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Stoll DR, Pirok BW. Perspectives on the Use of Retention Modeling to Streamline 2D-LC Method Development: Current State and Future Prospects. LCGC NORTH AMERICA 2022. [DOI: 10.56530/lcgc.na.zo2782l9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The history of multidimensional liquid chromatography (MDLC) has been dominated by methods that have been developed using highly empirical, experience-driven, trial-and-error approaches. These approaches have been sufficient in progressing the field forward scientifically, primarily in academic research laboratories. However, more widespread usage of multidimensional separations will require more systematic approaches to method development that rely less on user experience and lower the barriers to development and use of methods by a wider community of users. In this mini-review, we discuss recent research aimed at developing such systematic, model-driven approaches to streamline method development and speculate about likely advances in the same direction in the near future. It seems likely that such model-driven approaches would be particularly helpful for methods developed for analyzing biopharmaceutical molecules, which tend to be very sensitive to slight changes in method conditions (for example, mobile phase composition).
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Young GM, Lurie IS. Recent forensic applications of enhanced chromatographic separation methods. J Sep Sci 2021; 45:369-381. [PMID: 34535950 DOI: 10.1002/jssc.202100513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/11/2021] [Accepted: 09/12/2021] [Indexed: 01/14/2023]
Abstract
This study reviews the recent applications of enhanced separation methods employed in forensic analysis utilizing gas chromatography, liquid chromatography, and supercritical fluid chromatography published between 2015 to 2020, except papers previously covered in relevant review articles. Applications of enhanced chromatographic separation methods to arson investigations, environmental forensics, sexual assault investigations, drug analysis, and toxicology are discussed. Future directions for enhanced chromatographic separation methods in forensic science are also explored.
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Affiliation(s)
- Genetta M Young
- Department of Forensic Science, The George Washington University, Washington, DC, USA
| | - Ira S Lurie
- Department of Forensic Science, The George Washington University, Washington, DC, USA
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Haidar Ahmad IA, Makey DM, Wang H, Shchurik V, Singh AN, Stoll DR, Mangion I, Regalado EL. In Silico Multifactorial Modeling for Streamlined Development and Optimization of Two-Dimensional Liquid Chromatography. Anal Chem 2021; 93:11532-11539. [PMID: 34375071 DOI: 10.1021/acs.analchem.1c01970] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Continued adoption of two-dimensional liquid chromatography (2D-LC) in industrial laboratories will depend on the development of approaches to make method development for 2D-LC more systematic, less tedious, and less reliant on user expertise. In this paper, we build on previous efforts in these directions by describing the use of multifactorial modeling software that can help streamline and simplify the method development process for 2D-LC. Specifically, we have focused on building retention models for second dimension (2D) separations involving variables including gradient time, temperature, organic modifier blending, and buffer concentration using LC simulator (ACD/Labs) software. Multifactorial retention modeling outcomes are illustrated as resolution map planes or cubes that enable straightforward location of 2D conditions that maximize resolution while minimizing analysis time. We also illustrate the practicality of this approach by identifying conditions that yield baseline separation of all compounds co-eluting from a first dimension (1D) separation using a single combination of 2D stationary phase and elution conditions. The multifactorial retention models were found to be very accurate for both the 1D and 2D separations, with differences between experimental and simulated retention times of less than 0.5%. Pharmaceutical applications of this approach for multiple heartcutting 2D-LC were demonstrated using IEC-IEC or achiral RPLC-chiral RPLC for 2D separations of multicomponent mixtures. The framework outlined here should help make 2D-LC method development more systematic and streamline development and optimization for a variety of 2D-LC applications in both industry and academia.
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Affiliation(s)
- Imad A Haidar Ahmad
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Devin M Makey
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.,Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Heather Wang
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Vladimir Shchurik
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Andrew N Singh
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Dwight R Stoll
- Department of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States
| | - Ian Mangion
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Erik L Regalado
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
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Makey DM, Shchurik V, Wang H, Lhotka HR, Stoll DR, Vazhentsev A, Mangion I, Regalado EL, Ahmad IAH. Mapping the Separation Landscape in Two-Dimensional Liquid Chromatography: Blueprints for Efficient Analysis and Purification of Pharmaceuticals Enabled by Computer-Assisted Modeling. Anal Chem 2020; 93:964-972. [PMID: 33301312 DOI: 10.1021/acs.analchem.0c03680] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Recent developments in two-dimensional liquid chromatography (2D-LC) now make separation and analysis of very complex mixtures achievable. Despite being such a powerful chromatographic tool, current 2D-LC technology requires a series of arduous method development activities poorly suited for a fast-paced industrial environment. Recent introductions of new technologies including active solvent modulation and a support for multicolumn 2D-LC are helping to overcome this stigma. However, many chromatography practitioners believe that the lack of a systematic way to effectively optimize 2D-LC separations is a missing link in securing the viability of 2D-LC as a mainstay for industrial applications. In this work, a computer-assisted modeling approach that dramatically simplifies both offline and online 2D-LC method developments is introduced. Our methodology is based on mapping the separation landscape of pharmaceutically relevant mixtures across both first (1D) and second (2D) dimensions using LC Simulator (ACD/Labs) software. Retention models for 1D and 2D conditions were built using a minimal number of multifactorial modeling experiments (2 × 2 or 3 × 3 parameters: gradient slope, column temperature, and different column and mobile phase combinations). The approach was first applied to online 2D-LC analysis involving achiral and chiral separations of complex mixtures of enantiomeric species. In these experiments, the retention models proved to be quite accurate for both the 1D and 2D separations, with retention time differences between experiments and simulations of less than 3.5%. This software-based concept was also demonstrated for offline 2D-LC purification of drug substances.
