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Rasmussen C, Hoffman D. Fingerprinting Organofluorine Molecules via Position-Specific Isotope Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39023375 DOI: 10.1021/acs.est.4c02250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Organofluorine substances are found in a wide range of materials and solvents commonly used in industry and homes, as well as pharmaceuticals and pesticides. In the environment, organofluorine molecules are now recognized as an important class of anthropogenic pollutants. Fingerprinting organofluorine compounds via their carbon isotope ratios (13C/12C) is crucial for correlating molecules with their source. Here we apply a 19F nuclear magnetic resonance spectroscopy (NMR) technique to obtain the first position-specific carbon isotope ratios for a diverse set of organofluorine molecules. In contrast to traditional isotope ratio mass spectrometry, the 19F NMR method provides 13C/12C isotope ratios at each carbon position where a C-F bond is present, and does not require fragmentation or combustion to CO2, overcoming challenges posed by the robust C-F covalent bonds. The method was validated with 2,2,2-trifluoroethanol, and applied to analyze heptafluorobutanoic acid, 5-fluorouracil and fipronil. Results reveal distinct intramolecular carbon isotope distributions, enabling differentiation of chemically identical molecules. Notably, the NMR method accurately analyzes carbon isotopes within target molecules despite impurities. Potential applications include the detection of counterfeit products and drugs, and ultimately pollution tracking in the environment.
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Affiliation(s)
- Cornelia Rasmussen
- Institute for Geophysics, The University of Texas at Austin, J. J. Pickle Research Campus, 10601 Exploration Way, Austin, Texas 78758, United States
| | - David Hoffman
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th Street, Austin, Texas 78712, United States
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Hoffman DW, Rasmussen C. Position-specific carbon stable isotope analysis of glyphosate: isotope fingerprinting of molecules within a mixture. Anal Bioanal Chem 2024; 416:3847-3856. [PMID: 38740591 DOI: 10.1007/s00216-024-05326-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/27/2024] [Accepted: 04/30/2024] [Indexed: 05/16/2024]
Abstract
Glyphosate [N-(phosphonomethyl) glycine] is a widely used herbicide and a molecule of interest in the environmental sciences, due to its global use in agriculture and its potential impact on ecosystems. This study presents the first position-specific carbon isotope (13C/12C) analyses of glyphosates from multiple sources. In contrast to traditional isotope ratio mass spectrometry (IRMS), position-specific analysis provides 13C/12C ratios at individual carbon atom positions within a molecule, rather than an average carbon isotope ratio across a mixture or a specific compound. In this work, glyphosate in commercial herbicides was analyzed with only minimal purification, using a nuclear magnetic resonance (NMR) spectroscopy method that detects 1H nuclei with bonds to either 13C or 12C, and isolates the signals of interest from other signals in the mixture. Results demonstrate that glyphosate from different sources can have significantly different intramolecular 13C/12C distributions, which were found to be spread over a wide range, with δ13C Vienna Peedee Belemnite (VPDB) values of -28.7 to -57.9‰. In each glyphosate, the carbon with a bond to the phosphorus atom was found to be depleted in 13C compared to the carbon at the C2 position, by 4 to 10‰. Aminomethylphosphonic acid (AMPA) was analyzed for method validation; AMPA contains only a single carbon position, so the 13C/12C results provided by the NMR method could be directly compared with traditional isotope ratio mass spectrometry. The glyphosate mixtures were also analyzed by IRMS to obtain their average 13C/12C ratios, for comparison with our position-specific results. This comparison revealed that the IRMS results significantly disguise the intramolecular isotope distribution. Finally, we introduce a 31P NMR method that can provide a position-specific 13C/12C ratio for carbon positions with a C-P chemical bond, and the results obtained by 1H and 31P for C3 carbon agree with one another within their analytical uncertainty. These analytical tools for position-specific carbon isotope analysis permit the isotopic fingerprinting of target molecules within a mixture, with potential applications in a range of fields, including the environmental sciences and chemical forensics.
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Affiliation(s)
- David W Hoffman
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th St., Austin, TX, 78712, USA.
| | - Cornelia Rasmussen
- Institute for Geophysics, The University of Texas at Austin, J. J. Pickle Research Campus, 10601 Exploration Way, Austin, TX, 78758, USA
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Renou S, Grand M, Daux V, Tcherkez G, Akoka S, Remaud G. NMR-Based Method for Intramolecular 13C Distribution at Natural Abundance Adapted to Small Amounts of Glucose. Anal Chem 2023. [PMID: 37413690 DOI: 10.1021/acs.analchem.2c05542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Quantitative nuclear magnetic resonance (NMR) for isotopic measurements, known as irm-NMR (isotope ratio measured by NMR), is well suited for the quantitation of 13C-isotopomers in position-specific isotope analysis and thus for measuring the carbon isotope composition (δ13C, mUr) in C-atom positions. Irm-NMR has already been used with glucose after derivatization to study sugar metabolism in plants. However, up to now, irm-NMR has exploited a "single-pulse" sequence and requires a relatively large amount of material and long experimental time, precluding many applications with biological tissues or extracts. To reduce the required amount of sample, we investigated the use of 2D-NMR analysis. We adapted and optimized the NMR sequence so as to be able to analyze a small amount (10 mg) of a glucose derivative (diacetonide glucofuranose, DAGF) with a precision better than 1 mUr at each C-atom position. We also set up a method to correct raw data and express 13C abundance on the usual δ13C scale (δ-scale). In fact, due to the distortion associated with polarization transfer and spin manipulation during 2D-NMR analyses, raw 13C abundance is found to be on an unusual scale. This was compensated for by a correction factor obtained via comparative analysis of a reference material (commercial DAGF) using both previous (single-pulse) and new (2D) sequences. Glucose from different biological origins (CO2 assimilation metabolisms of plants, namely, C3, C4, and CAM) was analyzed with the two sequences and compared. Validation criteria such as selectivity, limit of quantification, precision, trueness, and robustness are discussed, including in the framework of green analytical chemistry.
