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Journal of Liquid Chromatography & Related Technologies Volume 38, 2015 - Issue 1
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Original Articles

Thermodynamic and QSRR Modeling of HPLC Retention on Modern Stationary Phases

Mateusz Kaczmarek Department of Biopharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland
,
Adam Buciński Department of Biopharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, PolandCorrespondence[email protected]
,
Michał P. Marszałł Department of Medicinal Chemistry, Department of Biopharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland
,
Anna Badura Department of Biopharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland
&
Roman Kaliszan Department of Biopharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland; Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gdańsk, Poland
Pages 62-67 | Published online: 02 Oct 2014

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Florin Soponar, Mihaela Sandru & Victor David. (2016) Dependence of reversed-phase liquid chromatographic retention for aripiprazole and some related chemical impurities on the main elution parameters. Journal of Liquid Chromatography & Related Technologies 39:2, pages 70-76.
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Articles from other publishers (7)

T. Liapikos, C. Zisi, D. Kodra, K. Kademoglou, D. Diamantidou, O. Begou, A. Pappa-Louisi & G. Theodoridis. (2022) Quantitative structure retention relationship (QSRR) modelling for Analytes’ retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance. Journal of Chromatography B 1191, pages 123132.
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Ahmed Faried Abdel Hakiem, Ahmed K. Hamdy, Hassan Refat Hassan Ali, Mohamed Gomaa & Ahmed Safwat Aboraia. (2021) In depth investigation of the retention behavior of structurally related β-blockers on RP-HPLC column: Quality by design and quantitative structure-property relationship complementary approaches for optimization and validation. Journal of Chromatography B 1166, pages 122549.
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Paul R. Haddad, Maryam Taraji & Roman Szücs. (2020) Prediction of Analyte Retention Time in Liquid Chromatography. Analytical Chemistry 93:1, pages 228-256.
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A. A. Yadrova, R. V. Shafigulin, A. V. Bulanova, A. A. Golov & Z. P. Belousova. (2018) Studying the Sorption of Certain Benzimidazoles on Octadecyl Silica Gel from Water–Acetonitrile Solutions via Liquid Chromatography. Russian Journal of Physical Chemistry A 92:8, pages 1572-1582.
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А. А. Ядрова, Р.В. Шафигулин, А.В. Буланова, А.А. Голов & З.П. Белоусова. (2018) ИЗУЧЕНИЕ СОРБЦИИ НЕКОТОРЫХ БЕНЗИМИДАЗОЛОВ НА ОКТАДЕЦИЛСИЛИКАГЕЛЕ ИЗ ВОДНО-АЦЕТОНИТРИЛЬНЫХ РАСТВОРОВ МЕТОДОМ ЖИДКОСТНОЙ ХРОМАТОГРАФИИ, "Журнал физической химии". Журнал физической химии:8, pages 1296-1307.
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T. Alvarez-Segura, J.R. Torres-Lapasió, C. Ortiz-Bolsico & M.C. García-Alvarez-Coque. (2016) Stationary phase modulation in liquid chromatography through the serial coupling of columns: A review. Analytica Chimica Acta 923, pages 1-23.
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Yanting SONG, Katsuya TAKATSUKI, Tetsushi SEKIGUCHI, Takashi FUNATSU, Shuichi SHOJI & Makoto TSUNODA. (2016) Retention and Bandwidth Predictions by Fast Gradient Elution Chromatography Using a Pillar Array Column. CHROMATOGRAPHY 37:3, pages 111-116.
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