Predicting the filtration of noncoagulating particles in depth filters

Putnam, David D.; Burns, Mark A.

doi:10.1016/s0009-2509(96)00367-3

Cited by 19 publications

(16 citation statements)

References 35 publications

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“…As described earlier (Putnam and Burns, 1997), the model consists of differential mass balances on the bed and fluid phase coupled by an adsorption rate expression. These equations must now be written for each cell population.…”

Section: Theoretical Modelmentioning

confidence: 99%

“…Dispersive terms in the mass balances are neglected since stabilization eliminates support-particle mixing. Studies using typical experimental conditions have shown that liquid dispersion has a negligible effect on bed performance when the Peclet number is greater than 100 (Putnam and Burns, 1997).…”

Section: Theoretical Modelmentioning

confidence: 99%

“…The adsorption rate expression for each cell population couples the two mass balance equations (Putnam and Burns, 1997) and is given by…”

Section: Theoretical Modelmentioning

confidence: 99%

“…0 is referred to in the depth filtration literature as the initial collection efficiency (Putnam and Burns, 1997). i is the fraction of the support area occupied by a given population (assuming monolayer coverage), and ␤ i is a shadowing rate exponent for that population: …”

Section: Theoretical Modelmentioning

confidence: 99%

“…The affinity support in the MSFB is a non-porous magnetite (Fe 3 O 4 ) with surfacebound lectin. Adapting our recent model for cell removal in packed bed depth filters (Putnam and Burns, 1997), we have quantified the binding behavior of these cell populations and used the model to explore the effect of several experimental and model parameters on the processing capacity and selectivity of the system.…”

Section: Introductionmentioning

confidence: 99%

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Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Putnam

Namasivayam

Burns

2003

Biotech & Bioengineering

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A magnetically stabilized fluidized bed is used to separate erythrocyte subpopulations. Binding specificity was obtained by immobilizing the lectin Helix pomatia Agglutinin (HpA) or Griffonia simplicifolia I (GSI) onto a magnetite-containing support. Separation of type A and type O erythrocytes with the lectin HpA was particularly effective, leading to a 94% purity of retained type A erythrocytes. A 3.1 +/- 0.6 log removal of type A erythrocytes was also accomplished leading to a 99.7% +/- 0.4% purity and 95% +/- 7% yield of type O erythrocytes in the collected effluent. Elution of the purified cells was accomplished using fluidization in the presence of a sugar competing for the lectin-erythrocyte binding site. A mathematical model based on the depth filtration model of Putnam and Burns (Chem Eng Sci 1997;52(1):93-105) was extended to include multicomponent cell adhesion. This filtration model is the first to take into account the finite binding capacity of the chromatographic support and is used to characterize the cell binding behavior and to determine optimal parameters and conditions that lead to high capacities and selectivities. Model parameter values and observations from in situ adsorption studies suggest that the non-spherical shape of the magnetite-based support allows for a more efficient utilization of the support surface area than the spherical shape. Using a 1.5-cm diameter laboratory column and realistic parameter values, the processing rates of the system are predicted to be at least an order of magnitude greater than the 10(8)/h cells that can typically be processed in packed bed cell affinity chromatography (CAC) systems.

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Section: Theoretical Modelmentioning

confidence: 99%

Section: Theoretical Modelmentioning

confidence: 99%

“…The adsorption rate expression for each cell population couples the two mass balance equations (Putnam and Burns, 1997) and is given by…”

Section: Theoretical Modelmentioning

confidence: 99%

Section: Theoretical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Putnam

Namasivayam

Burns

2003

Biotech & Bioengineering

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Simulation of the dynamics of depth filtration of non‐Brownian particles

Burganos¹,

Skouras²,

Paraskeva³

et al. 2001

AIChE Journal

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Enhancing the Sustainability of Household Fe⁰/Sand Filters by Using Bimetallics and MnO₂

Noubactep¹,

Caré

Btatkeu

et al. 2011

CLEAN Soil Air Water

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Filtration systems containing metallic iron as reactive medium (Fe0 beds) have been intensively used for water treatment during the last two decades. The sustainability of Fe0 beds is severely confined by two major factors: (i) reactivity loss as result of the formation of an oxide scale on Fe0 and (ii) permeability loss due to pore filling by generated iron corrosion products. Both factors are inherent to iron corrosion at pH > 4.5 and are common during the lifespan of a Fe0 bed. It is of great practical significance to improve the performance of Fe0 beds by properly addressing these key factors. Recent studies have shown that both reactivity loss and permeability loss could be addressed by mixing Fe0 and inert materials. For a non‐porous additive like quartz, the threshold value for the Fe0 volumetric proportion is 51%. Using the Fe0/quartz system as reference, this study theoretically discusses the possibility of (i) replacing Fe0 by bimetallic systems (e.g., Fe0/Cu0), or (ii) partially replacing quartz by a reactive metal oxide (MnO2 or TiO2) to improve the efficiency of Fe0 beds. Results confirmed the suitability of both tools for sustaining Fe0 bed performance. It is shown that using a Fe0:MnO2 system with the volumetric proportion 51:49 will yield a filter with 40% residual porosity at Fe0 depletion (MnO2 porosity 62%). This study improves Fe0 bed design and can be considered as a basis for further refinement and detailed research for efficient Fe0 filters.

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Predicting the filtration of noncoagulating particles in depth filters

Cited by 19 publications

References 35 publications

Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Simulation of the dynamics of depth filtration of non‐Brownian particles

Enhancing the Sustainability of Household Fe⁰/Sand Filters by Using Bimetallics and MnO₂

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Predicting the filtration of noncoagulating particles in depth filters

Cited by 19 publications

References 35 publications

Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Cell affinity separations using magnetically stabilized fluidized beds: Erythrocyte subpopulation fractionation utilizing a lectin‐magnetite support

Simulation of the dynamics of depth filtration of non‐Brownian particles

Enhancing the Sustainability of Household Fe0/Sand Filters by Using Bimetallics and MnO2

Contact Info

Product

Resources

About

Enhancing the Sustainability of Household Fe⁰/Sand Filters by Using Bimetallics and MnO₂