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Papatheocharidou C, Samanidou V. Two-Dimensional High-Performance Liquid Chromatography as a Powerful Tool for Bioanalysis: The Paradigm of Antibiotics. Molecules 2023; 28:5056. [PMID: 37446719 DOI: 10.3390/molecules28135056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
The technique of two-dimensional high-performance liquid chromatography has managed to gain the recognition it deserves thanks to the advantages of satisfactory separations it can offer compared to simple one-dimensional. This review presents in detail key features of the technique, modes of operation, and concepts that ensure its optimal application and consequently the best possible separation of even the most complex samples. Publications focusing on the separation of antibiotics and their respective impurities are also presented, providing information concerning the analytical characteristics of the technique related to the arrangement of the instrument and the chromatographic conditions.
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Affiliation(s)
- Christina Papatheocharidou
- Laboratory of Analytical Chemistry, School of Chemistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
| | - Victoria Samanidou
- Laboratory of Analytical Chemistry, School of Chemistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
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2
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Li W, Huang J, Zheng L, Liu W, Fan L, Sun B, Su G, Xu J, Zhao M. A fast stop-flow two-dimensional liquid chromatography tandem mass spectrometry and its application in food-derived protein hydrolysates. Food Chem 2023; 406:135000. [PMID: 36463605 DOI: 10.1016/j.foodchem.2022.135000] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 10/10/2022] [Accepted: 11/16/2022] [Indexed: 11/21/2022]
Abstract
Food-derived bioactive peptides have many outstanding features like high safety, easy absorption, etc. However, explorations of the peptides are suffering from the limited knowledge of sample composition and low efficiency of separation techniques. In this work, a fast stop-flow two-dimensional liquid chromatography tandem mass spectrometry (2DLC-MS) was designed and constructed in-house. For chromatographic system optimization, the effects of column pairs and fraction transfer volumes on separation performance were studied. The pair of Protein BEH SEC and HSS T3 columns was found of high orthogonality. The peak capacity detected by the optimized 2DLC reached 1165 (for corn protein hydrolysates), indicating high resolving power. Moreover, the number of peptides identified from corn, soybean and casein protein hydrolysates reached as high as 8330, 8925 and 7215, respectively, demonstrating the high potential of the system. This would help reveal the peptide composition and facilitate the research on exploring bioactive peptides from food-derived protein hydrolysates.
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Affiliation(s)
- Wu Li
- School of Biotechnology and Health Sciences & International Healthcare Innovation Institute (Jiangmen), Wuyi University, Jiangmen 529020, China
| | - Junhong Huang
- School of Biotechnology and Health Sciences & International Healthcare Innovation Institute (Jiangmen), Wuyi University, Jiangmen 529020, China
| | - Lin Zheng
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou 510640, China
| | - Wanshun Liu
- School of Biotechnology and Health Sciences & International Healthcare Innovation Institute (Jiangmen), Wuyi University, Jiangmen 529020, China
| | - Liqi Fan
- School of Biotechnology and Health Sciences & International Healthcare Innovation Institute (Jiangmen), Wuyi University, Jiangmen 529020, China
| | - Baoguo Sun
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology & Business University, Beijing 100048, China
| | - Guowan Su
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou 510640, China
| | - Jucai Xu
- School of Biotechnology and Health Sciences & International Healthcare Innovation Institute (Jiangmen), Wuyi University, Jiangmen 529020, China; School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou 510640, China.
| | - Mouming Zhao
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou 510640, China; Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology & Business University, Beijing 100048, China.
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3
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Ahmad IAH, Losacco GL, Figus M, Korani D, Gunsch MJ, Lhotka HR, Hullen K, Hartman R, Lohani S, Hamilton S, Mangion I, Regalado EL. Generic reversed‐phase ultra‐high‐pressure liquid chromatography methodology developed by using computer‐assisted modeling for streamlined performance evaluation of a wide range of stationary phase columns. SEPARATION SCIENCE PLUS 2022. [DOI: 10.1002/sscp.202200002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | | | - Margaret Figus
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Deepa Korani
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Matthew J. Gunsch
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Hayley R. Lhotka
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Kari Hullen
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Robert Hartman
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Sachin Lohani
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Simon Hamilton
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Ian Mangion
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
| | - Erik L. Regalado
- Process Research and Development, MRL Merck & Co. Inc. Rahway New Jersey USA
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Haidar Ahmad IA, Kiffer A, Barrientos RC, Losacco GL, Singh A, Shchurik V, Wang H, Mangion I, Regalado EL. In Silico Method Development of Achiral and Chiral Tandem Column Reversed-phase Liquid Chromatography for Multicomponent Pharmaceutical Mixtures. Anal Chem 2022; 94:4065-4071. [PMID: 35199987 DOI: 10.1021/acs.analchem.1c05551] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Tandem column liquid chromatography (LC) is a convenient, cost-effective approach to resolve multicomponent mixtures by serially coupling columns on readily available one-dimensional separation systems without specialized user training. Yet, adoption of this technique remains limited, mainly due to the difficulty in identifying optimal selectivity out of many possible tandem column combinations. At this point, method development and optimization require laborious "hit-or-miss" experimentation and "blind" screening when investigating different column selectivity without standard analytes. As a result, many chromatography practitioners end up combining two columns of similar selectivity, limiting the scope and potential of tandem column LC as a mainstay for industrial applications. To circumvent this challenge, we herein introduce a straightforward in silico multifactorial approach as a framework to expediently map the separation landscape across multiple tandem columns (achiral and chiral) and eluent combinations (isocratic and gradient elution) under reversed-phase LC conditions. Retention models were built using commercially available LC simulator software showcasing less than 2% difference between experimental and simulated retention times for analytes of interest in multicomponent pharmaceutical mixtures (e.g., metabolites and cyclic peptides).
