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de Almeida CM, Dos Santos NA, Lacerda V, Ma X, Fernández FM, Romão W. Applications of MALDI mass spectrometry in forensic science. Anal Bioanal Chem 2024; 416:5255-5280. [PMID: 39160439 DOI: 10.1007/s00216-024-05470-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/15/2024] [Accepted: 07/25/2024] [Indexed: 08/21/2024]
Abstract
Forensic chemistry literature has grown exponentially, with many analytical techniques being used to provide valuable information to help solve criminal cases. Among them, matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS), particularly MALDI MS imaging (MALDI MSI), has shown much potential in forensic applications. Due to its high specificity, MALDI MSI can analyze a wide variety of compounds in complex samples without extensive sample preparation, providing chemical profiles and spatial distributions of given analyte(s). This review introduces MALDI MS(I) to forensic scientists with a focus on its basic principles and the applications of MALDI MS(I) to the analysis of fingerprints, drugs of abuse, and their metabolites in hair, medicine samples, animal tissues, and inks in documents.
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Affiliation(s)
- Camila M de Almeida
- Laboratory of Petroleomics and Forensics, Universidade Federal Do Espírito Santo (UFES), Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil
| | - Nayara A Dos Santos
- Laboratory of Petroleomics and Forensics, Universidade Federal Do Espírito Santo (UFES), Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil
- Instituto Nacional de Ciência E Tecnologia Forense (INCT Forense), Vila Velha, Brazil
| | - Valdemar Lacerda
- Laboratory of Petroleomics and Forensics, Universidade Federal Do Espírito Santo (UFES), Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil
| | - Xin Ma
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Facundo M Fernández
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Wanderson Romão
- Laboratory of Petroleomics and Forensics, Universidade Federal Do Espírito Santo (UFES), Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
- Instituto Nacional de Ciência E Tecnologia Forense (INCT Forense), Vila Velha, Brazil.
- Instituto Federal Do Espírito Santo (IFES), Av. Ministro Salgado Filho, Soteco, Vila Velha, Espírito Santo, 29106-010, Brazil.
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2
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Šedo O, Roblíčková A, Ježek F, Gintar P, Kameník J, Zdráhal Z. Discriminatory power of MALDI-TOF MS protein profiling analysis of pork meat and meat products. Food Chem 2024; 449:139155. [PMID: 38608601 DOI: 10.1016/j.foodchem.2024.139155] [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: 12/18/2023] [Revised: 03/08/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
Forty different sample preparation methods were tested to obtain the most informative MALDI-TOF MS protein profiles of pork meat. Extraction by 25% formic acid with the assistance of zirconia-silica beads followed by defatting by methanol:chloroform mixture (1:1, v/v) and deposition by using the layer-by-layer method was determined as the optimum sample preparation protocol. The discriminatory power of the method was then examined on samples of pork meat and meat products. The method was able to discriminate between selected salami based on the production method and brand and was able to monitor the ripening process in salami. However, it was not able to differentiate between different brands of pork ham or closely located parts of pork meat. In the latter case, a more comprehensive analysis using LC-MS/MS was used to assess the differences in protein abundance and their relation to the outputs of MALDI - TOF MS profiling.
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Affiliation(s)
- Ondrej Šedo
- Masaryk University, Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic.
| | - Alena Roblíčková
- Masaryk University, Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic
| | - František Ježek
- University of Veterinary Sciences Brno, Faculty of Veterinary Hygiene and Ecology, Palackého tř. 1946/1, 612 42 Brno, Czech Republic.
| | - Petr Gintar
- Masaryk University, Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic; Masaryk University, Faculty of Science, National Centre for Biomolecular Research, Kamenice 5, 625 00 Brno, Czech Republic.
| | - Josef Kameník
- University of Veterinary Sciences Brno, Faculty of Veterinary Hygiene and Ecology, Palackého tř. 1946/1, 612 42 Brno, Czech Republic.
| | - Zbyněk Zdráhal
- Masaryk University, Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic; Masaryk University, Faculty of Science, National Centre for Biomolecular Research, Kamenice 5, 625 00 Brno, Czech Republic.
