1
|
Chen T, Le Bizec B, Dervilly G. Anabolic steroids in livestock production: Background and implications for chemical food safety. Steroids 2024; 206:109420. [PMID: 38580048 DOI: 10.1016/j.steroids.2024.109420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
The use of steroids in livestock animals is a source of concern for consumers because of the risks associated with the presence of their residues in foodstuffs of animal origin. Technological advances such as mass spectrometry have made it possible to play a fundamental role in controlling such practices, firstly for the discovery of marker metabolites but also for the monitoring of these compounds under the regulatory framework. Current control strategies rely on the monitoring of either the parent drug or its metabolites in various matrices of interest. As some of these steroids also have an endogenous status specific strategies have to be applied for control purposes. This review aims to provide a comprehensive and up-to-date knowledge of analytical strategies, whether targeted or non-targeted, and whether they focus on markers of exposure or effect in the specific context of chemical food safety regarding the use of anabolic steroids in livestock. The role of new approaches in data acquisition (e.g. ion mobility), processing and analysis, (e.g. molecular networking), is also discussed.
Collapse
Affiliation(s)
- Ting Chen
- Oniris, INRAE, LABERCA, Nantes 44300, France
| | | | | |
Collapse
|
2
|
Xu Y, Dong X, Qin C, Wang F, Cao W, Li J, Yu Y, Zhao L, Tan F, Chen W, Li N, He J. Metabolic biomarkers in lung cancer screening and early diagnosis (Review). Oncol Lett 2023; 25:265. [PMID: 37216157 PMCID: PMC10193366 DOI: 10.3892/ol.2023.13851] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 03/29/2023] [Indexed: 05/24/2023] Open
Abstract
Late diagnosis is one of the major contributing factors to the high mortality rate of lung cancer, which is now the leading cause of cancer-associated mortality worldwide. At present, low-dose CT (LDCT) screening in the high-risk population, in which lung cancer incidence is higher than that of the low-risk population is the predominant diagnostic strategy. Although this has efficiently reduced lung cancer mortality in large randomized trials, LDCT screening has high false-positive rates, resulting in excessive subsequent follow-up procedures and radiation exposure. Complementation of LDCT examination with biofluid-based biomarkers has been documented to increase efficacy, and this type of preliminary screening can potentially reduce potential radioactive damage to low-risk populations and the burden of hospital resources. Several molecular signatures based on components of the biofluid metabolome that can possibly discriminate patients with lung cancer from healthy individuals have been proposed over the past two decades. In the present review, advancements in currently available technologies in metabolomics were reviewed, with particular focus on their possible application in lung cancer screening and early detection.
Collapse
Affiliation(s)
- Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Chao Qin
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Jiang Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Yiwen Yu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| |
Collapse
|
3
|
Abd Rahman MR, Hassan Z, Hassan MS, Hashim R, Wong LS, Leong WY, Syd Jaafar SH, Salvamani S. Enhanced Goat Milk MUFA Quality via Date Pit Supplementation: A Time-Based Pattern Recognition Analysis Utilizing Agricultural Waste Byproduct. INTERNATIONAL JOURNAL OF FOOD SCIENCE 2023; 2023:1797017. [PMID: 37350796 PMCID: PMC10284659 DOI: 10.1155/2023/1797017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 06/24/2023]
Abstract
Date pits are agricultural waste byproducts and are available in tons yearly. Milk MUFAs are lipids beneficial for health and sorted out for food product development. This work is aimed at researching the effect of supplementing dairy goats with date pit powder (DPP) as a source of fatty acids (FA), an alternative to enhancing the unsaturated FA in milk and analysed via chemometrics in a 3-month supplementation-based study. Saanen-Boer crossed dairy goats were divided into six groups comprising of control, 10 g and 20 g both for Ajwa DPP (high-quality dates) and Mariami DPP (agricultural waste byproduct), and another 30 g for Mariami DPP only. The supplementation exercise was done daily on each dairy goat. The DPP and milk samples were analysed for its FA profile applying GC-FID and followed by chemometric techniques, namely, PCA and PLS. Results indicated that the n-6/n-3 ratio was the highest for the unsupplemented group compared to the DPP-treated goats with lower n-6/n-3 ratios. The M30 group showcased the most promising health-related class of FAs viewed by 3D PCA and PLS model clustering patterns, in particular monounsaturated FA (MUFA) (C18:1n9c or oleic acid). These results suggest that Mariami DPP supplementation at higher doses and time to lactating Saanen-Boer cross goats can be a means to milk FA quantity and quality enhancement and that chemometrics via pattern recognition can be useful statistical tools when dealing with overwhelming data.
