Matches in SemOpenAlex for { <https://semopenalex.org/work/W2324388473> ?p ?o ?g. }
- W2324388473 endingPage "4712" @default.
- W2324388473 startingPage "4700" @default.
- W2324388473 abstract "A new model has been developed for predicting mixed-gas adsorption equilibria from multicomponent gas mixtures based on the dual-process Langmuir (DPL) formulation. It predicts ideal, nonideal, and azeotropic adsorbed solution behavior from a knowledge of only single-component adsorption isotherms and the assertion that each binary pair in the gas mixture correlates in either a perfect positive (PP) or perfect negative (PN) fashion on each of the two Langmuir sites. The strictly PP and strictly PN formulations thus provide a simple means for determining distinct and absolute bounds of the behavior of each binary pair, and the PP or PN behavior can be confirmed by comparing predictions to binary experimental adsorption equilibria or from intuitive knowledge of binary pairwise adsorbate-adsorbent interactions. The extension to ternary and higher-order systems is straightforward on the basis of the pairwise additivity of the binary adsorbent-adsorbate interactions and two rules that logically restrict the combinations of PP and PN behaviors between binary pairs in a multicomponent system. Many ideal and nonideal binary systems and two ternary systems were tested against the DPL model. Each binary adsorbate-adsorbent pair exhibited either PP or PN behavior but nothing in between. This binary information was used successfully to predict ternary adsorption equilibria based on binary pairwise additivity. Overall, predictions from the DPL model were comparable to or significantly better than those from other models in the literature, revealing that its correlative and predictive powers are universally applicable. Because it is loading-explicit, simple to use, and also accurate, the DPL model may be one of the best equilibrium models to use in gas-phase adsorption process simulation." @default.
- W2324388473 created "2016-06-24" @default.
- W2324388473 creator A5001284064 @default.
- W2324388473 creator A5008076664 @default.
- W2324388473 creator A5041331238 @default.
- W2324388473 date "2011-03-17" @default.
- W2324388473 modified "2023-09-25" @default.
- W2324388473 title "On the Use of the Dual-Process Langmuir Model for Correlating Unary Equilibria and Predicting Mixed-Gas Adsorption Equilibria" @default.
- W2324388473 cites W1539932571 @default.
- W2324388473 cites W1966428762 @default.
- W2324388473 cites W1969688111 @default.
- W2324388473 cites W1978721734 @default.
- W2324388473 cites W1983032678 @default.
- W2324388473 cites W1986113254 @default.
- W2324388473 cites W1987979475 @default.
- W2324388473 cites W2001110512 @default.
- W2324388473 cites W2003804407 @default.
- W2324388473 cites W2009182848 @default.
- W2324388473 cites W2012121616 @default.
- W2324388473 cites W2012767564 @default.
- W2324388473 cites W2023607116 @default.
- W2324388473 cites W2026573329 @default.
- W2324388473 cites W2040630580 @default.
- W2324388473 cites W2053764275 @default.
- W2324388473 cites W2055574067 @default.
- W2324388473 cites W2079022793 @default.
- W2324388473 cites W2091882400 @default.
- W2324388473 cites W2094084742 @default.
- W2324388473 cites W2094107687 @default.
- W2324388473 cites W2102691188 @default.
- W2324388473 cites W2107067366 @default.
- W2324388473 cites W2131126226 @default.
- W2324388473 cites W2136492756 @default.
- W2324388473 cites W2149860612 @default.
- W2324388473 cites W2155178761 @default.
- W2324388473 cites W4241890856 @default.
- W2324388473 cites W4296221673 @default.
- W2324388473 cites W97067242 @default.
- W2324388473 doi "https://doi.org/10.1021/la104965w" @default.
- W2324388473 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21413784" @default.
- W2324388473 hasPublicationYear "2011" @default.
- W2324388473 type Work @default.
- W2324388473 sameAs 2324388473 @default.
- W2324388473 citedByCount "82" @default.
- W2324388473 countsByYear W23243884732012 @default.
- W2324388473 countsByYear W23243884732013 @default.
- W2324388473 countsByYear W23243884732014 @default.
- W2324388473 countsByYear W23243884732015 @default.
- W2324388473 countsByYear W23243884732016 @default.
- W2324388473 countsByYear W23243884732017 @default.
- W2324388473 countsByYear W23243884732018 @default.
- W2324388473 countsByYear W23243884732019 @default.
- W2324388473 countsByYear W23243884732020 @default.
- W2324388473 countsByYear W23243884732021 @default.
- W2324388473 countsByYear W23243884732022 @default.
- W2324388473 countsByYear W23243884732023 @default.
- W2324388473 crossrefType "journal-article" @default.
- W2324388473 hasAuthorship W2324388473A5001284064 @default.
- W2324388473 hasAuthorship W2324388473A5008076664 @default.
- W2324388473 hasAuthorship W2324388473A5041331238 @default.
- W2324388473 hasConcept C105795698 @default.
- W2324388473 hasConcept C114614502 @default.
- W2324388473 hasConcept C115958267 @default.
- W2324388473 hasConcept C121332964 @default.
- W2324388473 hasConcept C12143843 @default.
- W2324388473 hasConcept C121864883 @default.
- W2324388473 hasConcept C134306372 @default.
- W2324388473 hasConcept C147789679 @default.
- W2324388473 hasConcept C150394285 @default.
- W2324388473 hasConcept C184898388 @default.
- W2324388473 hasConcept C185592680 @default.
- W2324388473 hasConcept C199360897 @default.
- W2324388473 hasConcept C33923547 @default.
- W2324388473 hasConcept C38803922 @default.
- W2324388473 hasConcept C41008148 @default.
- W2324388473 hasConcept C48372109 @default.
- W2324388473 hasConcept C64452783 @default.
- W2324388473 hasConcept C78023250 @default.
- W2324388473 hasConcept C94375191 @default.
- W2324388473 hasConcept C97355855 @default.
- W2324388473 hasConceptScore W2324388473C105795698 @default.
- W2324388473 hasConceptScore W2324388473C114614502 @default.
- W2324388473 hasConceptScore W2324388473C115958267 @default.
- W2324388473 hasConceptScore W2324388473C121332964 @default.
- W2324388473 hasConceptScore W2324388473C12143843 @default.
- W2324388473 hasConceptScore W2324388473C121864883 @default.
- W2324388473 hasConceptScore W2324388473C134306372 @default.
- W2324388473 hasConceptScore W2324388473C147789679 @default.
- W2324388473 hasConceptScore W2324388473C150394285 @default.
- W2324388473 hasConceptScore W2324388473C184898388 @default.
- W2324388473 hasConceptScore W2324388473C185592680 @default.
- W2324388473 hasConceptScore W2324388473C199360897 @default.
- W2324388473 hasConceptScore W2324388473C33923547 @default.
- W2324388473 hasConceptScore W2324388473C38803922 @default.
- W2324388473 hasConceptScore W2324388473C41008148 @default.
- W2324388473 hasConceptScore W2324388473C48372109 @default.
- W2324388473 hasConceptScore W2324388473C64452783 @default.
- W2324388473 hasConceptScore W2324388473C78023250 @default.