1
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Ellisor DL, Bayless AL, Schock TB, Davis WC, Knott BT, Seghers J, Leys H, Emteborg H. Multi-omics characterization of NIST seafood reference materials and alternative matrix preparations. Anal Bioanal Chem 2024; 416:773-785. [PMID: 37723254 DOI: 10.1007/s00216-023-04928-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/20/2023]
Abstract
The National Institute of Standards and Technology (NIST) has prepared four seafood reference materials (RMs) for use in food safety and nutrition studies: wild-caught and aquacultured salmon (RM 8256 and RM 8257) and wild-caught and aquacultured shrimp (RM 8258 and RM 8259). These materials were characterized using genetic, metabolomic (1H-NMR, nuclear magnetic resonance and LC-HRMS/MS, liquid chromatography high-resolution tandem mass spectrometry), lipidomic, and proteomic methods to explore their use as matrix-matched, multi-omic differential materials for method development towards identifying product source and/or as quality control in untargeted omics studies. The results from experimental replicates were reproducible for each reference material and analytical method, with the most abundant features reported. Additionally, differences between the materials could be detected, where wild-caught and aquacultured seafood could be distinguished using untargeted metabolite, lipid, and protein analyses. Further processing of the fresh-frozen RMs by freeze-drying revealed the freeze-dried seafoods could still be reliably discerned. These results demonstrate the usefulness of these reference materials as tools for omics instrument validation and measurement harmonization in seafood-related studies. Furthermore, their use as differential quality control (QC) materials, regardless of preparation method, may also provide a tool for laboratories to demonstrate proficiency at discriminating between products based on source/species.
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Affiliation(s)
- Debra L Ellisor
- National Institute of Standards and Technology Materials Measurement Laboratory, Charleston, SC, USA.
| | - Amanda L Bayless
- National Institute of Standards and Technology Materials Measurement Laboratory, Charleston, SC, USA
| | - Tracey B Schock
- National Institute of Standards and Technology Materials Measurement Laboratory, Charleston, SC, USA
| | - W Clay Davis
- National Institute of Standards and Technology Materials Measurement Laboratory, Charleston, SC, USA
| | - B Trey Knott
- National Oceanic and Atmospheric Administration Northwest Fisheries Science Center Forensic Laboratory, Charleston, SC, USA
| | - John Seghers
- European Commission - Joint Research Centre, Directorate Health and Food, Geel, Belgium
| | - Hanne Leys
- European Commission - Joint Research Centre, Directorate Health and Food, Geel, Belgium
| | - Håkan Emteborg
- European Commission - Joint Research Centre, Directorate Health and Food, Geel, Belgium
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2
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Marissen R, Varunjikar MS, Laros JFJ, Rasinger JD, Neely BA, Palmblad M. compareMS2 2.0: An Improved Software for Comparing Tandem Mass Spectrometry Datasets. J Proteome Res 2022; 22:514-519. [PMID: 36173614 PMCID: PMC9903320 DOI: 10.1021/acs.jproteome.2c00457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
It has long been known that biological species can be identified from mass spectrometry data alone. Ten years ago, we described a method and software tool, compareMS2, for calculating a distance between sets of tandem mass spectra, as routinely collected in proteomics. This method has seen use in species identification and mixture characterization in food and feed products, as well as other applications. Here, we present the first major update of this software, including a new metric, a graphical user interface and additional functionality. The data have been deposited to ProteomeXchange with dataset identifier PXD034932.
