Ranking and similarity for quantitative structure–retention relationship models in predicting Lee retention indices of polycyclic aromatic hydrocarbons

Analytica Chimica Acta ◽

10.1016/j.aca.2011.11.061 ◽

2012 ◽

Vol 716 ◽

pp. 92-100 ◽

Cited By ~ 30

Author(s):

Károly Héberger ◽

Biljana Škrbić

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Retention Indices ◽

Quantitative Structure ◽

Polycyclic Aromatic ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure–retention relationship studies for predicting the gas chromatography retention indices of polycyclic aromatic hydrocarbons

Journal of Chromatography A ◽

10.1016/s0021-9673(97)01025-x ◽

1998 ◽

Vol 799 (1-2) ◽

pp. 361-367 ◽

Cited By ~ 25

Author(s):

Jijun Kang ◽

Chenzhong Cao ◽

Zhiliang Li

Keyword(s):

Gas Chromatography ◽

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Retention Indices ◽

Quantitative Structure ◽

Polycyclic Aromatic ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure–retention relationships of polycyclic aromatic hydrocarbons gas-chromatographic retention indices

Journal of Chromatography A ◽

10.1016/j.chroma.2010.04.038 ◽

2010 ◽

Vol 1217 (26) ◽

pp. 4411-4421 ◽

Cited By ~ 21

Author(s):

Juan Carlos Drosos ◽

Maricela Viola-Rhenals ◽

Ricardo Vivas-Reyes

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Retention Indices ◽

Chromatographic Retention ◽

Quantitative Structure ◽

Gas Chromatographic Retention Indices ◽

Chromatographic Retention Indices ◽

Polycyclic Aromatic ◽

Structure Retention ◽

Quantitative Structure Retention Relationships

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Comparison of multiple linear regression, partial least squares and artificial neural network for quantitative structure retention relationships of some polycyclic aromatic hydrocarbons

Analytical Methods ◽

10.1039/c2ay25711d ◽

2012 ◽

Vol 4 (10) ◽

pp. 3381 ◽

Cited By ~ 6

Author(s):

Mohamad Mahani ◽

Homa ShaikhGhomi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Polycyclic Aromatic Hydrocarbons ◽

Linear Regression ◽

Multiple Linear Regression ◽

Least Squares ◽

Aromatic Hydrocarbons ◽

Quantitative Structure ◽

Polycyclic Aromatic ◽

Structure Retention

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Quantitative Structure-Retention Relationships for Polycyclic Aromatic Hydrocarbons and their Oligoalkynyl-Substituted Derivatives

ChemistryOpen ◽

10.1002/open.201700115 ◽

2017 ◽

Vol 6 (4) ◽

pp. 519-525 ◽

Cited By ~ 2

Author(s):

Gaël Rouillé ◽

Cornelia Jäger ◽

Friedrich Huisken ◽

Thomas Henning ◽

Regina Czerwonka ◽

...

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Quantitative Structure ◽

Polycyclic Aromatic ◽

Structure Retention ◽

Quantitative Structure Retention Relationships

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Quantitative structure-activity relationships for polycyclic aromatic hydrocarbons: Correlation between molecular connectivity, physico-chemical properties, bioconcentration and toxicity in Daphnia pulex

Chemosphere ◽

10.1016/0045-6535(84)90129-2 ◽

1984 ◽

Vol 13 (2) ◽

pp. 227-236 ◽

Cited By ~ 51

Author(s):

H. Govers ◽

C. Ruepert ◽

H. Aiking

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Daphnia Pulex ◽

Chemical Properties ◽

Quantitative Structure ◽

Molecular Connectivity ◽

Structure Activity ◽

Physico Chemical ◽

Polycyclic Aromatic ◽

Quantitative Structure Activity Relationships

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A relationship between the retention indices on nematic and isotropic phases and the shape of polycyclic aromatic hydrocarbons

Chromatographia ◽

10.1007/bf02265531 ◽

1979 ◽

Vol 12 (9) ◽

pp. 595-599 ◽

Cited By ~ 114

Author(s):

A. Radecki ◽

H. Lamparczyk ◽

R. Kaliszan

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Retention Indices ◽

Polycyclic Aromatic

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Mechanistic quantitative structure-activity relationship model for the photoinduced toxicity of polycyclic aromatic hydrocarbons: II. An empirical model for the toxicity of 16 polycyclic aromatic hydrocarbons to the duckweedLemna gibbaL. G-3

Environmental Toxicology and Chemistry ◽

10.1002/etc.5620161114 ◽

1997 ◽

Vol 16 (11) ◽

pp. 2296-2303

Author(s):

Xiao-Dong Huang ◽

Sergey N. Krylov ◽

Lisha Ren ◽

Brendan J. McConkey ◽

D. George Dixon ◽

...

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Aromatic Hydrocarbons ◽

Empirical Model ◽

Quantitative Structure Activity Relationship ◽

Structure Activity Relationship ◽

Activity Relationship ◽

Quantitative Structure ◽

Structure Activity ◽

Relationship Model ◽

Polycyclic Aromatic

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Quantitative structure–retention relationship for the Kovats retention indices of a large set of terpenes: A combined data splitting-feature selection strategy

Analytica Chimica Acta ◽

10.1016/j.aca.2007.04.009 ◽

2007 ◽

Vol 592 (1) ◽

pp. 72-81 ◽

Cited By ~ 37

Author(s):

Bahram Hemmateenejad ◽

Katayoun Javadnia ◽

Maryam Elyasi

Keyword(s):

Feature Selection ◽

Retention Indices ◽

Selection Strategy ◽

Large Set ◽

Quantitative Structure ◽

Data Splitting ◽

Kováts Retention Indices ◽

Structure Retention ◽

Quantitative Structure Retention Relationship ◽

Combined Data

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Structure-retention relationship analysis for some mono- and polycyclic aromatic hydrocarbons in reversed-phase liquid chromatography using molecular connectivity

Analytical Chemistry ◽

10.1021/ac00121a008 ◽

1986 ◽

Vol 58 (8) ◽

pp. 1625-1633 ◽

Cited By ~ 16

Author(s):

Martha J. M. Wells ◽

C. Randall. Clark ◽

Richard M. Patterson

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Liquid Chromatography ◽

Aromatic Hydrocarbons ◽

Reversed Phase ◽

Molecular Connectivity ◽

Reversed Phase Liquid Chromatography ◽

Relationship Analysis ◽

Polycyclic Aromatic ◽

Phase Liquid ◽

Structure Retention

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Application of a quantitative structure retention relationship approach for the prediction of the two-dimensional gas chromatography retention times of polycyclic aromatic sulfur heterocycle compounds

Journal of Chromatography A ◽

10.1016/j.chroma.2016.02.006 ◽

2016 ◽

Vol 1437 ◽

pp. 191-202 ◽

Cited By ~ 9

Author(s):

Rafal Gieleciak ◽

Darcy Hager ◽

Nicole E. Heshka

Keyword(s):

Gas Chromatography ◽

Two Dimensional ◽

Quantitative Structure ◽

Polycyclic Aromatic ◽

Structure Retention ◽

Sulfur Heterocycle ◽

Quantitative Structure Retention Relationship

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