Collapse
Affiliation(s)
- M. R. Abd Rahman
- Faculty of Health and Life Sciences, INTI International University, Persiaran Perdana Bandar Baru Nilai, Putra Nilai, 71800 Nilai, N. Sembilan, Malaysia
- Department of Food Biotechnology, Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Z. Hassan
- Department of Food Biotechnology, Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - M. S. Hassan
- Department of Industrial Chemistry, Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - R. Hashim
- Department of Food Biotechnology, Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - L. S. Wong
- Faculty of Health and Life Sciences, INTI International University, Persiaran Perdana Bandar Baru Nilai, Putra Nilai, 71800 Nilai, N. Sembilan, Malaysia
| | - W. Y. Leong
- Faculty of Health and Life Sciences, INTI International University, Persiaran Perdana Bandar Baru Nilai, Putra Nilai, 71800 Nilai, N. Sembilan, Malaysia
| | - S. H. Syd Jaafar
- Department of Food Biotechnology, Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - S. Salvamani
- School of Health Sciences, International Medical University, Bukit Jalil, 57000 Kuala Lumpur, Malaysia
| |
Collapse
|
4
|
From targeted methods to metabolomics based strategies to screen for growth promoters misuse in horseracing and livestock: A review. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
|
5
|
Jongedijk E, Fifeik M, Arrizabalaga-Larrañaga A, Polzer J, Blokland M, Sterk S. Use of high-resolution mass spectrometry for veterinary drug multi-residue analysis. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
6
|
Keen B, Cawley A, Reedy B, Fu S. Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues. Drug Test Anal 2022; 14:794-807. [PMID: 35194967 PMCID: PMC9544538 DOI: 10.1002/dta.3245] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 11/29/2022]
Abstract
Metabolomics is a multidisciplinary field providing workflows for complementary approaches to conventional analytical determinations. It allows for the study of metabolically related groups of compounds or even the study of novel pathways within the biological system. The procedural stages of metabolomics; experimental design, sample preparation, analytical determinations, data processing and statistical analysis, compound identification and validation strategies are explored in this review. The selected approach will depend on the type of study being conducted. Experimental design influences the whole metabolomics workflow and thus needs to be properly assessed to ensure sufficient sample size, minimal introduced and biological variation and appropriate statistical power. Sample preparation needs to be simple, yet potentially global in order to detect as many compounds as possible. Analytical determinations need to be optimised either for the list of targeted compounds or a universal approach. Data processing and statistical analysis approaches vary widely and need to be better harmonised for review and interpretation. This includes validation strategies that are currently deficient in many presented workflows. Common compound identification approaches have been explored in this review. Metabolomics applications are discussed for clinical and forensic toxicology, human and equine sports anti-doping and veterinary residues.
Collapse
Affiliation(s)
- Bethany Keen
- Centre for Forensic ScienceUniversity of Technology SydneyBroadwayNew South WalesAustralia
| | - Adam Cawley
- Australian Racing Forensic LaboratoryRacing NSWSydneyNew South WalesAustralia
| | - Brian Reedy
- School of Mathematical and Physical SciencesUniversity of Technology SydneyBroadwayNew South WalesAustralia
| | - Shanlin Fu
- Centre for Forensic ScienceUniversity of Technology SydneyBroadwayNew South WalesAustralia
| |
Collapse
|
7
|
Omics applications in the fight against abuse of anabolic substances in cattle: challenges, perspectives and opportunities. Curr Opin Food Sci 2021. [DOI: 10.1016/j.cofs.2021.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
8
|
Ouzia S, Royer AL, Pezzolato M, Benedetto A, Biasibetti E, Guitton Y, Le Bizec B, Bozetta E, Dervilly G. Nandrolone and estradiol biomarkers identification in bovine urine applying a liquid chromatography high-resolution mass spectrometry metabolomics approach. Drug Test Anal 2021; 14:879-886. [PMID: 34242491 DOI: 10.1002/dta.3126] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/14/2021] [Accepted: 07/07/2021] [Indexed: 11/08/2022]
Abstract
With the aim of specifically investigating patterns associated with three steroid treatments (17β-nandrolone, 17β-estradiol, and 17β-nandrolone + 17β-estradiol) in bovine, an reversed phase liquid chromatography (RPLC)-electrospray ionization (ESI)(+/-)-high-resolution mass spectrometry (HRMS) study was conducted to characterize the urinary profiles of involved animals. Although specific fingerprints with strong differences could be highlighted between urinary metabolite profiles within urine samples collected on control and treated animals, it appeared further that significant discriminations could also be observed between steroid treatments, evidencing thus specific patterns and candidate biomarkers associated to each treatment. An MS-2 structural elucidation step enabled level-1 identification of two biomarkers mainly involved in energy pathways, in relation to skeletal muscle functioning. These results make it possible to envisage a global strategy for the detection of anabolic practices involving steroids, while at the same time providing clues as to the compounds used, which would facilitate the confirmation stage to follow.