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Affiliation(s)
- Sophie Renou
- CEISAM, CNRS, Nantes Université, F-44322 Nantes, France
| | | | - Valérie Daux
- Laboratoire des Sciences du Climat et de l'Environnement, CEA - CNRS - UVSQ - Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Guillaume Tcherkez
- Research School of Biology, Australian National University, Acton, 2601 Canberra, ACT, Australia
- Institut de Recherche en Horticulture et Semences, Université d'Angers, INRAe, 42 rue Georges Morel, 49070 Beaucouzé, France
| | - Serge Akoka
- CEISAM, CNRS, Nantes Université, F-44322 Nantes, France
| | - Gérald Remaud
- CEISAM, CNRS, Nantes Université, F-44322 Nantes, France
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Rasmussen C, Hoffman DW. Novel Nuclear Magnetic Resonance Method for Position-Specific Carbon Isotope Analysis of Organic Molecules with Significant Impurities. Anal Chem 2022; 94:15124-15131. [PMID: 36265131 DOI: 10.1021/acs.analchem.2c03356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We introduce a novel nuclear magnetic resonance (NMR) tool for determining position-specific carbon (13C/12C) isotope ratios within complex organic molecules. This analytical advancement allows us to measure position-specific isotope ratios of samples that contain impurities with NMR peaks that overlap with the signals of interest. The method involves collecting a series of alternating 13C-coupled and 13C-decoupled 1H NMR spectra using an NMR pulse sequence designed to optimize temperature stability, followed by a data reduction scheme that allows the signals of interest to be isolated from signals of impurities. The method was validated using glycine reference materials with known 13C/12C ratios from the US Geological Survey (USGS) into which impurities typically found in amino acid samples were intentionally introduced. Following validation, the method was used to determine position-specific 13C/12C ratios in a set of USGS l-valine materials (USGS73, -74, -75) that contain significant impurities associated with their biological origin. The l-valines were found to contain distinct intramolecular isotope variability, and the 13Cα isotope spikes in USGS74 and USGS75 were clearly detected, where they preserve carbon isotope ratios of -4.8 ± 0.9‰ and +11.5 ± 0.8‰, respectively. Carbon isotope abundance at the beta and gamma positions indicates that the USGS73 l-valine was obtained from a different source than USGS74 and -75. This analytical approach is a significant step forward in the field of position-specific isotope analysis at natural abundance via NMR because it enables the investigation of samples that contain impurities which are typically present in samples derived from natural sources.
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Affiliation(s)
- Cornelia Rasmussen
- University of Texas Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, 10601 Exploration Way, Austin, Texas78758, United States
| | - David W Hoffman
- Department of Molecular Biosciences, College of Natural Science, University of Texas at Austin, 100 E 24th Street, Austin, Texas78712, United States
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Hoffman DW, Rasmussen C. Absolute Carbon Stable Isotope Ratio in the Vienna Peedee Belemnite Isotope Reference Determined by 1H NMR Spectroscopy. Anal Chem 2022; 94:5240-5247. [PMID: 35312289 DOI: 10.1021/acs.analchem.1c04565] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The Vienna Peedee Belemnite (VPDB) isotope reference defines the zero point of the carbon stable isotope scale that is used to describe the relative abundance of 13C and 12C. An accurate and precise characterization of this isotope reference is valuable for interlaboratory comparisons and conducting robust carbon stable isotope analyses in a vast array of fields, such as chemical forensics, (bio)geochemistry, ecology, or (astro)biology. Here, we report an absolute 13C/12C ratio for VPDB that has been obtained, for the first time, using proton nuclear magnetic resonance spectroscopy (1H NMR). Four different NMR instruments were used to determine 13C/12C ratios in a set of glycine reference materials from the US Geological Survey (USGS64, USGS65, and USGS66) and a set of formate samples that were characterized by isotope ratios mass spectrometry (IRMS). Intercalibration of the NMR-derived 13C/12C ratios with relative abundance (δ13CVPDB) measurements from IRMS yields a value of 0.011100 for the absolute 13C/12C ratio in VPDB, with an expanded uncertainty of ±0.000026 (2σ, n = 114). This is significantly different from the value of 0.011180 that is commonly used but falls within the range of values recently revised using IRMS and infrared absorption measurements. 1H NMR was found to be an effective method for measuring absolute 13C/12C ratios due to its ability to simultaneously detect signals associated with 12C and 13C. Results provide a new and independent measure of the carbon isotope composition of VPDB, improving our understanding of this important isotope reference.
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Affiliation(s)
- David W Hoffman
- Department of Molecular Biosciences, College of Natural Science, University of Texas at Austin, 100 East 24th St., Austin, Texas 78712, United States
| | - Cornelia Rasmussen
- University of Texas Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, 10601 Exploration Way, Austin, Texas 78758, United States
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