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Journal article
Surface area and porosity analysis in nanoporous carbons by atomistic pore domain model
Carbon (New York), Vol.229, 119510
2024
Abstract
We present a new atomistic model for evaluating the surface area and porosity of micro-mesoporous carbons. This method, referred to as the atomistic pore domain model (APDM), advances the adsorption porosity methodology by calculating textural properties of micro-mesoporous carbons without relying on assumptions about pore geometry. A thorough analysis of porosity across eleven porous carbons demonstrates a robust correlation between the surface area accessible to N2 molecules, as computed using APDM and the Brunauer-Emmett-Teller method with Rouquerol criterium. This correlation is observed across a spectrum of nanoporous carbons, ranging from ultramicroporous activated carbon fibers and nanoporous carbon beads to supermicro-mesoporous activated carbons and activated carbon fibers. APDM facilitates the extraction of the information regarding the N2 surface area accessibility and the intrinsic geometric surface area of micro-mesoporous carbons. The N2-to-He surface area accessibility ratio of the investigated porous carbons varies from approximately 57 %–94 %, indicating varying degrees of pore sieving among studied carbon samples. Except for ACF-25 micro-mesoporous activated carbon fiber, the intrinsic geometric surface areas of the studied micro-mesoporous carbons are smaller than the geometrical surface area of a single graphene sheet (2640 m2/g).
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Details
- Title
- Surface area and porosity analysis in nanoporous carbons by atomistic pore domain model
- Authors/Creators
- Piotr Kowalczyk - Murdoch University, Centre for Water, Energy and WasteSylwester Furmaniak - Materials Research GroupArtur P. Terzyk - Materials Research GroupNicholas J. Corrente - Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway, NJ, 08854-8058, United StatesAlexander V. Neimark - Rutgers, The State University of New Jersey
- Publication Details
- Carbon (New York), Vol.229, 119510
- Publisher
- Elsevier Ltd
- Identifiers
- 991005692866807891
- Copyright
- © 2024 The Authors.
- Murdoch Affiliation
- School of Mathematics, Statistics, Chemistry and Physics
- Language
- English
- Resource Type
- Journal article
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