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Affiliation(s)
- Rob Marissen
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands
| | | | - Jeroen F. J. Laros
- National
Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands,Department
of Human Genetics, Leiden University Medical
Center, Postbus 9600, 2300
RC Leiden, The Netherlands
| | - Josef D. Rasinger
- Institute
of Marine Research, P.O. Box 1870
Nordnes, 5817 Bergen, Norway
| | - Benjamin A. Neely
- National
Institute of Standards and Technology, Charleston, South Carolina 29412, United States
| | - Magnus Palmblad
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands,. Phone: +31 71 5266969
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3
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Varunjikar MS, Belghit I, Gjerde J, Palmblad M, Oveland E, Rasinger JD. Shotgun proteomics approaches for authentication, biological analyses, and allergen detection in feed and food-grade insect species. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108888] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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4
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Varunjikar MS, Moreno-Ibarguen C, Andrade-Martinez JS, Tung HS, Belghit I, Palmblad M, Olsvik PA, Reyes A, Rasinger JD, Lie KK. Comparing novel shotgun DNA sequencing and state-of-the-art proteomics approaches for authentication of fish species in mixed samples. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108417] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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5
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Neely BA, Palmblad M. Rewinding the Molecular Clock: Looking at Pioneering Molecular Phylogenetics Experiments in the Light of Proteomics. J Proteome Res 2021; 20:4640-4645. [PMID: 34523928 PMCID: PMC8491155 DOI: 10.1021/acs.jproteome.1c00528] [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] [Indexed: 01/21/2023]
Abstract
![]()
Science is full of
overlooked and undervalued research waiting
to be rediscovered. Proteomics is no exception. In this perspective,
we follow the ripples from a 1960 study of Zuckerkandl, Jones, and
Pauling comparing tryptic peptides across animal species. This pioneering
work directly led to the molecular clock hypothesis and the ensuing
explosion in molecular phylogenetics. In the decades following, proteins
continued to provide essential clues on evolutionary history. While
technology has continued to improve, contemporary proteomics has strayed
from this larger biological context, rarely comparing species or asking
how protein structure, function, and interactions have evolved. Here
we recombine proteomics with molecular phylogenetics, highlighting
the value of framing proteomic results in a larger biological context
and how almost forgotten research, though technologically surpassed,
can still generate new ideas and illuminate our work from a different
perspective. Though it is infeasible to read all research published
on a large topic, looking up older papers can be surprisingly rewarding
when rediscovering a “gem” at the end of a long citation
chain, aided by digital collections and perpetually helpful librarians.
Proper literature study reduces unnecessary repetition and allows
research to be more insightful and impactful by truly standing on
the shoulders of giants. All data was uploaded to MassIVE (https://massive.ucsd.edu/)
as dataset MSV000087993.
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Affiliation(s)
- Benjamin A Neely
- National Institute of Standards and Technology, Charleston, South Carolina 29412, United States
| | - Magnus Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
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6
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Belghit I, Varunjikar M, Lecrenier MC, Steinhilber A, Niedzwiecka A, Wang Y, Dieu M, Azzollini D, Lie K, Lock EJ, Berntssen M, Renard P, Zagon J, Fumière O, van Loon J, Larsen T, Poetz O, Braeuning A, Palmblad M, Rasinger J. Future feed control – Tracing banned bovine material in insect meal. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108183] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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7
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8
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Valletta M, Ragucci S, Landi N, Di Maro A, Pedone PV, Russo R, Chambery A. Mass spectrometry-based protein and peptide profiling for food frauds, traceability and authenticity assessment. Food Chem 2021; 365:130456. [PMID: 34243122 DOI: 10.1016/j.foodchem.2021.130456] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 01/03/2023]
Abstract
The ever-growing use of mass spectrometry (MS) methodologies in food authentication and traceability originates from their unrivalled specificity, accuracy and sensitivity. Such features are crucial for setting up analytical strategies for detecting food frauds and adulterations by monitoring selected components within food matrices. Among MS approaches, protein and peptide profiling has become increasingly consolidated. This review explores the current knowledge on recent MS techniques using protein and peptide biomarkers for assessing food traceability and authenticity, with a specific focus on their use for unmasking potential frauds and adulterations. We provide a survey of the current state-of-the-art instrumentation including the most reliable and sensitive acquisition modes highlighting advantages and limitations. Finally, we summarize the recent applications of MS to protein/peptide analyses in food matrices and examine their potential in ensuring the quality of agro-food products.
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Affiliation(s)
- Mariangela Valletta
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Sara Ragucci
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Nicola Landi
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Antimo Di Maro
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Paolo Vincenzo Pedone
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Rosita Russo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
| | - Angela Chambery
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
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9
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Protein Signatures to Trace Seafood Contamination and Processing. Foods 2020; 9:foods9121751. [PMID: 33256117 PMCID: PMC7761302 DOI: 10.3390/foods9121751] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/21/2020] [Accepted: 11/24/2020] [Indexed: 12/14/2022] Open
Abstract
This review presents some applications of proteomics and selected spectroscopic methods to validate certain aspects of seafood traceability. After a general introduction to traceability and the initial applications of proteomics to authenticate traceability information, it addresses the application of proteomics to trace seafood exposure to some increasingly abundant emergent health hazards with the potential to indicate the geographic/environmental origin, such as microplastics, triclosan and human medicinal and recreational drugs. Thereafter, it shows the application of vibrational spectroscopy (Fourier-Transform Infrared Spectroscopy (FTIR) and Fourier-Transform Raman Spectroscopy (FT Raman)) and Low Field Nuclear Magnetic Resonance (LF-NMR) relaxometry to discriminate frozen fish from thawed fish and to estimate the time and temperature history of frozen fillets by monitoring protein modifications induced by processing and storage. The review concludes indicating near future trends in the application of these techniques to ensure seafood safety and traceability.
