Imperial College London

DrJerryHeng

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Particle Technology
 
 
 
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Contact

 

+44 (0)20 7594 0784jerry.heng

 
 
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Location

 

417AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Smith:2014:10.1021/la500688d,
author = {Smith, RR and Williams, DR and Burnett, DJ and Heng, JYY},
doi = {10.1021/la500688d},
journal = {Langmuir},
pages = {8029--8035},
title = {A New Method To Determine Dispersive Surface Energy Site Distributions by Inverse Gas Chromatography},
url = {http://dx.doi.org/10.1021/la500688d},
volume = {30},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - A computational model to predict the relative energy site contributions of a heterogeneous material from data collected by finite dilution–inverse gas chromatography (FD-IGC) is presented in this work. The methodology employed a multisolvent system site filling model utilizing Boltzmann statistics, expanding on previous efforts to calculate “experienced energies” at varying coverage, yielding a retention volume distribution allowing calculation of a surface free energy distribution. Surface free energy distributions were experimentally measured for racemic ibuprofen and β-mannitol powders, the energies of each were found in the ranges 43–52 and 40–55 mJ/m2, respectively, over a surface coverage range of 0–8%. The computed contributions to surface energy values were found to match closely with data collected on macroscopic crystals by alternative techniques (±<1.5 mJ/m2).
AU - Smith,RR
AU - Williams,DR
AU - Burnett,DJ
AU - Heng,JYY
DO - 10.1021/la500688d
EP - 8035
PY - 2014///
SN - 1520-5827
SP - 8029
TI - A New Method To Determine Dispersive Surface Energy Site Distributions by Inverse Gas Chromatography
T2 - Langmuir
UR - http://dx.doi.org/10.1021/la500688d
UR - http://hdl.handle.net/10044/1/24084
VL - 30
ER -