2021
DOI: 10.1016/j.memsci.2021.119766
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FIB-SEM tomography reveals the nanoscale 3D morphology of virus removal filters

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Cited by 20 publications
(7 citation statements)
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“…It was noted that two‐dimensional (2D) image analysis for membrane morphology had some limitations, such as limited estimation of the circular shape of pores, discrepancy of cross‐sectional pore structure, and limited analysis of pore interconnectivity. Although 3D image analysis, for example, using focused ion beam‐SEM tomography, provides better interpretation (Brickey et al, 2021), 2D SEM images can be used to simply distinguish structural differences among virus‐retentive membranes. The difference in membrane structure and nominal pore size suggested that different fouling propensities and virus removal performances are expected under the same experimental conditions.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…It was noted that two‐dimensional (2D) image analysis for membrane morphology had some limitations, such as limited estimation of the circular shape of pores, discrepancy of cross‐sectional pore structure, and limited analysis of pore interconnectivity. Although 3D image analysis, for example, using focused ion beam‐SEM tomography, provides better interpretation (Brickey et al, 2021), 2D SEM images can be used to simply distinguish structural differences among virus‐retentive membranes. The difference in membrane structure and nominal pore size suggested that different fouling propensities and virus removal performances are expected under the same experimental conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Interestingly, the best‐fitted fouling model for Viresolve® Pro was changed to the standard blocking at higher protein concentration showing the lowest RMSE value (Table S4). Viresolve® Pro had shallow PSGs from membrane exit with high interconnectivity (Brickey et al, 2021; Fallahianbijan et al, 2019) where relatively lower contents of large oligomers dominantly blocked the pores (i.e., complete blocking) at 1 g/L of BSA solution while relatively smaller BSA with large contents (>75%) at higher protein concentration condition would mainly clogged the pores, resulted in the changed the model to standard blocking. It is noted that Virosart® CPV still matched with the complete blocking model at 10 g/L of BSA solution (Figure S6).…”
Section: Resultsmentioning
confidence: 99%
“…28 Physical entrapment of viruses in the inner pore voids of the membrane is similar to the established removal mechanisms of particle entrapment inside depth filters. 29 Recent research has demonstrated that virus retention by common MF and UF membranes could be increased by modifying the surface and pore structure, which primarily enhances adsorption interactions. For example, surface functionalization of a polyethersulfone (PES) membrane with polyethyleneimine (PEI) improved its removal of MS2 bacteriophages by about 3 LRV.…”
Section: Introductionmentioning
confidence: 99%
“…The virus adsorption capacity depends on the membrane material, the type of virus (i.e., the capsid size and properties), , and solution properties . Physical entrapment of viruses in the inner pore voids of the membrane is similar to the established removal mechanisms of particle entrapment inside depth filters …”
Section: Introductionmentioning
confidence: 99%
“…Reingruber et al 39 an ultramicrotome mounted in the specimen chamber of an environmental scanning electron microscope (SEM) to visualize and quantitatively characterize the 3D microporous structure of commercially available polyethersulfone microfiltration membranes with nominal pore sizes of 0.45 and 0.60 μm. Brickey et al 40 analyzed the 3D morphology of virus removal filters and estimated the virus retentive pore diameter using a focused ion beam SEM (FIB-SEM). Qin et al 41 demonstrated the superiority of FIB-SEM over freeze-fracture in imaging polymeric and inorganic membranes.…”
Section: Introductionmentioning
confidence: 99%