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Christopher A Pohl

Showing results (31-40 of 50) with videos related to

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Journal of Chromatography. A|July 31, 2012
Determination of pharmaceutically related compounds by suppressed ion chromatography: IV. Interfacing ion chromatography with universal detectorsNaama Karu, Joseph P Hutchinson, Greg W Dicinoski, et al.
Journal of Chemical Information and Modeling|October 14, 2017
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships StudiesRuth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
Journal of Chromatography. A|October 18, 2017
Error measures in quantitative structure-retention relationships studiesMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systemsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry|June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted MetabolomicsYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A|February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction ModelYabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Analytica Chimica Acta|January 1, 2018
Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A reviewMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|July 12, 2011
Methodology for porting retention prediction data from old to new columns and from conventional-scale to miniaturised ion chromatography systemsBoon K Ng, Robert A Shellie, Greg W Dicinoski, et al.
Journal of Chromatography. A|April 13, 2011
Coupled reversed-phase and ion chromatographic system for the simultaneous identification of inorganic and organic explosivesEadaoin Tyrrell, Greg W Dicinoski, Emily F Hilder, et al.
Journal of Chromatography. A|September 17, 2017
Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatographySoo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Pageof 5

Showing results (31-40 of 50) with videos related to

Sort By:
Pageof 5
Journal of Chromatography. A|July 31, 2012
Determination of pharmaceutically related compounds by suppressed ion chromatography: IV. Interfacing ion chromatography with universal detectorsNaama Karu, Joseph P Hutchinson, Greg W Dicinoski, et al.
Journal of Chemical Information and Modeling|October 14, 2017
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships StudiesRuth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
Journal of Chromatography. A|October 18, 2017
Error measures in quantitative structure-retention relationships studiesMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systemsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry|June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted MetabolomicsYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A|February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction ModelYabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Analytica Chimica Acta|January 1, 2018
Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A reviewMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|July 12, 2011
Methodology for porting retention prediction data from old to new columns and from conventional-scale to miniaturised ion chromatography systemsBoon K Ng, Robert A Shellie, Greg W Dicinoski, et al.
Journal of Chromatography. A|April 13, 2011
Coupled reversed-phase and ion chromatographic system for the simultaneous identification of inorganic and organic explosivesEadaoin Tyrrell, Greg W Dicinoski, Emily F Hilder, et al.
Journal of Chromatography. A|September 17, 2017
Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatographySoo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Pageof 5