Collapse
Affiliation(s)
| | | | - Marzia Pezzolato
- Centro di Referenza Nazionale Indagini Biologiche Anabolizzanti Animali - CIBA, Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d'Aosta, Torino, Italy
| | - Alessandro Benedetto
- Centro di Referenza Nazionale Indagini Biologiche Anabolizzanti Animali - CIBA, Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d'Aosta, Torino, Italy
| | - Elena Biasibetti
- Centro di Referenza Nazionale Indagini Biologiche Anabolizzanti Animali - CIBA, Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d'Aosta, Torino, Italy
| | | | | | - Elena Bozetta
- Centro di Referenza Nazionale Indagini Biologiche Anabolizzanti Animali - CIBA, Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d'Aosta, Torino, Italy
| | | |
Collapse
|
9
|
Marchand J, Guitton Y, Martineau E, Royer AL, Balgoma D, Le Bizec B, Giraudeau P, Dervilly G. Extending the Lipidome Coverage by Combining Different Mass Spectrometric Platforms: An Innovative Strategy to Answer Chemical Food Safety Issues. Foods 2021; 10:foods10061218. [PMID: 34071212 PMCID: PMC8230090 DOI: 10.3390/foods10061218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/20/2021] [Accepted: 05/22/2021] [Indexed: 01/30/2023] Open
Abstract
From a general public health perspective, a strategy combining non-targeted and targeted lipidomics MS-based approaches is proposed to identify disrupted patterns in serum lipidome upon growth promoter treatment in pigs. Evaluating the relative contributions of the platforms involved, the study aims at investigating the potential of innovative analytical approaches to highlight potential chemical food safety threats. Serum samples collected during an animal experiment involving control and treated pigs, whose food had been supplemented with ractopamine, were extracted and characterised using three MS strategies: Non-targeted RP LC-HRMS; the targeted Lipidyzer™ platform (differential ion mobility associated with shotgun lipidomics) and a homemade LC-HRMS triglyceride platform. The strategy enabled highlighting specific lipid profile patterns involving various lipid classes, mainly in relation to cholesterol esters, sphingomyelins, lactosylceramide, phosphatidylcholines and triglycerides. Thanks to the combination of non-targeted and targeted MS approaches, various compartments of the pig serum lipidome could be explored, including commonly characterised lipids (Lipidyzer™), triglyceride isomers (Triglyceride platform) and unique lipid features (non-targeted LC-HRMS). Thanks to their respective characteristics, the complementarity of the three tools could be demonstrated for public health purposes, with enhanced coverage, level of characterization and applicability.
Collapse
Affiliation(s)
- Jérémy Marchand
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
- CEISAM UMR 6230, Université de Nantes, CNRS, 44000 Nantes, France;
| | - Yann Guitton
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
| | - Estelle Martineau
- CEISAM UMR 6230, Université de Nantes, CNRS, 44000 Nantes, France;
- SpectroMaîtrise, CAPACITES SAS, 26 Bd Vincent Gâche, 44200 Nantes, France
| | - Anne-Lise Royer
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
| | - David Balgoma
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
| | - Bruno Le Bizec
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
| | - Patrick Giraudeau
- CEISAM UMR 6230, Université de Nantes, CNRS, 44000 Nantes, France;
- Correspondence: (P.G.); (G.D.); Tel.: +33-251125709 (P.G.); +33-240687880 (G.D.)
| | - Gaud Dervilly
- LABERCA, Oniris, INRAE, 44307 Nantes, France; (J.M.); (Y.G.); (A.-L.R.); (D.B.); (B.L.B.)