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10
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Identification of peptide biomarkers for authentication of Atlantic salmon and rainbow trout with untargeted and targeted proteomics approaches and quantitative detection of adulteration. J Chromatogr B Analyt Technol Biomed Life Sci 2020; 1155:122194. [PMID: 32771965 DOI: 10.1016/j.jchromb.2020.122194] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/30/2020] [Accepted: 05/25/2020] [Indexed: 01/14/2023]
Abstract
Atlantic salmon is often adulterated or substituted by rainbow trout with much lower price and quality. However, it is extremely difficult to distinguish Atlantic salmon and rainbow trout due to their similar appearance and close relationship in species. In the present work, untargeted and targeted proteomics approaches were both implemented to identify species-specific peptide biomarkers of Atlantic salmon and rainbow trout. Potential peptide biomarkers were obtained through matching HRMS data with UniProt database, screened by BLAST and then verified with real samples. Five peptide biomarkers were identified each for Atlantic salmon and rainbow trout. MRM method was established for quantitative measurement of rainbow trout Adulteration in Atlantic salmon, showing high sensitivity and repeatability. The biomarker peptide GDPGPGGPQGEQGVVGPAGISGDK was used for quantification. The limit of the detection (LOD) of adulteration of rainbow trout is 0.19%, and the limit of quantitation (LOQ) is 0.62%. Furthermore, this method was successfully applied to analyze a number of Atlantic salmon and Rainbow trout samples from different regions and different batches, as well as commercially available processed products.
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11
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Abstract
For the last century we have relied on model organisms to help understand fundamental biological processes. Now, with advancements in genome sequencing, assembly, and annotation, non-model organisms may be studied with the same advanced bioanalytical toolkit as model organisms. Proteomics is one such technique, which classically relies on predicted protein sequences to catalog and measure complex proteomes across tissues and biofluids. Applying proteomics to non-model organisms can advance and accelerate biomimicry studies, biomedical advancements, veterinary medicine, agricultural research, behavioral ecology, and food safety. In this postmodel organism era, we can study almost any species, meaning that many non-model organisms are, in fact, important emerging model organisms. Herein we specifically focus on eukaryotic organisms and discuss the steps to generate sequence databases, analyze proteomic data with or without a database, and interpret results as well as future research opportunities. Proteomics is more accessible than ever before and will continue to rapidly advance in the coming years, enabling critical research and discoveries in non-model organisms that were hitherto impossible.
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Affiliation(s)
- Michelle Heck
- Emerging Pests and Pathogens Research Unit, USDA Agricultural Research Service, Ithaca, NY, USA
- Plant Pathology and Plant Microbe Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
- Boyce Thompson Institute, Ithaca, NY, USA
| | - Benjamin A. Neely
- Chemical Sciences Division, National Institute of Standards and Technology, Charleston, SC, USA
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12
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Ho JK, Puniamoorthy J, Srivathsan A, Meier R. MinION sequencing of seafood in Singapore reveals creatively labelled flatfishes, confused roe, pig DNA in squid balls, and phantom crustaceans. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107144] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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13
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Creydt M, Fischer M. Food authentication in real life: How to link nontargeted approaches with routine analytics? Electrophoresis 2020; 41:1665-1679. [PMID: 32249434 DOI: 10.1002/elps.202000030] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 12/20/2022]
Abstract
In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding high-resolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.
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Affiliation(s)
- Marina Creydt
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
| | - Markus Fischer
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
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14
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Ahmed F, Kumar G, Soliman FM, Adly MA, Soliman HAM, El-Matbouli M, Saleh M. Proteomics for understanding pathogenesis, immune modulation and host pathogen interactions in aquaculture. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2019; 32:100625. [PMID: 31639560 DOI: 10.1016/j.cbd.2019.100625] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 09/06/2019] [Accepted: 09/09/2019] [Indexed: 12/13/2022]
Abstract
Proteomic analyses techniques are considered strong tools for identifying and quantifying the protein contents in different organisms, organs and secretions. In fish biotechnology, the proteomic analyses have been used for wide range of applications such as identification of immune related proteins during infections and stresses. The proteomic approach has a significant role in understanding pathogen surviving strategies, host defence responses and subsequently, the fish pathogen interactions. Proteomic analyses were employed to highlight the virulence related proteins secreted by the pathogens to invade the fish host's defence barriers and to monitor the kinetics of protein contents of different fish organs in response to infections. The immune related proteins of fish and the virulence related proteins of pathogens are up or down regulated according to their functions in defence or pathogenesis. Therefore, the proteomic analyses are useful in understanding the virulence mechanisms of microorganisms and the fish pathogen interactions thereby supporting the development of new effective therapies. In this review, we focus and summarise the recent proteomic profiling studies exploring pathogen virulence activities and fish immune responses to stressors and infections.
