Predicting performance of constant flow depth filtration using constant pressure filtration data

Goldrick, Stephen; Joseph, Adrian; Mollet, Mike; Turner, Richard; Gruber, David; Farid, Suzanne S.; Titchener‐Hooker, Nigel J.

doi:10.1016/j.memsci.2017.03.002

Cited by 27 publications

(17 citation statements)

References 19 publications

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“…Under constant flow, pressure drop builds up across the filter to maintain the flow as fouling occurs over time (Goldrick et al, 2017 ). However, during constant pressure operations, flux decreases gradually as the filter fouls (Goldrick et al, 2017 ) and initial high flux in constant pressure mode can result in severe fouling in processes with suspended particles. High flux at the beginning of filtration causes much faster deposition of particles on the membrane surface than are back transported, resulting in faster particle deposition than in constant flow rate mode (Yoon, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

“…The medium can be modified with a cationic polymer adsorbing the common negatively charged dissolved contaminants significantly smaller than the average pore size. However, depth filtration analysis reported in literature has mostly focused on the modeling of membrane separations (Polyakov, 2008 , 2009 ; Sutherland, 2011 ; Kuhn and Briesen, 2016 ; Bedrikovetsky et al, 2017 ; Goldrick et al, 2017 ); there is a lack of experimental studies optimizing depth type filter operation especially in terms of membrane structure.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, these processes can be controlled under modes of constant pressure or constant flow rate. In either case, the non-constant parameter is being monitored, and the extent of filter fouling or clogging is assessed by the recorded parameters (Iritani et al, 2015 ; Goldrick et al, 2017 ). Filtration performance can also be altered by modifying the structure and configuration of filters.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Layer Filters: Adsorption and Filtration Mechanisms for Improved Separation

Onur

Ng²,

Batchelor

et al. 2018

Front. Chem.

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Filters made of cellulose fiber and perlite particles were prepared using a wet laying papermaking technique. Polyamide-amine-epichlorohydrin (PAE) was added to provide wet strength. Filters were prepared at two different total basis weights of 200 and 400 grams per square meter (gsm). Single and multi-layered filters were structured for each total basis weights. The effect of total basis weights and multi-layered structure on methylene blue adsorption and silicon dioxide (SiO2) particle filtration was investigated. Methylene blue adsorption was performed in two modes: constant pressure and constant flow rate. In both operation modes, the adsorption capacity of multi-layered filters was significantly higher (16–100%) than for single-layer filters at the same overall weight. The effect of layer separation was also characterized using polypropylene separators and tested under constant flow rate operation. Separators provided more effective methylene blue adsorption by generating a well-distributed flow. Filtration performance was quantified with 0.5 μm silicon dioxide particles under constant pressure conditions; this is to mimic bacteria rejection. Filtration capability of SiO2 particles was reduced slightly (12%) with decreasing individual filter layer thickness regardless of the multi-layered structure. Filtering polyethylene glycol (PEG) molecules with two different molecular weights was performed; however, no rejection was recorded. The filter internal pore structure was visualized by 3D-X ray computed tomography and the void fraction was quantified. 400 gsm single layer presented areas of low fiber density forming pores, while the pore volume decreased for thinner filter layers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Layer Filters: Adsorption and Filtration Mechanisms for Improved Separation

Onur

Ng²,

Batchelor

et al. 2018

Front. Chem.

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“…The value of K s is dependent on the particle concentration, particle size, and packing porosity of the particle layer. The filtration behavior during depth filtration of protein solutions such as centrates (supernatants after centrifugation) of CHO cell broths have been reported to follow the standard blocking model (Goldrick et al, 2017). The following two equations are derived from Eq.…”

Section: Filtration Behavior Of Bacterial Cell Suspensionsmentioning

confidence: 99%

Poly(L-lactic acid) Depth Filter Membrane Prepared by Nonsolvent-Induced Phase Separation with the Aid of a Nonionic Surfactant

Minbu

Mizuno

Shibuya

et al. 2019

J. Chem. Eng. Japan / JCEJ

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Poly(L-lactic acid) (PLLA) membranes prepared via a nonsolvent-induced phase separation method with a nonionic surfactant (Tween 80) have been applied as depth lters in the ltration of bacterial cell suspensions and mammalian cell broths. Finger-like pores captured the cells inside the membrane, avoiding the formation of a dense cell cake on the membrane surface. The ltration rate of lactic acid bacterial cell suspensions increased 4-5 times during depth ltration compared to that observed during screen ltration with a smooth surface. During depth ltration, the connected cellular structure as well as the nger-like pores captured the bacterial cells. The plots of the reciprocal of permeation ux vs. the permeate volume per unit ltration area suggest that capturing the bacterial cells in the pores resulted in reduced blocking constants during depth ltration compared to screen ltration. During the ltration of CHO cell broths, the cells were captured in the nger-like pores of the PLLA depth lter and on the screen lter membranes of cellulose acetate. The permeation ux was sustained at high levels for longer durations during depth ltration compared to screen ltration, although the initial ux was lower than that in screen ltration. The PLLA depth lter will be useful as a pre lter in the ltration of suspensions of compressible bacterial and mammalian cells.

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“…Some examples of applications that employ a constant flow rate are the air filters used in vacuum cleaners and air-conditioning systems (Fisk et al, 2002). Filtration regimes in which a constant pressure drop is applied occur in pharmaceutical and biotechnology industries, see, for example, Chen et al (2015); Goldrick et al (2017). One of the aims of this work is to discuss the mathematical modelling and to investigate numerically different transport mechanisms and set-ups.…”

Section: Introductionmentioning

confidence: 99%

The influence of porous-medium microstructure on filtration

2018

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We investigate how a filter media microstructure influences filtration performance. We derive a theory that generalizes classical multiscale models for regular structures to account for filter media with more realistic microstructures, comprising random microstructures with polydisperse unidirectional fibres. Our multiscale model accounts for the fluid flow and contaminant transport at the microscale (over which the media structure is fully resolved) and allows us to obtain macroscopic properties such as the effective permeability, diffusivity, and fibre surface area. As the fibres grow due to contaminant adsorption this leads to contact of neighbouring fibres. We propose an agglomeration algorithm that describes the resulting behaviour of the fibres upon contact, allowing us to explore the subsequent time evolution of the filter media in a simple and robust way. We perform a comprehensive investigation of the influence of the filter-media microstructure on filter performance in a spectrum of possible filtration scenarios.

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Predicting performance of constant flow depth filtration using constant pressure filtration data

Cited by 27 publications

References 19 publications

Multi-Layer Filters: Adsorption and Filtration Mechanisms for Improved Separation

Multi-Layer Filters: Adsorption and Filtration Mechanisms for Improved Separation

Poly(L-lactic acid) Depth Filter Membrane Prepared by Nonsolvent-Induced Phase Separation with the Aid of a Nonionic Surfactant

The influence of porous-medium microstructure on filtration

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