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Affiliation(s)
- Imad A Haidar Ahmad
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Alaina Kiffer
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Rodell C Barrientos
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Gioacchino Luca Losacco
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Andrew Singh
- 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
| | - Heather Wang
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, 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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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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Zhu K, Pursch M, Eeltink S, Desmet G. Maximizing two-dimensional liquid chromatography peak capacity for the separation of complex industrial samples. J Chromatogr A 2020; 1609:460457. [DOI: 10.1016/j.chroma.2019.460457] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/12/2019] [Accepted: 08/13/2019] [Indexed: 11/27/2022]
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Two-Dimensional Liquid Chromatography (2D-LC) in Pharmaceutical Analysis: Applications Beyond Increasing Peak Capacity. Chromatographia 2018. [DOI: 10.1007/s10337-018-3474-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Venkatramani C, Huang SR, Al-Sayah M, Patel I, Wigman L. High-resolution two-dimensional liquid chromatography analysis of key linker drug intermediate used in antibody drug conjugates. J Chromatogr A 2017; 1521:63-72. [DOI: 10.1016/j.chroma.2017.09.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 08/23/2017] [Accepted: 09/07/2017] [Indexed: 10/18/2022]
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9
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Iguiniz M, Heinisch S. Two-dimensional liquid chromatography in pharmaceutical analysis. Instrumental aspects, trends and applications. J Pharm Biomed Anal 2017; 145:482-503. [DOI: 10.1016/j.jpba.2017.07.009] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 07/07/2017] [Accepted: 07/09/2017] [Indexed: 10/19/2022]
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10
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Agapouda A, Booker A, Kiss T, Hohmann J, Heinrich M, Csupor D. Quality control of Hypericum perforatum L. analytical challenges and recent progress. J Pharm Pharmacol 2017; 71:15-37. [PMID: 28266019 DOI: 10.1111/jphp.12711] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 01/26/2017] [Indexed: 11/29/2022]
Abstract
Abstract
Objectives
The most widely applied qualitative and quantitative analytical methods in the quality control of Hypericum perforatum extracts will be reviewed, including routine analytical tools and most modern approaches.
Key findings
Biologically active components of H. perforatum are chemically diverse; therefore, different chromatographic and detection methods are required for the comprehensive analysis of St. John's wort extracts. Naphthodianthrones, phloroglucinols and flavonoids are the most widely analysed metabolites of this plant. For routine quality control, detection of major compounds belonging to these groups seems to be sufficient; however, closer characterization requires the detection of minor compounds as well.
Conclusions
TLC and HPTLC are basic methods in the routine analysis, whereas HPLC-DAD is the most widely applied method for quantitative analysis due to its versatility. LC-MS is gaining importance in pharmacokinetic studies due to its sensitivity. Modern approaches, such as DNA barcoding, NIRS and NMR metabolomics, may offer new possibilities for the more detailed characterization of secondary metabolite profile of H. perforatum extracts.
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Affiliation(s)
- Anastasia Agapouda
- Research Cluster “Biodiversity and Medicines”, Research Group “Pharmacognosy and Phytotherapy”, UCL School of Pharmacy, University of London, London, UK
| | - Anthony Booker
- Research Cluster “Biodiversity and Medicines”, Research Group “Pharmacognosy and Phytotherapy”, UCL School of Pharmacy, University of London, London, UK
- Division of Herbal and East Asian Medicine, Department of Life Sciences, University of Westminster, London, UK
| | - Tivadar Kiss
- Department of Pharmacognosy, University of Szeged, Szeged, Hungary
- Interdisciplinary Centre of Natural Products, University of Szeged, Szeged, Hungary
| | - Judit Hohmann
- Department of Pharmacognosy, University of Szeged, Szeged, Hungary
- Interdisciplinary Centre of Natural Products, University of Szeged, Szeged, Hungary
| | - Michael Heinrich
- Research Cluster “Biodiversity and Medicines”, Research Group “Pharmacognosy and Phytotherapy”, UCL School of Pharmacy, University of London, London, UK
| | - Dezső Csupor
- Department of Pharmacognosy, University of Szeged, Szeged, Hungary
- Interdisciplinary Centre of Natural Products, University of Szeged, Szeged, Hungary
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Affiliation(s)
- Dwight R. Stoll
- Department
of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States
| | - Peter W. Carr
- Department
of Chemistry, University of Minnesota, Minneapolis, Minnesota 55104, United States
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Abstract
This article summarizes the most important developments in the use of 2D-LC for bioanalysis in the last 5 years. While several interesting and powerful applications have been developed recently, this work has been supported by continued, significant development of theoretical concepts, instrument development and practical aspects of method development. Some of the most exciting applications have been focused on the use of 2D-LC and characterize proteins both as biotherapeutic drug substances, and in formulations. These materials are inherently complex, difficult to resolve chromatographically and present problems that are essentially unknown (e.g., aggregation) in the small molecule world, thus 2D-LC can be leveraged very effectively to address these challenges.
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Comparison of core–shell particles and sub-2μm fully porous particles for use as ultrafast second dimension columns in two-dimensional liquid chtomatography. J Chromatogr A 2015; 1386:31-8. [DOI: 10.1016/j.chroma.2014.11.069] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2014] [Revised: 11/21/2014] [Accepted: 11/24/2014] [Indexed: 01/24/2023]
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Two dimensional assisted liquid chromatography – a chemometric approach to improve accuracy and precision of quantitation in liquid chromatography using 2D separation, dual detectors, and multivariate curve resolution. Anal Chim Acta 2015; 859:87-95. [DOI: 10.1016/j.aca.2014.12.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2014] [Revised: 12/04/2014] [Accepted: 12/08/2014] [Indexed: 01/15/2023]
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