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Affiliation(s)
- Fatma Ahmed
- Clinical Division of Fish Medicine, University of Veterinary Medicine, Vienna, Austria; Department of Zoology, Faculty of Science, Sohag University, Sohag, Egypt
| | - Gokhlesh Kumar
- Clinical Division of Fish Medicine, University of Veterinary Medicine, Vienna, Austria
| | - Faiza M Soliman
- Department of Zoology, Faculty of Science, Sohag University, Sohag, Egypt
| | - Mohamed A Adly
- Department of Zoology, Faculty of Science, Sohag University, Sohag, Egypt
| | - Hamdy A M Soliman
- Department of Zoology, Faculty of Science, Sohag University, Sohag, Egypt
| | - Mansour El-Matbouli
- Clinical Division of Fish Medicine, University of Veterinary Medicine, Vienna, Austria
| | - Mona Saleh
- Clinical Division of Fish Medicine, University of Veterinary Medicine, Vienna, Austria.
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15
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Bi H, Zhong C, Shao M, Wang C, Yi J, Qiao L, Zhang J. Differentiation and authentication of fishes at the species level through analysis of fish skin by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2019; 33:1336-1343. [PMID: 31034697 DOI: 10.1002/rcm.8474] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 04/22/2019] [Accepted: 04/23/2019] [Indexed: 05/08/2023]
Abstract
RATIONALE Authentication of fish is of importance in the view of toxins, allergen warnings and economic fraud control. Traditional methods in the authentication of fish, e.g. morphological, genetic and proteomic analysis, are either at low throughput or at high-cost. METHODS A high-throughput matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF MS)-based approach was developed to analyze biomaterials from fish skin, and mass spectra from different fish species were compared by chemometric methods to differentiate fish species. RESULTS A total of 51 fish samples were used to generate more than 150 fingerprinting mass spectra. The fish belonging to the same genus can be identified at species level. A mass spectral database of different fishes can be built as reference for authentication. The analysis can be performed based on micrograms of fish-skin sample and accomplished in 1-3 hours. CONCLUSIONS The developed strategy holds potential to be applied to fish authentication in the fishing industry and as a scientific method to avoid mislabeling. It has promise to be practically used for fast and effective identification of closely related fish species to guarantee the quality of fishery products to consumers.
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Affiliation(s)
- Hongyan Bi
- College of Food Science and Engineering, and College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306, Shanghai, China
| | - Chunyi Zhong
- College of Food Science and Engineering, and College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306, Shanghai, China
| | - Mingke Shao
- College of Food Science and Engineering, and College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306, Shanghai, China
| | - Chengyu Wang
- College of Food Science and Engineering, and College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306, Shanghai, China
| | - Jia Yi
- Department of Chemistry, Fudan University, Songhu Road 2005, Yangpu District, 200438, Shanghai, China
| | - Liang Qiao
- Department of Chemistry, Fudan University, Songhu Road 2005, Yangpu District, 200438, Shanghai, China
| | - Junbo Zhang
- College of Food Science and Engineering, and College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306, Shanghai, China
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16
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Belghit I, Lock EJ, Fumière O, Lecrenier MC, Renard P, Dieu M, Berntssen MHG, Palmblad M, Rasinger JD. Species-Specific Discrimination of Insect Meals for Aquafeeds by Direct Comparison of Tandem Mass Spectra. Animals (Basel) 2019; 9:E222. [PMID: 31067722 PMCID: PMC6562778 DOI: 10.3390/ani9050222] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 05/03/2019] [Accepted: 05/05/2019] [Indexed: 01/07/2023] Open
Abstract
Insect protein has the potential to become a sustainable feed ingredient for the rapidly growing aquaculture industry. In the European Union, insect derived protein is placed under the same legislation as processed animal proteins (PAP). It is therefore of interest to develop methods for regulatory use, which unambiguously identify the species origin of insect-based ingredients. We performed (i) total protein quantification of insect samples using the traditional nitrogen-to-protein conversion factor of 6.25 and the sum of anhydrous amino acids, (ii) quantitative amino acid profiling and (iii) high-throughput tandem mass spectrometry to describe and differentiate 18 different commercial-grade insect meal samples derived from Hermetia illucens (8), Tenebrio molitor (5), Alphitobius diaperinus (3) and Acheta domesticus (2). In addition, we investigated and compared different protein extraction and digestion protocols for proteomic analysis. We found that irrespective of sample preparation, shotgun proteomics in combination with direct spectral comparison were able to differentiate insect meal according to their taxonomic classification. The insect specific spectral libraries created in the present work can in future be used to develop more sensitive targeted methods of insect PAP identification and quantification in commercial feed mixtures.