- Correspondence: (P.G.); (G.D.); Tel.: +33-251125709 (P.G.); +33-240687880 (G.D.)
| |
Collapse
|
10
|
Stella R, Bovo D, Mastrorilli E, Manuali E, Pezzolato M, Bozzetta E, Lega F, Angeletti R, Biancotto G. A novel tool to screen for treatments with clenbuterol in bovine: Identification of two hepatic markers by metabolomics investigation. Food Chem 2021; 353:129366. [PMID: 33838430 DOI: 10.1016/j.foodchem.2021.129366] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/10/2021] [Accepted: 02/11/2021] [Indexed: 11/29/2022]
Abstract
Surveillance of illegal use of growth promoters such as β2-agonists in food producing animals rely on the detection of drug residues by LC-MS/MS. Screening strategies focusing on indirect physiological responses following administration of active compounds are promising approaches to strengthen existing targeted methods and ensure food safety. A metabolomics analysis based on LC-HRMS was carried out on liver extracts from bulls experimentally treated with clenbuterol combined with dexamethasone (n = 8) to mimic a potential anabolic practice, and control animals (n = 8). Nicotinic acid and 5'-deoxy-5'-methylthioadenosine were identified as biomarkers of treatment. Ratio values of such markers to others of the same metabolic pathways (nicotinamide or methionine) were used to develop a classification model to assign animals as treated with clenbuterol or non-treated. The classification model was tested on an external validation set comprising 74 animals either treated with different anabolic compounds (β2-agonists, sexual steroids, corticosteroid), or non-treated, showing 100% sensitivity and specificity.
Collapse
Affiliation(s)
- Roberto Stella
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Chemistry, Legnaro (PD), Italy.
| | - Davide Bovo
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Chemistry, Legnaro (PD), Italy
| | - Eleonora Mastrorilli
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Food Safety, Legnaro (PD), Italy; European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Elisabetta Manuali
- Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", Perugia, Italy
| | - Marzia Pezzolato
- Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy
| | - Elena Bozzetta
- Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy
| | - Francesca Lega
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Chemistry, Legnaro (PD), Italy
| | - Roberto Angeletti
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Chemistry, Legnaro (PD), Italy
| | - Giancarlo Biancotto
- Istituto Zooprofilattico Sperimentale delle Venezie, Department of Chemistry, Legnaro (PD), Italy
| |
Collapse
|
11
|
Bonilauri B, Dallagiovanna B. Linking long noncoding RNAs (lncRNAs) and doping detection. Drug Test Anal 2020; 13:1068-1071. [PMID: 33119947 DOI: 10.1002/dta.2952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/15/2020] [Accepted: 10/18/2020] [Indexed: 12/21/2022]
Abstract
In the fight against doping, efficient methods for detecting substances or biomarkers are still being improved. Indirect methods are an interesting alternative for the detection of substances misuse longitudinally. Here we shed lights the long non-coding RNAs (lncRNAs) as a possible biomarkers due to their characteristics such as tissue-specific expression and strict regulation.
Collapse
Affiliation(s)
- Bernardo Bonilauri
- Laboratory of Basic Biology of Stem Cells (LABCET), Carlos Chagas Institute-FIOCRUZ-PR, Curitiba, Paraná, Brazil
| | - Bruno Dallagiovanna
- Laboratory of Basic Biology of Stem Cells (LABCET), Carlos Chagas Institute-FIOCRUZ-PR, Curitiba, Paraná, Brazil
| |
Collapse
|
12
|
Ross A, Brunius C, Chevallier O, Dervilly G, Elliott C, Guitton Y, Prenni JE, Savolainen O, Hemeryck L, Vidkjær NH, Scollan N, Stead SL, Zhang R, Vanhaecke L. Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to measuring meat quality and fraud. Meat Sci 2020; 181:108333. [PMID: 33067082 DOI: 10.1016/j.meatsci.2020.108333] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/01/2020] [Accepted: 10/05/2020] [Indexed: 12/31/2022]
Abstract
Increasing demands are being placed on meat producers to verify more about their product with regards to safety, quality and authenticity. There are many methods that can detect aspects of these parameters in meat, yet most are too slow to keep up with the demands of modern meat processing plants and supply chains. A new technology, Rapid Evaporative Ionisation Mass Spectrometry (REIMS), has the potential to bridge the gap between advanced laboratory measurements and technology that can screen for quality, safety and authenticity parameters in a single measurement. Analysis with REIMS generates a detailed mass spectral fingerprint representative of a meat sample without the need for sample processing. REIMS has successfully been used to detect species fraud, detect use of hormones in meat animals, monitor meat processing and to detect off flavours such as boar taint. The aim of this review is to summarize these and other applications to highlight the potential of REIMS for meat analysis. Sampling methods and important considerations for data analysis are discussed as well as limitations of the technology and remaining challenges for practical adoption.
