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Black C, Chevallier OP, Haughey SA, Balog J, Stead S, Pringle SD, Riina MV, Martucci F, Acutis PL, Morris M, Nikolopoulos DS, Takats Z, Elliott CT. A real time metabolomic profiling approach to detecting fish fraud using rapid evaporative ionisation mass spectrometry. Metabolomics 2017; 13:153. [PMID: 29151824 PMCID: PMC5668337 DOI: 10.1007/s11306-017-1291-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 10/25/2017] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Fish fraud detection is mainly carried out using a genomic profiling approach requiring long and complex sample preparations and assay running times. Rapid evaporative ionisation mass spectrometry (REIMS) can circumvent these issues without sacrificing a loss in the quality of results. OBJECTIVES To demonstrate that REIMS can be used as a fast profiling technique capable of achieving accurate species identification without the need for any sample preparation. Additionally, we wanted to demonstrate that other aspects of fish fraud other than speciation are detectable using REIMS. METHODS 478 samples of five different white fish species were subjected to REIMS analysis using an electrosurgical knife. Each sample was cut 8-12 times with each one lasting 3-5 s and chemometric models were generated based on the mass range m/z 600-950 of each sample. RESULTS The identification of 99 validation samples provided a 98.99% correct classification in which species identification was obtained near-instantaneously (≈ 2 s) unlike any other form of food fraud analysis. Significant time comparisons between REIMS and polymerase chain reaction (PCR) were observed when analysing 6 mislabelled samples demonstrating how REIMS can be used as a complimentary technique to detect fish fraud. Additionally, we have demonstrated that the catch method of fish products is capable of detection using REIMS, a concept never previously reported. CONCLUSIONS REIMS has been proven to be an innovative technique to help aid the detection of fish fraud and has the potential to be utilised by fisheries to conduct their own quality control (QC) checks for fast accurate results.
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Affiliation(s)
- Connor Black
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Olivier P. Chevallier
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Simon A. Haughey
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
| | - Julia Balog
- Waters Research Centre, 7 Zahony Street, Budapest, 1031 Hungary
- 0000 0001 2113 8111grid.7445.2Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, SW7 2AZ UK
| | - Sara Stead
- Waters Corporation, Altrincham Road, Wilmslow, SK9 4AX UK
| | | | - Maria V. Riina
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Francesca Martucci
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Pier L. Acutis
- 0000 0004 1759 3180grid.425427.2Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Via Bologna 148, 10154 Turin, Italy
| | - Mike Morris
- Waters Corporation, Altrincham Road, Wilmslow, SK9 4AX UK
| | - Dimitrios S. Nikolopoulos
- 0000 0004 0374 7521grid.4777.3School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK
| | - Zoltan Takats
- 0000 0001 2113 8111grid.7445.2Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, SW7 2AZ UK
| | - Christopher T. Elliott
- 0000 0004 0374 7521grid.4777.3Institute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen’s University Belfast, 18-30 Malone Road, Belfast, BT9 5BN Northern Ireland, UK
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Chen X, Hatsis P, Judge J, Argikar UA, Ren X, Sarber J, Mansfield K, Liang G, Amaral A, Catoire A, Bentley A, Ramos L, Moench P, Hintermann S, Carcache D, Glick J, Flarakos J. Compound Property Optimization in Drug Discovery Using Quantitative Surface Sampling Micro Liquid Chromatography with Tandem Mass Spectrometry. Anal Chem 2016; 88:11813-11820. [PMID: 27797491 DOI: 10.1021/acs.analchem.6b03449] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Surface sampling micro liquid chromatography tandem mass spectrometry (SSμLC-MS/MS) was explored as a quantitative tissue distribution technique for probing compound properties in drug discovery. A method was developed for creating standard curves using surrogate tissue sections from blank tissue homogenate spiked with compounds. The resulting standard curves showed good linearity and high sensitivity. The accuracy and precision of standards met acceptance criteria of ±30%. A new approach was proposed based on an experimental and mathematical method for tissue extraction efficiency evaluation by means of consecutively sampling a location on tissue twice by SSμLC-MS/MS. The observed extraction efficiency ranged from 69% to 82% with acceptable variation for the test compounds. Good agreement in extraction efficiency was observed between surrogate tissue sections and incurred tissue sections. This method was successfully applied to two case studies in which tissue distribution was instrumental in advancing project teams' understanding of compound properties.
