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Gamble SN, Granger CO, Mannion JM. Advanced Method Optimization for Sampling and Analysis Instrumentation. Anal Chem 2024; 96:11666-11672. [PMID: 38984743 DOI: 10.1021/acs.analchem.3c05763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
This work presents a generalized approach for analytical method optimization that branches the gap between techniques historically employed and accurate modern optimization techniques suitable for various applications. The novelty of the described strategy is the utilization of multivariate, multiobjective optimization with Karush-Kuhn-Tucker conditions to bound the optimization space to solutions within the physical limitations of instrumentation. Briefly, the basic steps outlined in this paper are to (1) determine the objective(s) that should be maximized or minimized based on the goals of the analytical application, (2) conduct a screening experiment, (3) perform ANOVA to determine the parameters which have a statistically significant effect on the objective, (4) conduct an experiment (e.g., Box-Behnken design) to collect data for fitting the objective equation, and (5) determine the physical constraints of the parameters and solve the Lagrangian to determine the optimal method parameters. A broad approach to optimization target selection allows for robust method tuning to develop improved data sets amenable for chemometrics and machine learning algorithm development. Gas chromatography-mass spectrometry was selected as a use case due to its broad use across scientific fields and time-consuming method development involving numerous parameters. This strategy can reduce the cost of research, improve data quality, and enable the rapid development of new analytical techniques.
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Affiliation(s)
- Stephanie N Gamble
- Savannah River National Laboratory, Aiken 29808, South Carolina, United States
| | - Caroline O Granger
- Savannah River National Laboratory, Aiken 29808, South Carolina, United States
| | - Joseph M Mannion
- Savannah River National Laboratory, Aiken 29808, South Carolina, United States
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2
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Brehmer T, Duong B, Boeker P, Wüst M, Leppert J. Simulation of gas chromatographic separations and estimation of distribution-centric retention parameters using linear solvation energy relationships. J Chromatogr A 2024; 1717:464665. [PMID: 38281342 DOI: 10.1016/j.chroma.2024.464665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/30/2024]
Abstract
For method development in gas chromatography, suitable computer simulations can be very helpful during the optimization process. For such computer simulations retention parameters are needed, that describe the interaction of the analytes with the stationary phase during the separation process. There are different approaches to describe such an interaction, e.g. thermodynamic models like Blumberg's distribution-centric 3-parameter model (K-centric model) or models using chemical properties like the Linear Solvation Energy Relationships (LSER). In this work LSER models for a Rxi-17Sil MS and a Rxi-5Sil MS GC column are developed for different temperatures. The influences of the temperature to the LSER system coefficients are shown in a range between 40 and 200 °C and can be described with Clark and Glew's ABC model as fit function. A thermodynamic interpretation of the system constants is given and its contribution to enthalpy and entropy is calculated. An estimation method for the retention parameters of the K-centric model via LSER models were presented. The predicted retention parameters for a selection of 172 various compounds, such as FAMEs, PCBs and PAHs are compared to isothermal determined values. 40 measurements of temperature programmed GC separations are compared to computer simulations using the differently determined or estimated K-centric retention parameters. The mean difference (RSME) between the measured and predicted retention time is less than 8 s for both stationary phases using the isothermal retention parameters. With the LSER predicted parameters the difference is 20 s for the Rxi-5Sil MS and 38 s for the Rxi-17Sil MS. Therefore, the presented estimation method can be recommended for first method development in gas chromatography.
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Affiliation(s)
- Tillman Brehmer
- University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11 - 13, 53115 Bonn, Germany.
| | - Benny Duong
- Hyperchrom GmbH Germany, Konrad-Zuse-Straße, 53115 Alfter, Germany
| | - Peter Boeker
- University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11 - 13, 53115 Bonn, Germany; Hyperchrom GmbH Germany, Konrad-Zuse-Straße, 53115 Alfter, Germany
| | - Matthias Wüst
- University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11 - 13, 53115 Bonn, Germany
| | - Jan Leppert
- University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11 - 13, 53115 Bonn, Germany.