Collapse
Affiliation(s)
- Alastair Ross
- Food and Biobased Products Group, AgResearch, Lincoln, New Zealand.
| | - Carl Brunius
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Sweden.
| | | | | | | | | | - Jessica E Prenni
- Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA.
| | - Otto Savolainen
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science and Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, Sweden.
| | | | - Nanna Hjort Vidkjær
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Sweden.
| | - Nigel Scollan
- Queen's University Belfast, Belfast, United Kingdom.
| | - Sara L Stead
- Scientific Operations, Waters Corporation, Wilmslow, UK.
| | - Renyu Zhang
- Food & Bio-based Products, AgResearch, Palmerston North, New Zealand.
| | - Lynn Vanhaecke
- Ghent University, Laboratory of Chemical Analysis, Belgium.
| |
Collapse
|
13
|
Profiling of Metabolomic Changes in Plasma and Urine of Pigs Caused by Illegal Administration of Testosterone Esters. Metabolites 2020; 10:metabo10080307. [PMID: 32727023 PMCID: PMC7463996 DOI: 10.3390/metabo10080307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/02/2020] [Accepted: 07/06/2020] [Indexed: 01/20/2023] Open
Abstract
The use of anabolic steroid hormones as growth promoters in feed for farm animals has been banned in the European Union since 1988 on the basis of Council Directive 96/22/EC. However, there is still ongoing monitoring and reporting of positive findings of these banned substances in EU countries. The aim of this work was to investigate the efficacy and discriminatory ability of metabolic fingerprinting after the administration of 17β-testosterone esters to pigs. Plasma and urine samples were chromatographically separated on a Hypersil Gold C18 column. High resolution mass spectrometry metabolomic fingerprints were analysed on a hybrid mass spectrometer Q-Exactive. Three independent multivariate statistical methods, namely principal component analysis, clustre analysis, and orthogonal partial least squares discriminant analysis showed significant differences between the treated and control groups of pigs even 14 days after the administration of the hormonal drug. Plasma samples were also analysed by a conventional quantitative analysis using liquid chromatography with tandem mass spectrometry and a pharmacokinetic curve was constructed based on the results. In this case, no testosterone residue was detected 14 days after the administration. The results clearly showed that a metabolomics approach can be a useful and effective tool for the detection and monitoring of banned anabolic steroids used illegally in pig fattening.
Collapse
|
14
|
Narduzzi L, Dervilly G, Audran M, Le Bizec B, Buisson C. A role for metabolomics in the antidoping toolbox? Drug Test Anal 2020; 12:677-690. [DOI: 10.1002/dta.2788] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/30/2020] [Accepted: 03/05/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Luca Narduzzi
- Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA)Oniris, INRAE Nantes France
| | - Gaud Dervilly
- Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA)Oniris, INRAE Nantes France
| | - Michel Audran
- Département des analysesAgence Française de Lutte contre le Dopage (AFLD) Châtenay‐Malabry France
| | - Bruno Le Bizec
- Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA)Oniris, INRAE Nantes France
| | - Corinne Buisson
- Département des analysesAgence Française de Lutte contre le Dopage (AFLD) Châtenay‐Malabry France
| |
Collapse
|
15
|
A Contribution to the Harmonization of Non-targeted NMR Methods for Data-Driven Food Authenticity Assessment. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01664-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
|
16
|
Aszyk J, Byliński H, Namieśnik J, Kot-Wasik A. Main strategies, analytical trends and challenges in LC-MS and ambient mass spectrometry–based metabolomics. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.09.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
17
|
Dervilly-Pinel G, Royer AL, Bozzetta E, Pezzolato M, Herpin L, Prevost S, Le Bizec B. When LC-HRMS metabolomics gets ISO17025 accredited and ready for official controls – application to the screening of forbidden compounds in livestock. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2018; 35:1948-1958. [DOI: 10.1080/19440049.2018.1496280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
| | - Anne-Lise Royer
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
| | - Elena Bozzetta
- Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Torino, Italy
| | - Marzia Pezzolato
- Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Torino, Italy
| | - Loïc Herpin
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
| | | | - Bruno Le Bizec
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
| |
Collapse
|
18
|
Marchand J, Martineau E, Guitton Y, Le Bizec B, Dervilly-Pinel G, Giraudeau P. A multidimensional 1H NMR lipidomics workflow to address chemical food safety issues. Metabolomics 2018; 14:60. [PMID: 30830413 DOI: 10.1007/s11306-018-1360-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 04/09/2018] [Indexed: 10/17/2022]
Abstract