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Affiliation(s)
| | - Panos Hatsis
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | | | | | - Xiaojun Ren
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | | | | | | | | | - Alexandre Catoire
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | - Adam Bentley
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | - Luis Ramos
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | - Paul Moench
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | - Samuel Hintermann
- Global Discovery Chemistry, Novartis Institutes for BioMedical Research, Inc. 4056 Basel, Switzerland
| | - David Carcache
- Global Discovery Chemistry, Novartis Institutes for BioMedical Research, Inc. 4056 Basel, Switzerland
| | - Jim Glick
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
| | - Jimmy Flarakos
- Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States
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Masiri J, Benoit L, Barrios-Lopez B, Thienes C, Meshgi M, Agapov A, Dobritsa A, Nadala C, Samadpour M. Development and validation of a rapid test system for detection of pork meat and collagen residues. Meat Sci 2016; 121:397-402. [DOI: 10.1016/j.meatsci.2016.07.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Revised: 07/05/2016] [Accepted: 07/10/2016] [Indexed: 11/27/2022]
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54
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Gunning Y, Watson AD, Rigby NM, Philo M, Peazer JK, Kemsley EK. Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication. J Vis Exp 2016. [PMID: 27685654 PMCID: PMC5092036 DOI: 10.3791/54420] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
We describe a simple protocol for identifying and quantifying the two components in binary mixtures of species possessing one or more similar proteins. Central to the method is the identification of 'corresponding proteins' in the species of interest, in other words proteins that are nominally the same but possess species-specific sequence differences. When subject to proteolysis, corresponding proteins will give rise to some peptides which are likewise similar but with species-specific variants. These are 'corresponding peptides'. Species-specific peptides can be used as markers for species determination, while pairs of corresponding peptides permit relative quantitation of two species in a mixture. The peptides are detected using multiple reaction monitoring (MRM) mass spectrometry, a highly specific technique that enables peptide-based species determination even in complex systems. In addition, the ratio of MRM peak areas deriving from corresponding peptides supports relative quantitation. Since corresponding proteins and peptides will, in the main, behave similarly in both processing and in experimental extraction and sample preparation, the relative quantitation should remain comparatively robust. In addition, this approach does not need the standards and calibrations required by absolute quantitation methods. The protocol is described in the context of red meats, which have convenient corresponding proteins in the form of their respective myoglobins. This application is relevant to food fraud detection: the method can detect 1% weight for weight of horse meat in beef. The corresponding protein, corresponding peptide (CPCP) relative quantitation using MRM peak area ratios gives good estimates of the weight for weight composition of a horse plus beef mixture.
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Affiliation(s)
| | | | | | - Mark Philo
- Analytical Sciences Unit, Institute of Food Research
| | - Joshua K Peazer
- Analytical Sciences Unit, Institute of Food Research; School of Chemistry, University of East Anglia
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55
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Black C, Chevallier OP, Elliott CT. The current and potential applications of Ambient Mass Spectrometry in detecting food fraud. Trends Analyt Chem 2016. [DOI: 10.1016/j.trac.2016.06.005] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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56
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Kertesz V, Weiskittel TM, Vavrek M, Freddo C, Van Berkel GJ. Extraction efficiency and implications for absolute quantitation of propranolol in mouse brain, liver and kidney tissue sections using droplet-based liquid microjunction surface sampling high-performance liquid chromatography/electrospray ionization tandem mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2016; 30:1705-1712. [PMID: 28328034 DOI: 10.1002/rcm.7607] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 05/12/2016] [Accepted: 05/13/2016] [Indexed: 06/06/2023]
Abstract