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Affiliation(s)
- Ikram Belghit
- Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.
| | - Erik-Jan Lock
- Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.
| | - Olivier Fumière
- Centre Wallon de Recherches agronomiques (CRA-W), 5030 Gembloux, Belgium.
| | | | - Patricia Renard
- University of Namur, rue de Bruxelles 61, B-5000 Namur, Belgium.
| | - Marc Dieu
- University of Namur, rue de Bruxelles 61, B-5000 Namur, Belgium.
- University of Namur, mass spectrometry facility (MaSUN), rue de Bruxelles 61, B-5000 Namur, Belgium.
| | - Marc H G Berntssen
- Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.
| | - Magnus Palmblad
- Leids Universitair Medisch Centrum, 2316 Leiden, The Netherlands.
| | - Josef D Rasinger
- Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.
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17
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Ballin NZ, Laursen KH. To target or not to target? Definitions and nomenclature for targeted versus non-targeted analytical food authentication. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2018.09.025] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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18
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Applications and challenges of forensic proteomics. Forensic Sci Int 2019; 297:350-363. [DOI: 10.1016/j.forsciint.2019.01.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 01/09/2019] [Accepted: 01/13/2019] [Indexed: 12/23/2022]
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19
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Verrez-Bagnis V, Sotelo CG, Mendes R, Silva H, Kappel K, Schröder U. Methods for Seafood Authenticity Testing in Europe. BIOACTIVE MOLECULES IN FOOD 2019. [DOI: 10.1007/978-3-319-78030-6_69] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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20
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The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized approach. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.08.007] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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21
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Abstract
Authenticity and traceability of food products are of primary importance at all levels of the production process, from raw materials to finished products. Authentication is also a key aspect for accurate labeling of food, which is required to help consumers in selecting appropriate types of food products. With the aim of guaranteeing the authenticity of foods, various methodological approaches have been devised over the past years, mainly based on either targeted or untargeted analyses. In this review, a brief overview of current analytical methods tailored to authenticity studies, with special regard to fishery products, is provided. Focus is placed on untargeted methods that are attracting the interest of the analytical community thanks to their rapidity and high throughput; such methods enable a fast collection of “fingerprinting signals” referred to each authentic food, subsequently stored into large database for the construction of specific information repositories. In the present case, methods capable of detecting fish adulteration/substitution and involving sensory, physicochemical, DNA-based, chromatographic, and spectroscopic measurements, combined with chemometric tools, are illustrated and commented on.
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22
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23
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Shao W, Lam H. Tandem mass spectral libraries of peptides and their roles in proteomics research. MASS SPECTROMETRY REVIEWS 2017; 36:634-648. [PMID: 27403644 DOI: 10.1002/mas.21512] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/21/2016] [Indexed: 05/15/2023]
Abstract
Proteomics is a rapidly maturing field aimed at the high-throughput identification and quantification of all proteins in a biological system. The cornerstone of proteomic technology is tandem mass spectrometry of peptides resulting from the digestion of protein mixtures. The fragmentation pattern of each peptide ion is captured in its tandem mass spectrum, which enables its identification and acts as a fingerprint for the peptide. Spectral libraries are simply searchable collections of these fingerprints, which have taken on an increasingly prominent role in proteomic data analysis. This review describes the historical development of spectral libraries in proteomics, details the computational procedures behind library building and searching, surveys the current applications of spectral libraries, and discusses the outstanding challenges. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:634-648, 2017.