INTRODUCTION Although it is still at a very early stage compared to its mass spectrometry (MS) counterpart, proton nuclear magnetic resonance (NMR) lipidomics is worth being investigated as an original and complementary solution for lipidomics. Dedicated sample preparation protocols and adapted data acquisition methods have to be developed to set up an NMR lipidomics workflow; in particular, the considerable overlap observed for lipid signals on 1D spectra may hamper its applicability. OBJECTIVES The study describes the development of a complete proton NMR lipidomics workflow for application to serum fingerprinting. It includes the assessment of fast 2D NMR strategies, which, besides reducing signal overlap by spreading the signals along a second dimension, offer compatibility with the high-throughput requirements of food quality characterization. METHOD The robustness of the developed sample preparation protocol is assessed in terms of repeatability and ability to provide informative fingerprints; further, different NMR acquisition schemes-including classical 1D, fast 2D based on non-uniform sampling or ultrafast schemes-are evaluated and compared. Finally, as a proof of concept, the developed workflow is applied to characterize lipid profiles disruption in serum from β-agonists diet fed pigs. RESULTS Our results show the ability of the workflow to discriminate efficiently sample groups based on their lipidic profile, while using fast 2D NMR methods in an automated acquisition framework. CONCLUSION This work demonstrates the potential of fast multidimensional 1H NMR-suited with an appropriate sample preparation-for lipidomics fingerprinting as well as its applicability to address chemical food safety issues.
Collapse
Affiliation(s)
- Jérémy Marchand
- EBSI Team, Chimie et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes, CNRS, UMR 6230, BP 92208, 2 rue de la Houssinière, 44322, Nantes, France
- Laberca, Oniris, INRA, Université Bretagne Loire, 44307, Nantes, France
| | - Estelle Martineau
- EBSI Team, Chimie et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes, CNRS, UMR 6230, BP 92208, 2 rue de la Houssinière, 44322, Nantes, France
- SpectroMaitrise, CAPACITES SAS, 26 Bd Vincent Gâche, 44200, Nantes, France
| | - Yann Guitton
- Laberca, Oniris, INRA, Université Bretagne Loire, 44307, Nantes, France
| | - Bruno Le Bizec
- Laberca, Oniris, INRA, Université Bretagne Loire, 44307, Nantes, France
| | | | - Patrick Giraudeau
- EBSI Team, Chimie et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes, CNRS, UMR 6230, BP 92208, 2 rue de la Houssinière, 44322, Nantes, France.
- Institut Universitaire de France, 1 rue Descartes, 75005, Paris Cedex 05, France.
| |
Collapse
|
19
|
Kinkead RA, Elliott CT, Cannizzo FT, Biolatti B, Gadaj A, Mooney MH. Plasma metabolomic profiling based detection of drug specific responses to different bovine growth promoting regimes. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.10.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
20
|
Guitton Y, Dervilly-Pinel G, Jandova R, Stead S, Takats Z, Le Bizec B. Rapid evaporative ionisation mass spectrometry and chemometrics for high-throughput screening of growth promoters in meat producing animals. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2018; 35:900-910. [DOI: 10.1080/19440049.2017.1421778] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Yann Guitton
- LUNAM Université, Oniris, Laboratoire d’Étude des Résidus et Contaminants dans les Aliments (LABERCA), Nantes, France
| | - Gaud Dervilly-Pinel
- LUNAM Université, Oniris, Laboratoire d’Étude des Résidus et Contaminants dans les Aliments (LABERCA), Nantes, France
| | | | - Sara Stead
- UMR INRA 1329, Waters Corporation, Wilmslow, UK
| | - Zoltan Takats
- Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Bruno Le Bizec
- LUNAM Université, Oniris, Laboratoire d’Étude des Résidus et Contaminants dans les Aliments (LABERCA), Nantes, France
| |
Collapse
|
21
|
Zhang K, Tang C, Liang X, Zhao Q, Zhang J. Isobaric Tags for Relative and Absolute Quantification (iTRAQ)-Based Untargeted Quantitative Proteomic Approach To Identify Change of the Plasma Proteins by Salbutamol Abuse in Beef Cattle. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:378-386. [PMID: 29240408 DOI: 10.1021/acs.jafc.7b04397] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Salbutamol, a selective β2-agonist, endangers the safety of animal products as a result of illegal use in food animals. In this study, an iTRAQ-based untargeted quantitative proteomic approach was applied to screen potential protein biomarkers in plasma of cattle before and after treatment with salbutamol for 21 days. A total of 62 plasma proteins were significantly affected by salbutamol treatment, which can be used as potential biomarkers to screen for the illegal use of salbutamol in beef cattle. Enzyme-linked immunosorbent assay measurements of five selected proteins demonstrated the reliability of iTRAQ-based proteomics in screening of candidate biomarkers among the plasma proteins. The plasma samples collected before and after salbutamol treatment were well-separated by principal component analysis (PCA) using the differentially expressed proteins. These results suggested that an iTRAQ-based untargeted quantitative proteomic strategy combined with PCA pattern recognition methods can discriminate differences in plasma protein profiles collected before and after salbutamol treatment.
