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Dumez JN. NMR methods for the analysis of mixtures. Chem Commun (Camb) 2022; 58:13855-13872. [PMID: 36458684 PMCID: PMC9753098 DOI: 10.1039/d2cc05053f] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/19/2022] [Indexed: 07/31/2023]
Abstract
NMR spectroscopy is a powerful approach for the analysis of mixtures. Its usefulness arises in large part from the vast landscape of methods, and corresponding pulse sequences, that have been and are being designed to tackle the specific properties of mixtures of small molecules. This feature article describes a selection of methods that aim to address the complexity, the low concentrations, and the changing nature that mixtures can display. These notably include pure-shift and diffusion NMR methods, hyperpolarisation methods, and fast 2D NMR methods such as ultrafast 2D NMR and non-uniform sampling. Examples or applications are also described, in fields such as reaction monitoring and metabolomics, to illustrate the relevance and limitations of different methods.
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Piersanti E, Righetti C, Ribeaucourt D, Simaan AJ, Mekmouche Y, Lafond M, Berrin JG, Tron T, Yemloul M. 2D and 3D maximum-quantum NMR and diffusion spectroscopy for the characterization of enzymatic reaction mixtures. Analyst 2022; 147:2515-2522. [DOI: 10.1039/d2an00200k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Using MaxQ-NMR, we characterized enzymatic reaction mixtures containing several compounds (substrate, final product, and various intermediates). This approach enables, in a first analytical step, the counting of the molecules present in the samples.
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Affiliation(s)
- Elena Piersanti
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - Claudio Righetti
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - David Ribeaucourt
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
- INRAE, Aix Marseille Univ, UMR1163 Biodiversité et Biotechnologie Fongiques, 13009, Marseille, France
- V. Mane Fils, 620 route de Grasse, 06620 Le Bar sur Loup, France
| | - A. Jalila Simaan
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - Yasmina Mekmouche
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - Mickael Lafond
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - Jean-Guy Berrin
- INRAE, Aix Marseille Univ, UMR1163 Biodiversité et Biotechnologie Fongiques, 13009, Marseille, France
| | - Thierry Tron
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
| | - Mehdi Yemloul
- Aix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France
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Lin M, Tang J, Ma S, Yu Y, Li G, Mai B, Fan R, An T. Simultaneous determination of polybrominated diphenyl ethers, polycyclic aromatic hydrocarbons and their hydroxylated metabolites in human hair: a potential methodology to distinguish external from internal exposure. Analyst 2019; 144:7227-7235. [DOI: 10.1039/c9an01359h] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A novel method is developed to simultaneously analyse multiple chemicals in human hair and to distinguish the internal from external exposure.
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Affiliation(s)
- Meiqing Lin
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
| | - Jian Tang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
| | - Shengtao Ma
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
| | - Yingxin Yu
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
| | - Guiying Li
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
| | - Bixian Mai
- State Key Laboratory of Organic Geochemistry
- Guangzhou Institute of Geochemistry
- Chinese Academy of Sciences
- Guangzhou
- China
| | - Ruifang Fan
- Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization
- School of Life Sciences
- South China Normal University
- China
| | - Taicheng An
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control
- School of Environmental Science and Engineering
- Institute of Environmental Health and Pollution Control
- Guangdong University of Technology
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Yemloul M, Adyatmika IM, Caldarelli S, Ollivier D, Campredon M. Rapid characterization of cocaine in illicit drug samples by 1D and 2D NMR spectroscopy. Anal Bioanal Chem 2018; 410:5237-5244. [DOI: 10.1007/s00216-018-1175-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 05/15/2018] [Accepted: 05/29/2018] [Indexed: 11/25/2022]
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Manjunatha Reddy GN, Mannina L, Sobolev AP, Caldarelli S. Polyphenols Fingerprinting in Olive Oils Through Maximum-Quantum NMR Spectroscopy. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-1069-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Manjunatha Reddy GN, Yemloul M, Caldarelli S. Combined maximum-quantum and DOSY 3D experiments provide enhanced resolution for small molecules in mixtures. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2017; 55:492-497. [PMID: 27452153 DOI: 10.1002/mrc.4465] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2015] [Revised: 05/16/2016] [Accepted: 05/25/2016] [Indexed: 06/06/2023]
Abstract