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Affiliation(s)
- Wenguang Shao
- Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Henry Lam
- Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
- Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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24
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Abdullah A, Rehbein H. DNA barcoding for the species identification of commercially important fishery products in Indonesian markets. Int J Food Sci Technol 2016. [DOI: 10.1111/ijfs.13278] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Asadatun Abdullah
- Department of Safety and Quality of Milk and Fish Products; Max Rubner-Institute; Palmaille 9 22767 Hamburg Germany
- Department of Aquatic Product Technology; Bogor Agricultural University; Bogor Indonesia
| | - Hartmut Rehbein
- Department of Safety and Quality of Milk and Fish Products; Max Rubner-Institute; Palmaille 9 22767 Hamburg Germany
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25
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Review on proteomics for food authentication. J Proteomics 2016; 147:212-225. [PMID: 27389853 DOI: 10.1016/j.jprot.2016.06.033] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 06/21/2016] [Accepted: 06/28/2016] [Indexed: 12/24/2022]
Abstract
UNLABELLED Consumers have the right to know what is in the food they are eating. Accordingly, European and global food regulations require that the provenance of the food can be guaranteed from farm to fork. Many different instrumental techniques have been proposed for food authentication. Although traditional methods are still being used, new approaches such as genomics, proteomics, and metabolomics are helping to complement existing methodologies for verifying the claims made about certain food products. During the last decade, proteomics (the large-scale analysis of proteins in a particular biological system at a particular time) has been applied to different research areas within food technology. Since proteins can be used as markers for many properties of a food, even indicating processes to which the food has been subjected, they can provide further evidence of the foods labeling claim. This review is a comprehensive and updated overview of the applications, drawbacks, advantages, and challenges of proteomics for food authentication in the assessment of the foods compliance with labeling regulations and policies. SIGNIFICANCE This review paper provides a comprehensive and critical overview of the application of proteomics approaches to determine the authenticity of several food products updating the performances and current limitations of the applied techniques in both laboratory and industrial environments.
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26
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Ohana D, Dalebout H, Marissen R, Wulff T, Bergquist J, Deelder A, Palmblad M. Identification of meat products by shotgun spectral matching. Food Chem 2016; 203:28-34. [DOI: 10.1016/j.foodchem.2016.01.138] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 01/27/2016] [Accepted: 01/29/2016] [Indexed: 11/28/2022]
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27
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Rasinger JD, Marbaix H, Dieu M, Fumière O, Mauro S, Palmblad M, Raes M, Berntssen MHG. Species and tissues specific differentiation of processed animal proteins in aquafeeds using proteomics tools. J Proteomics 2016; 147:125-131. [PMID: 27268957 DOI: 10.1016/j.jprot.2016.05.036] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 05/13/2016] [Accepted: 05/31/2016] [Indexed: 01/13/2023]
Abstract
UNLABELLED The rapidly growing aquaculture industry drives the search for sustainable protein sources in fish feed. In the European Union (EU) since 2013 non-ruminant processed animal proteins (PAP) are again permitted to be used in aquafeeds. To ensure that commercial fish feeds do not contain PAP from prohibited species, EU reference methods were established. However, due to the heterogeneous and complex nature of PAP complementary methods are required to guarantee the safe use of this fish feed ingredient. In addition, there is a need for tissue specific PAP detection to identify the sources (i.e. bovine carcass, blood, or meat) of illegal PAP use. In the present study, we investigated and compared different protein extraction, solubilisation and digestion protocols on different proteomics platforms for the detection and differentiation of prohibited PAP. In addition, we assessed if tissue specific PAP detection was feasible using proteomics tools. All work was performed independently in two different laboratories. We found that irrespective of sample preparation gel-based proteomics tools were inappropriate when working with PAP. Gel-free shotgun proteomics approaches in combination with direct spectral comparison were able to provide quality species and tissue specific data to complement and refine current methods of PAP detection and identification. SIGNIFICANCE To guarantee the safe use of processed animal protein (PAP) in aquafeeds efficient PAP detection and monitoring tools are required. The present study investigated and compared various proteomics workflows and shows that the application of shotgun proteomics in combination with direct comparison of spectral libraries provides for the desired species and tissue specific classification of this heat sterilized and pressure treated (≥133°C, at 3bar for 20min) protein feed ingredient.