Collapse
Affiliation(s)
- Kai Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193, People's Republic of China
- Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China, Ministry of Agriculture , Beijing 100125, People's Republic of China
| | - Chaohua Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193, People's Republic of China
- Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China, Ministry of Agriculture , Beijing 100125, People's Republic of China
| | - Xiaowei Liang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193, People's Republic of China
- Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China, Ministry of Agriculture , Beijing 100125, People's Republic of China
| | - Qingyu Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193, People's Republic of China
- Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China, Ministry of Agriculture , Beijing 100125, People's Republic of China
| | - Junmin Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193, People's Republic of China
- Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China, Ministry of Agriculture , Beijing 100125, People's Republic of China
| |
Collapse
|
22
|
Cesbron N, Sydor A, Penot M, Prevost S, Le Bizec B, Dervilly-Pinel G. Analytical strategies to detect enobosarm administration in bovines. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2016; 34:632-640. [DOI: 10.1080/19440049.2016.1258122] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Nora Cesbron
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| | - Alexandre Sydor
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| | - Mylène Penot
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| | - Stéphanie Prevost
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| | - Bruno Le Bizec
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| | - Gaud Dervilly-Pinel
- LaBoratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, Nantes, France
| |
Collapse
|
23
|
Frédérich M, Pirotte B, Fillet M, de Tullio P. Metabolomics as a Challenging Approach for Medicinal Chemistry and Personalized Medicine. J Med Chem 2016; 59:8649-8666. [PMID: 27295417 DOI: 10.1021/acs.jmedchem.5b01335] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
"Omics" sciences have been developed to provide a holistic point of view of biology and to better understand the complexity of an organism as a whole. These systems biology approaches can be examined at different levels, starting from the most fundamental, i.e., the genome, and finishing with the most functional, i.e., the metabolome. Similar to how genomics is applied to the exploration of DNA, metabolomics is the qualitative and quantitative study of metabolites. This emerging field is clearly linked to genomics, transcriptomics, and proteomics. In addition, metabolomics provides a unique and direct vision of the functional outcome of an organism's activities that are required for it to survive, grow, and respond to internal and external stimuli or stress, e.g., pathologies and drugs. The links between metabolic changes, patient phenotype, physiological and/or pathological status, and treatment are now well established and have opened a new area for the application of metabolomics in the drug discovery process and in personalized medicine.
Collapse
Affiliation(s)
- Michel Frédérich
- Laboratory of Pharmacognosy, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Bernard Pirotte
- Laboratory of Medicinal Chemistry, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Marianne Fillet
- Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Pascal de Tullio
- Laboratory of Medicinal Chemistry, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| |
Collapse
|
24
|
Tang C, Zhang K, Liang X, Zhao Q, Zhang J. Application of a NMR-based untargeted quantitative metabonomic approach to screen for illicit salbutamol administration in cattle. Anal Bioanal Chem 2016; 408:4777-83. [DOI: 10.1007/s00216-016-9571-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 04/11/2016] [Accepted: 04/15/2016] [Indexed: 12/15/2022]
|
25
|
Abstract
This review aims to describe the most significant applications of mass spectrometry-based metabolomics in the field of chemical food safety. A particular discussion of all the different analytical steps involved in the metabolomics workflow (sample preparation, mass spectrometry analytical platform and data processing) will be addressed.