RATIONALE Currently, the absolute quantitation aspects of droplet-based surface sampling for tissue analysis using a fully automated autosampler/high-performance liquid chromatography/electrospray ionization tandem mass spectrometry (HPLC/ESI-MS/MS) system have not been fully evaluated. Knowledge of extraction efficiency and its reproducibility is required to judge the potential of the method for absolute quantitation of analytes from tissue sections. METHODS Adjacent tissue sections of propranolol-dosed mouse brain (10-μm-thick), kidney (10-μm-thick) and liver (8-, 10-, 16- and 24-μm-thick) were obtained. The absolute concentration of propranolol was determined in tissue punches from serial sections using standard bulk tissue extraction protocols and subsequent HPLC separations and MS/MS analysis. These values were used to determine propranolol extraction efficiency from the tissues with the droplet-based surface sampling approach. RESULTS Extraction efficiency of propranolol using 10-μm-thick brain, kidney and liver tissues using droplet-based surface sampling varied between ~45 and 63%. The extraction efficiency decreased from ~65% to ~36% with liver thickness increasing from 8 μm to 24 μm. Selecting half of the samples as standards, the precision and accuracy of propranolol concentrations were determined for the other half of the samples that were employed as a quality control data set. The resulting precision (±15%) and accuracy (±3%) were within acceptable limits. CONCLUSIONS Quantitation of adjacent mouse tissue sections of different organs and of various thicknesses by droplet-based surface sampling in comparison with bulk extraction of tissue punches showed that extraction efficiency was incomplete using the former method, and that it depended on the organ and tissue thickness. However, once extraction efficiency was determined and applied, the droplet-based approach provided satisfactory quantitation accuracy and precision for assay validations. Thus, once the extraction efficiency was calibrated for a given tissue type, tissue thickness and drug, the droplet-based approach provides a non-labour-intensive and high-throughput means to acquire spatially resolved quantitative analysis of multiple samples of the same type. Published in 2016. This article is a U.S. Government work and is in the public domain in the USA.
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Affiliation(s)
- Vilmos Kertesz
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| | - Taylor M Weiskittel
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
- ORISE HERE Intern, University of Tennessee, Knoxville, TN, 37996, USA
| | - Marissa Vavrek
- Department of Pharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck Research Laboratories, West Point, PA, 19486, USA
| | - Carol Freddo
- Department of Pharmacokinetics, Pharmacodynamics, and Drug Metabolism, Merck Research Laboratories, West Point, PA, 19486, USA
| | - Gary J Van Berkel
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
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LC–QTOF-MS identification of porcine-specific peptide in heat treated pork identifies candidate markers for meat species determination. Food Chem 2016; 199:157-64. [DOI: 10.1016/j.foodchem.2015.11.121] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 11/15/2015] [Accepted: 11/27/2015] [Indexed: 01/08/2023]
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58
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Liu J, Gu Z, Yao S, Zhang Z, Chen B. Rapid analysis of Callicarpa L. using direct spray ionization mass spectrometry. J Pharm Biomed Anal 2016; 124:93-103. [DOI: 10.1016/j.jpba.2016.02.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 02/22/2016] [Accepted: 02/22/2016] [Indexed: 11/25/2022]
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Marbaix H, Budinger D, Dieu M, Fumière O, Gillard N, Delahaut P, Mauro S, Raes M. Identification of Proteins and Peptide Biomarkers for Detecting Banned Processed Animal Proteins (PAPs) in Meat and Bone Meal by Mass Spectrometry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2016; 64:2405-2414. [PMID: 26943838 DOI: 10.1021/acs.jafc.6b00064] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The outbreak of bovine spongiform encephalopathy (BSE) in the United Kingdom in 1986, with processed animal proteins (PAPs) as the main vector of the disease, has led to their prohibition in feed. The progressive release of the feed ban required the development of new analytical methods to determine the exact origin of PAPs from meat and bone meal. We set up a promising MS-based method to determine the species and the source (legal or not) present in PAPs: a TCA-acetone protein extraction followed by a cleanup step, an in-solution tryptic digestion of 5 h (with a 1:20 protein/trypsin ratio), and mass spectrometry analyses, first without any a priori, with a Q-TOF, followed by a targeted triple-quadrupole analysis. Using this procedure, we were able to overcome some of the major limitations of the official methods to analyze PAPs, detecting and identifying prohibited animal products in feedstuffs by the monitoring of peptides specific for cows, pigs, and sheep in PAPs.