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Affiliation(s)
- J D Rasinger
- National Institute of Nutrition and Seafood Research (NIFES), PO Box 2029, Nordnes, 5817 Bergen, Norway.
| | - H Marbaix
- URBC-NARILIS, University of Namur, Namur, Belgium.
| | - M Dieu
- URBC-NARILIS, University of Namur, Namur, Belgium; MaSUN, Mass spectrometry facility, University of Namur, Namur, Belgium.
| | - O Fumière
- CRAW, Valorisation of Agricultural Products Department, 24 Chaussée de Namur, 5030 Gembloux, Belgium.
| | - S Mauro
- CRAW, Biotechnology Department, 234 Chaussée de Charleroi, 5030 Gembloux, Belgium.
| | - M Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, the Netherlands.
| | - M Raes
- URBC-NARILIS, University of Namur, Namur, Belgium.
| | - M H G Berntssen
- National Institute of Nutrition and Seafood Research (NIFES), PO Box 2029, Nordnes, 5817 Bergen, Norway.
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28
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Nessen MA, van der Zwaan DJ, Grevers S, Dalebout H, Staats M, Kok E, Palmblad M. Authentication of Closely Related Fish and Derived Fish Products Using Tandem Mass Spectrometry and Spectral Library Matching. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2016; 64:3669-3677. [PMID: 27086584 DOI: 10.1021/acs.jafc.5b05322] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Proteomics methodology has seen increased application in food authentication, including tandem mass spectrometry of targeted species-specific peptides in raw, processed, or mixed food products. We have previously described an alternative principle that uses untargeted data acquisition and spectral library matching, essentially spectral counting, to compare and identify samples without the need for genomic sequence information in food species populations. Here, we present an interlaboratory comparison demonstrating how a method based on this principle performs in a realistic context. We also increasingly challenge the method by using data from different types of mass spectrometers, by trying to distinguish closely related and commercially important flatfish, and by analyzing heavily contaminated samples. The method was found to be robust in different laboratories, and 94-97% of the analyzed samples were correctly identified, including all processed and contaminated samples.
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Affiliation(s)
- Merel A Nessen
- RIKILT Wageningen UR , P.O. Box 230, 6700 AE Wageningen, The Netherlands
| | | | - Sander Grevers
- Center for Proteomics and Metabolomics, Leiden University Medical Center , P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Hans Dalebout
- Center for Proteomics and Metabolomics, Leiden University Medical Center , P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Martijn Staats
- RIKILT Wageningen UR , P.O. Box 230, 6700 AE Wageningen, The Netherlands
| | - Esther Kok
- RIKILT Wageningen UR , P.O. Box 230, 6700 AE Wageningen, The Netherlands
| | - Magnus Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center , P.O. Box 9600, 2300 RC Leiden, The Netherlands
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29
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van der Plas-Duivesteijn SJ, Wulff T, Klychnikov O, Ohana D, Dalebout H, van Veelen PA, de Keijzer J, Nessen MA, van der Burgt YEM, Deelder AM, Palmblad M. Differentiating samples and experimental protocols by direct comparison of tandem mass spectra. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2016; 30:731-738. [PMID: 26864526 DOI: 10.1002/rcm.7494] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 12/16/2015] [Accepted: 12/20/2015] [Indexed: 06/05/2023]
Abstract
RATIONALE Peptide tandem mass spectra can be analyzed by a number of means. They can be compared against predicted spectra of peptides derived from genome sequences, compared against previously acquired and identified spectra, or - sometimes - sequenced de novo. We recently introduced another method which compares spectra between liquid chromatography/tandem mass spectrometry (LC/MS/MS) datasets to determine the shared spectral content, and demonstrated how this can be applied in a molecular phylogenetic study using sera from human and non-human primates. We will here explore if such a method have other, serendipitous uses. METHODS We used the existing compareMS2 algorithm without modification on a diverse set of experiments. RESULTS First we conducted a small phylogenetic study, using (mammalian) bone samples to study old material, and human pathogens aiming to distinguish clinically important strains. Although not as straightforward as primate sera analysis, the method shows significant promise for all these applications. We also used the algorithm to compare 24 different protocols for extraction of proteins from muscle tissue. The results provided useful information in comparing protocols. Finally, we applied compareMS2 aiming for quality control of two traceable protein reference standards (troponin) used in clinical chemistry assays, by analysing the effect of storage conditions. CONCLUSIONS The results illustrate a broad applicability of the metric based on shared tandem mass spectra between LC/MS/MS datasets for analysing protein digests in different types of experiments. There is no reason to assume that our instance of this method is optimal in any of these situations, as it makes limited or no use of accurate mass and chromatographic retention time. We propose that with further improvement and refinement, this type of analysis can be applied as a simple but informative first step in many pipelines for bottom-up tandem mass spectrometry data analysis in proteomics and other fields, comparing or analysing large numbers of samples or datasets.