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Affiliation(s)
- Devin M Makey
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.,Department of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States
| | - Vladimir Shchurik
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Heather Wang
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Hayley R Lhotka
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.,Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Dwight R Stoll
- Department of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States
| | - Andrey Vazhentsev
- Advanced Chemistry Development, Inc., Toronto, Ontario M5C 1B5, Canada
| | - Ian Mangion
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Erik L Regalado
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Imad A Haidar Ahmad
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
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Acquaviva A, Jones A, Dennis GR, Shalliker RA, Soliven A. Detection selectivity in the analysis of “reactive” chemical compounds derived from natural samples via reaction flow chromatography. Microchem J 2018. [DOI: 10.1016/j.microc.2018.02.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Moini M. Applications of liquid-based separation in conjunction with mass spectrometry to the analysis of forensic evidence. Electrophoresis 2018. [PMID: 29529344 DOI: 10.1002/elps.201700501] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
In the past few years, there has been a significant effort by the forensic science community to develop new scientific techniques for the analysis of forensic evidence. Forensic chemists have been spearheaded to develop information-rich confirmatory technologies and techniques and apply them to a broad array of forensic challenges. The purpose of these confirmatory techniques is to provide alternatives to presumptive techniques that rely on data such as color changes, pattern matching, or retention time alone, which are prone to more false positives. To this end, the application of separation techniques in conjunction with mass spectrometry has played an important role in the analysis of forensic evidence. Moreover, in the past few years the role of liquid separation techniques, such as liquid chromatography and capillary electrophoresis in conjunction with mass spectrometry, has gained significant tractions and have been applied to a wide range of chemicals, from small molecules such as drugs and explosives, to large molecules such as proteins. For example, proteomics and peptidomics have been used for identification of humans, organs, and bodily fluids. A wide range of HPLC techniques including reversed phase, hydrophilic interaction, mixed-mode, supercritical fluid, multidimensional chromatography, and nanoLC, as well as several modes of capillary electrophoresis mass spectrometry, including capillary zone electrophoresis, partial filling, full filling, and micellar electrokenetic chromatography have been applied to the analysis drugs, explosives, and questioned documents. In this article, we review recent (2015-2017) applications of liquid separation in conjunction with mass spectrometry to the analysis of forensic evidence.
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Affiliation(s)
- Mehdi Moini
- Department of Forensic Sciences, George Washington University, Washington, D.C., USA
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Lin Z, Li J, Zhang X, Qiu M, Huang Z, Rao Y. Ultrasound-assisted dispersive liquid-liquid microextraction for the determination of seven recreational drugs in human whole blood using gas chromatography-mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2017; 1046:177-184. [PMID: 28189103 DOI: 10.1016/j.jchromb.2017.01.024] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 12/19/2016] [Accepted: 01/01/2017] [Indexed: 12/13/2022]
Abstract
Recreational drugs have large impact on public health and security, and to monitor them is of urgent demand. In the present study, ultrasound-assisted dispersive liquid-liquid microextraction combined with the detection of gas chromatography-mass spectrometry was applied to the determination of seven common recreational drugs, including amphetamine, methamphetamine, 3,4-methylenedioxyamphetamine, 3,4-methylenedioxymethamphetamine, meperidine, methadone and ketamine in 200μL of human whole blood. A series of factors which would affect the extraction efficiency were systematically investigated, including the nature and the volume of extraction and dispersing solvents, ultrasonication time, salting-out effect and pH value. The method consumed small amount of sample. The limits of detection and limits of quantification for each analyte were 10 and 40ng/mL, respectively, and the linearity was in the range of 0.04-25μg/mL (R2 higher than 0.99). Good specificity, precision (1.5-8.2% for the intra-day study and 2.6-12.8% for the inter-day study), satisfactory accuracy (85.0-117.1%) and extraction recovery (77.0-92.4%) were obtained, which makes it a high performance method for the determination of recreational drugs in human whole blood samples.
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Affiliation(s)
- Zebin Lin
- Department of Forensic Medicine (Center of Forensic Science), School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Jiaolun Li
- Department of Forensic Medicine (Center of Forensic Science), School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Xinyu Zhang
- Department of Forensic Medicine (Center of Forensic Science), School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; Department of Pharmaceutical Analysis, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing 210009, China
| | - Meihong Qiu
- State Key Laboratory of Medical Neurobiology and Department of Neurobiology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Zhibin Huang
- Department of Forensic Medicine (Center of Forensic Science), School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Yulan Rao
- Department of Forensic Medicine (Center of Forensic Science), School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
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