We illustrate here as the combination of high-order maximum-quantum (MaxQ) and Diffusion-Ordered SpectroscopY (DOSY) NMR experiments in a 3D layout allows superior resolution for crowded NMR spectra. Non-uniform sampling (NUS) allows compressing the experimental time effectively to reasonable durations. Because diffusion effects were encoded within multiple-quantum coherences, increased sensitivity to magnetic field gradients is observed, requiring compensation for convection effects. The experiment was demonstrated on the spectra of a mix of small polyaromatic molecules. Specifically, in the case analyzed, the experiment provided an extreme simplification through the MaxQDOSY-MaxQ projection plane that presents one peak per molecule. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- G N Manjunatha Reddy
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301 Avenue de la Terrasse, 91190, Gif-sur-Yvette, France
| | - Mehdi Yemloul
- Aix-Marseille Université, CNRS, Centrale Marseille, Institut des Sciences Moleculaires de Marseille, (iSm2, UMR 7313), 13397, Marseille, France
| | - Stefano Caldarelli
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301 Avenue de la Terrasse, 91190, Gif-sur-Yvette, France
- Aix-Marseille Université, CNRS, Centrale Marseille, Institut des Sciences Moleculaires de Marseille, (iSm2, UMR 7313), 13397, Marseille, France
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Köcher SS, Heydenreich T, Zhang Y, Reddy GNM, Caldarelli S, Yuan H, Glaser SJ. Time-optimal excitation of maximum quantum coherence: Physical limits and pulse sequences. J Chem Phys 2016; 144:164103. [DOI: 10.1063/1.4945781] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- S. S. Köcher
- Department of Chemistry, Technische Universität München, Lichtenbergstrasse 4, D-85747 Garching, Germany
- Institute of Energy and Climate Research (IEK-9), Forschungszentrum Jülich, D-52425 Jülich, Germany
| | - T. Heydenreich
- Department of Chemistry, Technische Universität München, Lichtenbergstrasse 4, D-85747 Garching, Germany
| | - Y. Zhang
- Department of Chemistry, Technische Universität München, Lichtenbergstrasse 4, D-85747 Garching, Germany
| | - G. N. M. Reddy
- Aix Marseille Université, Centrale Marseille, CNRS, iSm2 UMR 7313, 13397 Marseille, France
| | - S. Caldarelli
- Aix Marseille Université, Centrale Marseille, CNRS, iSm2 UMR 7313, 13397 Marseille, France
| | - H. Yuan
- Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - S. J. Glaser
- Department of Chemistry, Technische Universität München, Lichtenbergstrasse 4, D-85747 Garching, Germany
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Toumi I, Caldarelli S, Torrésani B. A review of blind source separation in NMR spectroscopy. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2014; 81:37-64. [PMID: 25142734 DOI: 10.1016/j.pnmrs.2014.06.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 06/12/2014] [Indexed: 05/22/2023]
Abstract
Fourier transform is the data processing naturally associated to most NMR experiments. Notable exceptions are Pulse Field Gradient and relaxation analysis, the structure of which is only partially suitable for FT. With the revamp of NMR of complex mixtures, fueled by analytical challenges such as metabolomics, alternative and more apt mathematical methods for data processing have been sought, with the aim of decomposing the NMR signal into simpler bits. Blind source separation is a very broad definition regrouping several classes of mathematical methods for complex signal decomposition that use no hypothesis on the form of the data. Developed outside NMR, these algorithms have been increasingly tested on spectra of mixtures. In this review, we shall provide an historical overview of the application of blind source separation methodologies to NMR, including methods specifically designed for the specificity of this spectroscopy.
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Affiliation(s)
- Ichrak Toumi
- Aix Marseille Université, Centrale Marseille, CNRS, iSm2 UMR 7313, 13397 Marseille, France
| | - Stefano Caldarelli
- Aix Marseille Université, Centrale Marseille, CNRS, iSm2 UMR 7313, 13397 Marseille, France.
| | - Bruno Torrésani
- Aix-Marseille Université, CNRS, Centrale Marseille I2M, UMR 7373, 13453 Marseille, France
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Manjunatha Reddy GN, Caldarelli S. Improved excitation uniformity in multiple-quantum NMR experiments of mixtures. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2013; 51:240-244. [PMID: 23426858 DOI: 10.1002/mrc.3938] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2012] [Revised: 01/02/2013] [Accepted: 01/16/2013] [Indexed: 06/01/2023]
Abstract
Multiple-quantum (1)H NMR spectroscopy has been finding a renewed interest for its possible applications in the analysis of mixtures of small molecules, due to its simplification properties. A crucial aspect of this application of multiple-quantum NMR is the sensitivity of the spectrum intensity to the molecular structure and to the parameterization of the experiment, which could result in the missing of some components. We demonstrate that a general scheme to overcome this drawback consists in varying the experiment parameterizations over a small number of values, selected according the values of the couplings and the relaxation rates.
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Affiliation(s)
- G N Manjunatha Reddy
- ISm2 UMR 7313Aix, Marseille Université, Campus de Saint Jérôme, Service 51213013 Marseille, France
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