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Obradović D, Komsta Ł, Stavrianidi AN, Shpigun OA, Pokrovskiy OI, Vujić Z. Retention mechanisms of imidazoline and piperazine-related compounds in non-aqueous hydrophilic interaction and supercritical fluid chromatography based on chemometric design and analysis. J Chromatogr A 2022; 1678:463340. [PMID: 35905682 DOI: 10.1016/j.chroma.2022.463340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/04/2022] [Accepted: 07/12/2022] [Indexed: 10/17/2022]
Abstract
The experimental design methodology based on central composite design of experiments was applied to compare the retention mechanisms in supercritical fluid chromatography (SFC) and non-aqueous hydrophilic interaction liquid chromatography (NA-HILIC). The selected set consists of 26 compounds that belong to imidazoline and serotonin receptor ligands. The different chemometric tools (multiple linear regression, principal component analysis, parallel factor analysis) were used to examine the retention, as well as to identify the most significant retention mechanisms. The retention mechanism was investigated on two different stationary phases (diol, and mixed-mode diol). In NA-HILIC, the mobile phase contains acetonitrile as a main component, and methanolic solution of ammonium formate (+ 0.1% of formic acid) as a modifier. The same mobile phase modifier was used in SFC, with a difference in the main component of the mobile phase which was CO2. The retention behaviour differs significantly between HILIC and SFC conditions. The retention pattern in HILIC mode was more partition-like, while in SFC the solute-sorbent interactions allowed retention. The retention mechanism between mixed-mode diol and the diol phases varies depending on the applied chromatographic mode, e.g., in HILIC the type of stationary phase significantly affects the elution order, while in SFC this was not the case. The HILIC retention behaviour was influenced by the number of tertiary amines-aliphatic, and N atom-centred fragments in tested compounds. On the other hand, the number of pyrrole and pyridine rings in the structure of the compound showed correlation with their SFC retention, simultaneously increasing the molecular weight and rapid elution of larger compounds. It was found that temperature surprisingly plays a major role in SFC mode. The increase in temperature reduces the relative contribution of enthalpy factors to total retention, so the separation in SFC was more entropy-controlled. For further pharmaceutical research and optimization, the SFC would be considered more beneficial compared to HILIC since it gives good selectivity in separation of chosen impurities.
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Affiliation(s)
- D Obradović
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, Belgrade 11000, Serbia.
| | - Ł Komsta
- Chair and Department of Medical Chemistry, Faculty of Pharmacy, Medical University of Lublin, Jaczwsjiego 4, Lublin 20-090, Poland
| | - A N Stavrianidi
- Chemistry Department, Lomonosov Moscow State University, 1/3 Leninskie Gory, GSP-1, Moscow 119991, Russia; A.N. Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, 31 Leninsky Prospect, GSP-1, Moscow 119071, Russia
| | - O A Shpigun
- Chemistry Department, Lomonosov Moscow State University, 1/3 Leninskie Gory, GSP-1, Moscow 119991, Russia
| | - O I Pokrovskiy
- N.S. Kurnakov Institute of General and Inorganic Chemistry of Russian Academy of Sciences, 31 Leninsky Prospect, GSP-1, Moscow 119071, Russia
| | - Z Vujić
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, Belgrade 11000, Serbia
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Grübner M, Dunkel A, Steiner F, Hofmann T. Systematic Evaluation of Liquid Chromatography (LC) Column Combinations for Application in Two-Dimensional LC Metabolomic Studies. Anal Chem 2021; 93:12565-12573. [PMID: 34491041 DOI: 10.1021/acs.analchem.1c01857] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In comparison to proteomics, the application of two-dimensional liquid chromatography (2D LC) in the field of metabolomics is still premature. One reason might be the elevated chemical complexity and the associated challenge of selecting proper separation conditions in each dimension. As orthogonality of dimensions is a major issue, the present study aimed for the identification of successful stationary phase combinations. To determine the degree of orthogonality, first, six different metrics, namely, Pearson's correlation coefficient (1 - |R|), the nearest-neighbor distances (H̅NND), the "asterisk equations" (AO), and surface coverage by bins (SCG), convex hulls (SCCH), and α-convex hulls (SCαH), were critically assessed by 15 artificial 2D data sets, and a systematic parameter optimization of α-convex hulls was conducted. SGG, SCαH with α = 0.1, and H̅NND generated valid results with sensitivity toward space utilization and data distribution and, therefore, were applied to pairs of experimental retention time sets obtained for >350 metabolites, selected to represent the chemical space of human urine. Normalized retention data were obtained for 23 chromatographic setups, comprising reversed-phase (RP), hydrophilic interaction liquid chromatography (HILIC), and mixed-mode separation systems with an ion exchange (IEX) contribution. As expected, no single LC setting provided separation of all considered analytes, but while conventional RP×HILIC combinations appeared rather complementary than orthogonal, the incorporation of IEX properties into the RP dimension substantially increased the 2D potential. Eventually, one of the most promising column combinations was implemented for an offline 2D LC time-of-flight mass spectrometry analysis of a lyophilized urine sample. Targeted screening resulted in a total of 164 detected metabolites and confirmed the outstanding coverage of the 2D retention space.
