Protein Immobilization in Surface-Functionalized SBA-15: Predicting the Uptake Capacity from the Pore Structure

Jens Meissner; Albert Prause; Caroline Di Tommaso; Bhuvnesh Bharti; Gerhard H. Findenegg

doi:10.1021/jp5096745

Protein Immobilization in Surface-Functionalized SBA-15: Predicting the Uptake Capacity from the Pore Structure

The Journal of Physical Chemistry C ◽

10.1021/jp5096745 ◽

2015 ◽

Vol 119 (5) ◽

pp. 2438-2446 ◽

Cited By ~ 15

Author(s):

Jens Meissner ◽

Albert Prause ◽

Caroline Di Tommaso ◽

Bhuvnesh Bharti ◽

Gerhard H. Findenegg

Keyword(s):

Pore Structure ◽

Protein Immobilization ◽

Uptake Capacity

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The performance of mesoporous organosilicas with phenyl groups in Heme protein immobilization

New Journal of Chemistry ◽

10.1039/c4nj01759e ◽

2015 ◽

Vol 39 (1) ◽

pp. 739-745 ◽

Cited By ~ 2

Author(s):

Yu Xiao ◽

Buyuan Guan ◽

Xue Wang ◽

Zhuofu Wu ◽

Yunling Liu ◽

...

Keyword(s):

Pore Structure ◽

Immobilized Enzyme ◽

Protein Immobilization ◽

Heme Protein ◽

Mesoporous Organosilicas

We demonstrate the influence of phenyl groups in the pore structure of mesoporous organosilicas, on the quantity of absorbed enzyme and the activity of immobilized enzyme.

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Recyclable 3D graphene aerogel with bimodal pore structure for ultrafast and selective oil sorption from water

RSC Advances ◽

10.1039/c7ra02886e ◽

2017 ◽

Vol 7 (47) ◽

pp. 29722-29731 ◽

Cited By ~ 14

Author(s):

Muhammad Adil Riaz ◽

Pejman Hadi ◽

Irfan H. Abidi ◽

Abhishek Tyagi ◽

Xuewu Ou ◽

...

Keyword(s):

Pore Structure ◽

Sorption Rate ◽

Uptake Capacity ◽

Graphene Aerogel ◽

3D Graphene ◽

Oil Sorption ◽

Porous Sorbent ◽

Bimodal Pore Structure

Development of graphene based porous sorbent to overcome the challenges, such as low uptake capacity, slow sorption rate, and non-recyclability, associated with conventional sorbents.

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Correlation of Pore Structure and Permeability by SEM-Image Analysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100180896 ◽

1990 ◽

Vol 48 (1) ◽

pp. 428-429

Author(s):

C. A. Callender ◽

Wm. C. Dawson ◽

J. J. Funk

Keyword(s):

Image Analysis ◽

Pore Structure ◽

Imaging System ◽

Pore Space ◽

Simulation Models ◽

Image Analyzer ◽

Imaging Data ◽

Sem Images ◽

Thin Sections ◽

Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

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