department of Mathematics, The University of Texas, Austin, TX 78712-1202, USA
- Correspondence:
| | - Hakan Başağaoğlu
- Mechanical Engineering Division, Southwest Research Institute, San Antonio, TX 78238-5166, USA
| | - Hoa Nguyen
- Department of Mathematics, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA
| | - Frank Healy
- Department of Biology, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA
| | - Melissa Whitman
- Department of Biology, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA
| | - Sauro Succi
- Fondazione Istituto Italiano di Tecnologia, Center for Life Nanoscience at la Sapienza, vle Regina Margherita, 00165 Rome, Italy
- Istituto Applicazioni del Calcolo, Via dei Taurini 19, 00185 Roma, Italy
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Fu P, Jiang X, Ma L, Yang Q, Bai Z, Yang X, Chen J, Yuan W, Wang H, Lv W. Enhancement of PM 2.5 Cyclone Separation by Droplet Capture and Particle Sorting. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:11652-11659. [PMID: 30207706 DOI: 10.1021/acs.est.8b03921] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Fine particulate matter (PM2.5) is one of the most serious environmental pollutants worldwide, and efficient separation technologies are crucial to the control of PM2.5 emission from industrial sources. We developed a novel method to enhance PM2.5 cyclone separation by droplet capture and particle sorting using a vertical reverse rotation cyclone (VRR-C, inlet particle-sorting cyclone). The separation performances of common cyclone (CM-C) without droplets, CM-C with droplets, and VRR-C with droplets were compared in terms of energy consumption, overall separation efficiency, particle grade efficiency, outlet particle concentration, and outlet particle size distribution. The results show that the highest overall separation efficiencies were 51.7%, 89.9%, and 94.5% for CM-C without droplets, CM-C with droplets, and VRR-C with droplets, respectively, when the mean diameter of the inlet particles was 3.2 μm and the inlet particle concentration was 500 mg/m3. The PM2.5 grade efficiency of VRR-C with droplets was as high as 89.8%, which was 6.2% and 49.9% higher than those of CM-C with droplets and CM-C without droplets, respectively. This novel method was first successfully applied to the deep purification of product gas in the methanol-to-olefin (MTO) industry, for which the separation efficiency of fine catalyst particles was considerably improved.
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Affiliation(s)
- Pengbo Fu
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Xia Jiang
- National Engineering Research Center for Flue Gas Desulfurization , Sichuan University , Chengdu 610065 , People's Republic of China
| | - Liang Ma
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Qiang Yang
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Zhishan Bai
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Xuejing Yang
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Jianqi Chen
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Wei Yuan
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Hualin Wang
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
| | - Wenjie Lv
- National Engineering Laboratory for Industrial Wastewater Treatment , East China University of Science and Technology , Shanghai 200237 , People's Republic of China
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Behdani B, Monjezi S, Carey MJ, Weldon CG, Zhang J, Wang C, Park J. Shape-based separation of micro-/nanoparticles in liquid phases. BIOMICROFLUIDICS 2018; 12:051503. [PMID: 30405868 PMCID: PMC6207070 DOI: 10.1063/1.5052171] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/09/2018] [Indexed: 05/03/2023]
Abstract
The production of particles with shape-specific properties is reliant upon the separation of micro-/nanoparticles of particular shapes from particle mixtures of similar volumes. However, compared to a large number of size-based particle separation methods, shape-based separation methods have not been adequately explored. We review various up-to-date approaches to shape-based separation of rigid micro-/nanoparticles in liquid phases including size exclusion chromatography, field flow fractionation, deterministic lateral displacement, inertial focusing, electrophoresis, magnetophoresis, self-assembly precipitation, and centrifugation. We discuss separation mechanisms by classifying them as either changes in surface interactions or extensions of size-based separation. The latter includes geometric restrictions and shape-dependent transport properties.
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Affiliation(s)
- Behrouz Behdani
- Chemical and Biochemical Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Saman Monjezi
- Chemical and Biochemical Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Mason J. Carey
- Chemical and Biochemical Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Curtis G. Weldon
- Chemical and Biochemical Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Jie Zhang
- Mechanical and Aerospace Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Cheng Wang
- Mechanical and Aerospace Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
| | - Joontaek Park
- Chemical and Biochemical Engineering Department, Missouri University of Science and Technology, Rolla, Missouri 65409, USA
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