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Affiliation(s)
| | - Tune Wulff
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
| | - Oleg Klychnikov
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Dana Ohana
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Hans Dalebout
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter A van Veelen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen de Keijzer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Yuri E M van der Burgt
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Chemistry, Leiden University Medical Center, Leiden, The Netherlands
| | - André M Deelder
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Magnus Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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30
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Mazzeo MF, Siciliano RA. Proteomics for the authentication of fish species. J Proteomics 2016; 147:119-124. [PMID: 26947551 DOI: 10.1016/j.jprot.2016.03.007] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 02/15/2016] [Accepted: 03/01/2016] [Indexed: 11/28/2022]
Abstract
UNLABELLED Assessment of seafood authenticity and origin, mainly in the case of processed products (fillets, sticks, baby food) represents the crucial point to prevent fraudulent deceptions thus guaranteeing market transparency and consumers health. The most dangerous practice that jeopardies fish safety is intentional or unintentional mislabeling, originating from the substitution of valuable fish species with inferior ones. Conventional analytical methods for fish authentication are becoming inadequate to comply with the strict regulations issued by the European Union and with the increase of mislabeling due to the introduction on the market of new fish species and market globalization. This evidence prompts the development of high-throughput approaches suitable to identify unambiguous biomarkers of authenticity and screen a large number of samples with minimal time consumption. Proteomics provides suitable and powerful tools to investigate main aspects of food quality and safety and has given an important contribution in the field of biomarkers discovery applied to food authentication. This report describes the most relevant methods developed to assess fish identity and offers a perspective on their potential in the evaluation of fish quality and safety thus depicting the key role of proteomics in the authentication of fish species and processed products. BIOLOGICAL SIGNIFICANCE The assessment of fishery products authenticity is a main issue in the control quality process as deceptive practices could imply severe health risks. Proteomics based methods could significantly contribute to detect falsification and frauds, thus becoming a reliable operative first-line testing resource in food authentication.
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Affiliation(s)
- Maria Fiorella Mazzeo
- Centro di Spettrometria di Massa Proteomica e Biomolecolare, Istituto di Scienze dell'Alimentazione, CNR, via Roma 64, 83100 Avellino, Italy.
| | - Rosa Anna Siciliano
- Centro di Spettrometria di Massa Proteomica e Biomolecolare, Istituto di Scienze dell'Alimentazione, CNR, via Roma 64, 83100 Avellino, Italy.
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31
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Piras C, Roncada P, Rodrigues PM, Bonizzi L, Soggiu A. Proteomics in food: Quality, safety, microbes, and allergens. Proteomics 2016; 16:799-815. [PMID: 26603968 DOI: 10.1002/pmic.201500369] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 10/21/2015] [Accepted: 11/17/2015] [Indexed: 02/04/2023]
Abstract
Food safety and quality and their associated risks pose a major concern worldwide regarding not only the relative economical losses but also the potential danger to consumer's health. Customer's confidence in the integrity of the food supply could be hampered by inappropriate food safety measures. A lack of measures and reliable assays to evaluate and maintain a good control of food characteristics may affect the food industry economy and shatter consumer confidence. It is imperative to create and to establish fast and reliable analytical methods that allow a good and rapid analysis of food products during the whole food chain. Proteomics can represent a powerful tool to address this issue, due to its proven excellent quantitative and qualitative drawbacks in protein analysis. This review illustrates the applications of proteomics in the past few years in food science focusing on food of animal origin with some brief hints on other types. Aim of this review is to highlight the importance of this science as a valuable tool to assess food quality and safety. Emphasis is also posed in food processing, allergies, and possible contaminants like bacteria, fungi, and other pathogens.
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Affiliation(s)
- Cristian Piras
- Dipartimento di Scienze Veterinarie e Sanità Pubblica (DIVET), Università degli studi di Milano, Milano, Italy
| | - Paola Roncada
- Istituto Sperimentale Italiano L. Spallanzani, Milano, Italy
| | - Pedro M Rodrigues
- CCMAR, Centre of Marine Sciences, University of Algarve, Faro, Portugal
| | - Luigi Bonizzi
- Dipartimento di Scienze Veterinarie e Sanità Pubblica (DIVET), Università degli studi di Milano, Milano, Italy
| | - Alessio Soggiu
- Dipartimento di Scienze Veterinarie e Sanità Pubblica (DIVET), Università degli studi di Milano, Milano, Italy
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