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Affiliation(s)
- Maria Grübner
- Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich, Lise-Meitner-Straße 34, Freising 85354, Germany.,Thermo Fisher Scientific, Dornierstraße 4, Germering 82110, Germany
| | - Andreas Dunkel
- Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich, Lise-Meitner-Straße 34, Freising 85354, Germany.,Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Straße 34, Freising 85354, Germany
| | - Frank Steiner
- Thermo Fisher Scientific, Dornierstraße 4, Germering 82110, Germany
| | - Thomas Hofmann
- Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich, Lise-Meitner-Straße 34, Freising 85354, Germany
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Al Bakain RZ, Al-Degs YS, Cizdziel JV, Elsohly MA. Comprehensive classification of USA cannabis samples based on chemical profiles of major cannabinoids and terpenoids. J LIQ CHROMATOGR R T 2019. [DOI: 10.1080/10826076.2019.1701015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Ramia Z. Al Bakain
- Department of Chemistry, School of Science, The University of Jordan, Amman, Jordan
| | | | - James V. Cizdziel
- Department of Chemistry and Biochemistry, University of Mississippi, University, MS, USA
| | - Mahmoud A. Elsohly
- National Center for Natural Products Research, University, MS, USA
- Department of Pharmaceutics and Drug Delivery, School of Pharmacy, University of Mississippi, University, MS, USA
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Al Bakain RZ, Al-Degs Y, Andri B, Thiébaut D, Vial J, Rivals I. Supercritical Fluid Chromatography of Drugs: Parallel Factor Analysis for Column Testing in a Wide Range of Operational Conditions. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2017; 2017:5340601. [PMID: 28695040 PMCID: PMC5485488 DOI: 10.1155/2017/5340601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 04/11/2017] [Accepted: 04/23/2017] [Indexed: 06/07/2023]
Abstract
Retention mechanisms involved in supercritical fluid chromatography (SFC) are influenced by interdependent parameters (temperature, pressure, chemistry of the mobile phase, and nature of the stationary phase), a complexity which makes the selection of a proper stationary phase for a given separation a challenging step. For the first time in SFC studies, Parallel Factor Analysis (PARAFAC) was employed to evaluate the chromatographic behavior of eight different stationary phases in a wide range of chromatographic conditions (temperature, pressure, and gradient elution composition). Design of Experiment was used to optimize experiments involving 14 pharmaceutical compounds present in biological and/or environmental samples and with dissimilar physicochemical properties. The results showed the superiority of PARAFAC for the analysis of the three-way (column × drug × condition) data array over unfolding the multiway array to matrices and performing several classical principal component analyses. Thanks to the PARAFAC components, similarity in columns' function, chromatographic trend of drugs, and correlation between separation conditions could be simply depicted: columns were grouped according to their H-bonding forces, while gradient composition was dominating for condition classification. Also, the number of drugs could be efficiently reduced for columns classification as some of them exhibited a similar behavior, as shown by hierarchical clustering based on PARAFAC components.
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Affiliation(s)
- Ramia Z. Al Bakain
- Department of Chemistry, Faculty of Science, The University of Jordan, P.O. Box 11942, Amman, Jordan
| | - Yahya Al-Degs
- Chemistry Department, The Hashemite University, P.O. Box 150459, Zarqa, Jordan
| | - Bertyl Andri
- Laboratory of Analytical Chemistry, CIRM, University of Liege (ULg), 15 Avenue Hippocrate (B36), 4000 Liege, Belgium
| | - Didier Thiébaut
- Laboratoire Sciences Analytiques, Bioanalytiques et Miniaturisation, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Jérôme Vial
- Laboratoire Sciences Analytiques, Bioanalytiques et Miniaturisation, ESPCI Paris, PSL Research University, 75005 Paris, France
| | - Isabelle Rivals
- Équipe de Statistique Appliquée, ESPCI Paris, PSL Research University, UMRS 1158, 75005 Paris, France
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Schure MR, Davis JM. Orthogonal separations: Comparison of orthogonality metrics by statistical analysis. J Chromatogr A 2015; 1414:60-76. [DOI: 10.1016/j.chroma.2015.08.029] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Revised: 08/11/2015] [Accepted: 08/13/2015] [Indexed: 10/23/2022]
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Borges EM. How to select equivalent and complimentary reversed phase liquid chromatography columns from column characterization databases. Anal Chim Acta 2014; 807:143-52. [DOI: 10.1016/j.aca.2013.11.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 10/18/2013] [Accepted: 11/05/2013] [Indexed: 10/26/2022]
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Gilar M, Fridrich J, Schure MR, Jaworski A. Comparison of Orthogonality Estimation Methods for the Two-Dimensional Separations of Peptides. Anal Chem 2012; 84:8722-32. [DOI: 10.1021/ac3020214] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Martin Gilar
- Waters Corporation, 34 Maple St., Milford, Massachusetts 01757, United States
| | - Jessica Fridrich
- Department of Electrical and
Computer Engineering, SUNY Binghamton,
Binghamton, New York 13902-6000, United States
| | - Mark R. Schure
- Theoretical Separation Science
Laboratory, Kroungold Analytical, Inc.,
1299 Butler Pike, Blue Bell, Pennsylvania 19422, United States
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