Quantitative structure-retention relationship for retention behavior of organic pollutants in textile wastewaters and landfill leachate in LC-APCI-MS

Environmental Science and Pollution Research ◽

10.1007/s11356-011-0650-x ◽

2011 ◽

Vol 19 (4) ◽

pp. 1252-1259 ◽

Author(s):

Hadi Noorizadeh ◽

Abbas Farmany

Keyword(s):

Organic Pollutants ◽

Landfill Leachate ◽

Quantitative Structure ◽

Retention Behavior ◽

Structure Retention ◽

Quantitative Structure Retention Relationship ◽

Textile Wastewaters

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Quantitative Structure Retention Relationship Modeling of Retention Time for Some Organic Pollutants

Analytical Letters ◽

10.1080/00032710903486294 ◽

2010 ◽

Vol 43 (5) ◽

pp. 823-835 ◽

Author(s):

Mohammad H. Fatemi ◽

Mehdi Ghorbanzad'e ◽

Elham Baher

Keyword(s):

Organic Pollutants ◽

Retention Time ◽

Quantitative Structure ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Novel generalized correlative index used to study the quantitative structure-retention relationship on several persistent organic pollutants

Chinese Journal of Analytical Chemistry ◽

10.1016/s1872-2040(06)60052-2 ◽

2006 ◽

Vol 34 (8) ◽

pp. 1096-1100 ◽

Author(s):

Zhou Peng ◽

Mei Hu ◽

Tian Feifei ◽

Li Zhiliang

Keyword(s):

Organic Pollutants ◽

Persistent Organic Pollutants ◽

Quantitative Structure ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure—retention relationship modeling of the retention behavior of selected antipsychotic drugs in normal-phase thin-layer chromatography

JPC - Journal of Planar Chromatography - Modern TLC ◽

10.1556/1006.2017.30.3.13 ◽

2017 ◽

Vol 30 (3) ◽

pp. 225-230 ◽

Author(s):

Krzesimir Ciura ◽

Anna Rutecka ◽

Piotr Kawczak ◽

Joanna Nowakowska

Keyword(s):

Thin Layer Chromatography ◽

Antipsychotic Drugs ◽

Normal Phase ◽

Quantitative Structure ◽

Retention Behavior ◽

Structure Retention ◽

Layer Chromatography ◽

Quantitative Structure Retention Relationship

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Quantitative structure-retention relationship modeling of the retention behavior of guanidine and imidazoline derivatives in reversed-phase thin-layer chromatography

JPC - Journal of Planar Chromatography - Modern TLC ◽

10.1556/jpc.28.2015.2.6 ◽

2015 ◽

Vol 28 (2) ◽

pp. 119-125 ◽

Author(s):

Slavica Filipic ◽

Milica Elek ◽

Katarina Nikolic ◽

Danica Agbaba

Keyword(s):

Thin Layer Chromatography ◽

Reversed Phase ◽

Quantitative Structure ◽

Retention Behavior ◽

Imidazoline Derivatives ◽

Structure Retention ◽

Layer Chromatography ◽

Quantitative Structure Retention Relationship

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Machine learning-based quantitative structure–retention relationship models for predicting the retention indices of volatile organic pollutants

International Journal of Environmental Science and Technology ◽

10.1007/s13762-021-03271-9 ◽

2021 ◽

Author(s):

B. Sepehri ◽

R. Ghavami ◽

S. Farahbakhsh ◽

R. Ahmadi

Keyword(s):

Machine Learning ◽

Organic Pollutants ◽

Retention Indices ◽

Quantitative Structure ◽

Volatile Organic ◽

Volatile Organic Pollutants ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Use of cluster and principal component analysis in quantitative structure-retention relationship study

Analytica Chimica Acta ◽

10.1016/s0003-2670(97)00034-2 ◽

1997 ◽

Vol 348 (1-3) ◽

pp. 481-487 ◽

Author(s):

Esther Forgács ◽

Tibor Cserháti

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Quantitative Structure ◽

Structure Retention ◽

Relationship Study ◽

Quantitative Structure Retention Relationship

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A strategy to improve the identification reliability of the chemical constituents by high-resolution mass spectrometry-based isomer structure prediction combined with a quantitative structure retention relationship analysis: Phthalide compounds in Chuanxiong as a test case

Journal of Chromatography A ◽

10.1016/j.chroma.2018.03.055 ◽

2018 ◽

Vol 1552 ◽

pp. 17-28 ◽

Author(s):

Qingqing Zhang ◽

Mengqi Huo ◽

Yanling Zhang ◽

Yanjiang Qiao ◽

Xiaoyan Gao

Keyword(s):

Mass Spectrometry ◽

Structure Prediction ◽

High Resolution Mass Spectrometry ◽

Chemical Constituents ◽

Test Case ◽

Quantitative Structure ◽

Relationship Analysis ◽

Structure Retention ◽

Quantitative Structure Retention Relationship ◽

Resolution Mass

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Estimation of passive gastrointestinal absorption and membrane retention using PAMPA test, quantitative structure-permeability and quantitative structure-retention relationship analyses of ethylenediamine-N,N'-di-2-(3-cyclohexyl)propanoic acid and 1,3-propanediamine-N,N'-di-2-(3-cyclohexyl)propanoic acid derivatives

Journal of Pharmaceutical and Biomedical Analysis ◽

10.1016/j.jpba.2020.113213 ◽

2020 ◽

Vol 184 ◽

pp. 113213

Author(s):

Biljana Tubić ◽

Vladimir Dobričić ◽

Jelena Poljarević ◽

Aleksandar Savić ◽

Tibor Sabo ◽

...

Keyword(s):

Gastrointestinal Absorption ◽

Propanoic Acid ◽

Quantitative Structure ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Suspect screening of environmental contaminants by UHPLC-HRMS and transposable Quantitative Structure-Retention Relationship modelling

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2020.124652 ◽

2020 ◽

pp. 124652

Author(s):

Eloi Bride ◽

Sabine Heinisch ◽

Bénilde Bonnefille ◽

Céline Guillemain ◽

Christelle Margoum

Keyword(s):

Environmental Contaminants ◽

Quantitative Structure ◽

Suspect Screening ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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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 ◽

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 ◽

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