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Affiliation(s)
- Hélène Marbaix
- URBC-NARILIS, University of Namur , Rue de Bruxelles 61, 5000 Namur, Belgium
- Biotechnology Department, CRA-W, Walloon Agricultural Research Center , 5030 Gembloux, Belgium
| | - Dimitri Budinger
- URBC-NARILIS, University of Namur , Rue de Bruxelles 61, 5000 Namur, Belgium
| | - Marc Dieu
- URBC-NARILIS, University of Namur , Rue de Bruxelles 61, 5000 Namur, Belgium
- MaSUN, Mass Spectrometry Facility, University of Namur , 5000 Namur, Belgium
| | - Olivier Fumière
- Valorisation of Agricultural Products Department, CRA-W, Walloon Agricultural Research Center , 5030 Gembloux, Belgium
| | | | | | - Sergio Mauro
- Biotechnology Department, CRA-W, Walloon Agricultural Research Center , 5030 Gembloux, Belgium
| | - Martine Raes
- URBC-NARILIS, University of Namur , Rue de Bruxelles 61, 5000 Namur, Belgium
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Montowska M, Pospiech E. Processed Meat Protein and Heat-Stable Peptide Marker Identification Using Microwave-Assisted Tryptic Digestion. Food Technol Biotechnol 2016; 54:482-488. [PMID: 28115907 DOI: 10.17113/ftb.54.04.16.4540] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
New approaches to rapid examination of proteins and peptides in complex food matrices are of great interest to the community of food scientists. The aim of the study is to examine the influence of microwave irradiation on the acceleration of enzymatic cleavage and enzymatic digestion of denatured proteins in cooked meat of five species (cattle, horse, pig, chicken and turkey) and processed meat products (coarsely minced, smoked, cooked and semi-dried sausages). Severe protein aggregation occurred not only in heated meat under harsh treatment at 190 °C but also in processed meat products. All the protein aggregates were thoroughly hydrolyzed after 1 h of trypsin treatment with short exposure times of 40 and 20 s to microwave irradiation at 138 and 303 W. There were much more missed cleavage sites observed in all microwave-assisted digestions. Despite the incompleteness of microwave-assisted digestion, six unique peptide markers were detected, which allowed unambiguous identification of processed meat derived from the examined species. Although the microwave-assisted tryptic digestion can serve as a tool for rapid and high-throughput protein identification, great caution and pre-evaluation of individual samples is recommended in protein quantitation.
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Affiliation(s)
- Magdalena Montowska
- Institute of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31,
PL-60-624 Poznan, Poland
| | - Edward Pospiech
- Institute of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31,
PL-60-624 Poznan, Poland
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61
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Watson AD, Gunning Y, Rigby NM, Philo M, Kemsley EK. Meat Authentication via Multiple Reaction Monitoring Mass Spectrometry of Myoglobin Peptides. Anal Chem 2015; 87:10315-22. [DOI: 10.1021/acs.analchem.5b02318] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Andrew D. Watson
- Analytical Sciences Unit, Institute of Food Research, Norwich
Research Park, Norwich NR4 7UA, United Kingdom
| | - Yvonne Gunning
- Analytical Sciences Unit, Institute of Food Research, Norwich
Research Park, Norwich NR4 7UA, United Kingdom
| | - Neil M. Rigby
- Analytical Sciences Unit, Institute of Food Research, Norwich
Research Park, Norwich NR4 7UA, United Kingdom
| | - Mark Philo
- Analytical Sciences Unit, Institute of Food Research, Norwich
Research Park, Norwich NR4 7UA, United Kingdom
| | - E. Kate Kemsley
- Analytical Sciences Unit, Institute of Food Research, Norwich
Research Park, Norwich NR4 7UA, United Kingdom
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Claydon AJ, Grundy HH, Charlton AJ, Romero MR. Identification of novel peptides for horse meat speciation in highly processed foodstuffs. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2015; 32:1718-29. [DOI: 10.1080/19440049.2015.1075256] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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