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Kakanopas P, Janta P, Vimolmangkang S, Hermatasia F, Kulsing C. Retention Index Based Approach for Simulation of Results and Application for Validation of Compound Identification in Comprehensive Two-Dimensional Gas Chromatography. J Chromatogr A 2022; 1679:463394. [DOI: 10.1016/j.chroma.2022.463394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 10/16/2022]
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Boegelsack N, Hayes K, Sandau C, Withey JM, McMartin DW, O'Sullivan G. Method development for optimizing analysis of ignitable liquid residues using flow-modulated comprehensive two-dimensional gas chromatography. J Chromatogr A 2021; 1656:462495. [PMID: 34537663 DOI: 10.1016/j.chroma.2021.462495] [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: 05/24/2021] [Revised: 07/29/2021] [Accepted: 08/23/2021] [Indexed: 01/11/2023]
Abstract
The abundance and composition of matrix compounds in fire debris samples undergoing ignitable liquid residue analysis frequently leads to inconclusive results, which can be diminished by applying comprehensive two-dimensional gas chromatography (GC × GC). Method development must be undertaken to fully utilize the potential of GC × GC by maximizing separation space and resolution.. The three main areas to consider for method development are column selection, modulator settings and parameter optimization. Seven column combinations with different stationary phase chemistry, column dimensions and orthogonality were assessed for suitability based on target compound selectivity, retention, resolution, and peak shapes, as well as overall peak capacity and area use. Using Box-Behnken design of experimentation (DoE), the effect of modulator settings such as flow ratio and loop fill capacity were evaluated using carbon loading potential, dilution effect, as well as target peak amplitude and skewing effect. The run parameters explored for parameter optimization were oven programming, inlet pressure (column flow rate), and modulation period. Comparing DoE approaches, Box-Behnken and Doehlert designs assessed sensitivity, selectivity, peak capacity, and wraparound; alongside target peak retention, resolution, and shape evaluation. Certified reference standards and simulated wildfire debris were used for method development and verification, and wildfire debris case samples scrutinized for method validation. The final method employed a low polarity column (5% diphenyl) coupled to a semi-polar column (50% diphenyl) and resulted in an average Separation Number (SN) exceeding 1 in both dimensions after optimization. Separation Numbers of 18.16 for first and 1.46 for second dimension without wraparound for compounds with at least four aromatic rings signified successful separation of all target compounds from varied matrix compositions and allowed for easy visual comparison of extracted ion profiles. Mass spectrometry (MS) was required during validation to differentiate ions where no baseline separation between target compounds and extraneous matrix compounds was possible. The resulting method was evaluated against ASTM E1618 and found to be an ideal routine analysis method providing great resolution of target compounds from interferences and excellent potential for ILR classification within a complex sample matrix.
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Affiliation(s)
- Nadin Boegelsack
- Department of Earth and Environmental Sciences, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, AB Canada, T3E 6K6; Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK Canada, S7N 5A9.
| | - Kevin Hayes
- Department of Earth and Environmental Sciences, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, AB Canada, T3E 6K6; Manchester Metropolitan University, Ecology & Environment Research Centre, Chester Street, Manchester, U.K., M1 5GD
| | - Court Sandau
- Department of Earth and Environmental Sciences, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, AB Canada, T3E 6K6; Chemistry Matters Inc., 104-1240 Kensington Rd NW Suite 405, Calgary, AB Canada, T2N 3P7
| | - Jonathan M Withey
- Department of Chemistry and Physics, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, AB Canada, T3E 6K6
| | - Dena W McMartin
- Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK Canada, S7N 5A9
| | - Gwen O'Sullivan
- Department of Earth and Environmental Sciences, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, AB Canada, T3E 6K6
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Kadlecová Z, Kalíková K, Ansorge M, Gilar M, Tesařová E. The effect of particle and ligand types on retention and peak shape in liquid chromatography. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Amaral MSS, Nolvachai Y, Marriott PJ. Comprehensive Two-Dimensional Gas Chromatography Advances in Technology and Applications: Biennial Update. Anal Chem 2019; 92:85-104. [DOI: 10.1021/acs.analchem.9b05412] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Michelle S. S. Amaral
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Yada Nolvachai
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Philip J. Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
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Pojjanapornpun S, Kulsing C, Kakanopas P, Nolvachai Y, Aryusuk K, Krisnangkura K, Marriott PJ. Simulation of peak position and response profiles in comprehensive two-dimensional gas chromatography. J Chromatogr A 2019; 1607:460392. [DOI: 10.1016/j.chroma.2019.460392] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 07/04/2019] [Accepted: 07/21/2019] [Indexed: 10/26/2022]
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