Collapse
|
26
|
Courant F, Antignac JP, Dervilly-Pinel G, Le Bizec B. Basics of mass spectrometry based metabolomics. Proteomics 2014; 14:2369-88. [PMID: 25168716 DOI: 10.1002/pmic.201400255] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Revised: 07/18/2014] [Accepted: 08/26/2014] [Indexed: 11/08/2022]
Abstract
The emerging field of metabolomics, aiming to characterize small molecule metabolites present in biological systems, promises immense potential for different areas such as medicine, environmental sciences, agronomy, etc. The purpose of this article is to guide the reader through the history of the field, then through the main steps of the metabolomics workflow, from study design to structure elucidation, and help the reader to understand the key phases of a metabolomics investigation and the rationale underlying the protocols and techniques used. This article is not intended to give standard operating procedures as several papers related to this topic were already provided, but is designed as a tutorial aiming to help beginners understand the concept and challenges of MS-based metabolomics. A real case example is taken from the literature to illustrate the application of the metabolomics approach in the field of doping analysis. Challenges and limitations of the approach are then discussed along with future directions in research to cope with these limitations. This tutorial is part of the International Proteomics Tutorial Programme (IPTP18).
Collapse
Affiliation(s)
- Frédérique Courant
- Department of Environmental Sciences and Public Health, University of Montpellier 1, UMR 5569 Hydrosciences, Montpellier, France; Laboratoire d'Etude des Résidus et Contaminants dans les Aliments (LABERCA), LUNAM Université Oniris, USC INRA 1329, Nantes, France
| | | | | | | |
Collapse
|
27
|
Riedmaier I, Spornraft M, Pfaffl MW. Identification of a potential gene expression biomarker signature in bovine liver to detect the abuse of growth promoters. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2014; 31:641-9. [DOI: 10.1080/19440049.2014.886341] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
28
|
Dervilly-Pinel G, Prévost S, Monteau F, Le Bizec B. Analytical strategies to detect use of recombinant bovine somatotropin in food-producing animals. Trends Analyt Chem 2014. [DOI: 10.1016/j.trac.2013.08.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
29
|
Cannizzo F, Pegolo S, Starvaggi Cucuzza L, Bargelloni L, Divari S, Franch R, Castagnaro M, Biolatti B. Gene expression profiling of thymus in beef cattle treated with prednisolone. Res Vet Sci 2013; 95:540-7. [DOI: 10.1016/j.rvsc.2013.03.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2012] [Revised: 03/12/2013] [Accepted: 03/30/2013] [Indexed: 12/18/2022]
|
30
|
Janssens G, Mangelinckx S, Courtheyn D, Prévost S, De Poorter G, De Kimpe N, Le Bizec B. Application of gas chromatography-mass spectrometry/combustion/isotope ratio mass spectrometry (GC-MS/C/IRMS) to detect the abuse of 17β-estradiol in cattle. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2013; 61:7242-7249. [PMID: 23815698 DOI: 10.1021/jf401797p] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Although the ability to differentiate between endogenous steroids and synthetic homologues on the basis of their (13)C/(12)C isotopic ratio has been known for over a decade, this technique has been scarcely implemented for food safety purposes. In this study, a method was developed using gas chromatography-mass spectrometry/combustion/isotope ratio mass spectrometry (GC-MS/C/IRMS) to demonstrate the abuse of 17β-estradiol in cattle, by comparison of the (13)C/(12)C ratios of the main metabolite 17α-estradiol and an endogenous reference compound (ERC), 5-androstene-3β,17α-diol, in bovine urine. The intermediate precisions were determined as 0.46 and 0.26‰ for 5-androstene-3β,17α-diol and 17α-estradiol, respectively. This is, to the authors' knowledge, the first reported use of GC-MS/C/IRMS for the analysis of steroid compounds for food safety issues.
Collapse
Affiliation(s)
- Geert Janssens
- Federal Agency for the Safety of the Food Chain, Directorate General Laboratories, Brussels, Belgium.
| | | | | | | | | | | | | |
Collapse
|
31
|
Courant F, Royer AL, Chéreau S, Morvan ML, Monteau F, Antignac JP, Le Bizec B. Implementation of a semi-automated strategy for the annotation of metabolomic fingerprints generated by liquid chromatography-high resolution mass spectrometry from biological samples. Analyst 2012; 137:4958-67. [DOI: 10.1039/c2an35865d] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
|