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Haider A, Iqbal SZ, Bhatti IA, Alim MB, Waseem M, Iqbal M, Mousavi Khaneghah A. Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review. Compr Rev Food Sci Food Saf 2024; 23:e13360. [PMID: 38741454 DOI: 10.1111/1541-4337.13360] [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: 02/05/2024] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024]
Abstract
Food authentication and contamination are significant concerns, especially for consumers with unique nutritional, cultural, lifestyle, and religious needs. Food authenticity involves identifying food contamination for many purposes, such as adherence to religious beliefs, safeguarding health, and consuming sanitary and organic food products. This review article examines the issues related to food authentication and food fraud in recent periods. Furthermore, the development and innovations in analytical techniques employed to authenticate various food products are comprehensively focused. Food products derived from animals are susceptible to deceptive practices, which can undermine customer confidence and pose potential health hazards due to the transmission of diseases from animals to humans. Therefore, it is necessary to employ suitable and robust analytical techniques for complex and high-risk animal-derived goods, in which molecular biomarker-based (genomics, proteomics, and metabolomics) techniques are covered. Various analytical methods have been employed to ascertain the geographical provenance of food items that exhibit rapid response times, low cost, nondestructiveness, and condensability.
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Affiliation(s)
- Ali Haider
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Shahzad Zafar Iqbal
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Ijaz Ahmad Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | | | - Muhammad Waseem
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Munawar Iqbal
- Department of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan
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4
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Chien HJ, Zheng YF, Wang WC, Kuo CY, Hsu YM, Lai CC. Determination of adulteration, geographical origins, and species of food by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:2273-2323. [PMID: 35652168 DOI: 10.1002/mas.21780] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 06/15/2023]
Abstract
Food adulteration, mislabeling, and fraud, are rising global issues. Therefore, a number of precise and reliable analytical instruments and approaches have been proposed to ensure the authenticity and accurate labeling of food and food products by confirming that the constituents of foodstuffs are of the kind and quality claimed by the seller and manufacturer. Traditional techniques (e.g., genomics-based methods) are still in use; however, emerging approaches like mass spectrometry (MS)-based technologies are being actively developed to supplement or supersede current methods for authentication of a variety of food commodities and products. This review provides a critical assessment of recent advances in food authentication, including MS-based metabolomics, proteomics and other approaches.
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Affiliation(s)
- Han-Ju Chien
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yi-Feng Zheng
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Chen Wang
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Cheng-Yu Kuo
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Ming Hsu
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Chien-Chen Lai
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
- Graduate Institute of Chinese Medical Science, China Medical University, Taichung, Taiwan
- Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
- Rong Hsing Research Center For Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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5
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De Graeve M, Birse N, Hong Y, Elliott CT, Hemeryck LY, Vanhaecke L. Multivariate versus machine learning-based classification of rapid evaporative Ionisation mass spectrometry spectra towards industry based large-scale fish speciation. Food Chem 2023; 404:134632. [DOI: 10.1016/j.foodchem.2022.134632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/20/2022] [Accepted: 10/13/2022] [Indexed: 11/22/2022]
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Dierickx K, Presslee S, Harvey VL. Rapid collagen peptide mass fingerprinting as a tool to authenticate Pleuronectiformes in the food industry. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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Pu K, Qiu J, Tong Y, Liu B, Cheng Z, Chen S, Ni WX, Lin Y, Ng KM. Integration of Non-targeted Proteomics Mass Spectrometry with Machine Learning for Screening Cooked Beef Adulterated Samples. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:2173-2182. [PMID: 36584280 DOI: 10.1021/acs.jafc.2c06266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The degradation of ingredients in heat-processed meat products makes their authentication challenging. In this study, protein profiles of raw beef, chicken, duck, pork, and binary simulated adulterated beef samples (chicken-beef, duck-beef, and pork-beef) and their heat-processed samples were obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Heat-stable characteristic proteins were found by screening the overlapping characteristic protein ion peaks of the raw and corresponding heat-processed samples, which were discovered by partial least-squares discriminant analysis. Based on the 36 heat-stable characteristic proteins, qualitative classification for the raw and heat-processed meats was achieved by extreme gradient boosting. Moreover, quantitative analysis via partial least squares regression was applied to determine the adulteration ratio of the simulated adulterated beef samples. The validity of the approach was confirmed by a blind test with the mean accuracy of 97.4%. The limit of detection and limit of quantification of this method were determined to be 5 and 8%, respectively, showing its practical aspect for the beef authentication.
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Affiliation(s)
- Keyuan Pu
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Jiamin Qiu
- Department of Biology, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Yongqi Tong
- Department of Biology, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Bolin Liu
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Zibin Cheng
- Department of Biology, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Siyu Chen
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong Province 515063, P. R. China
| | - Wen-Xiu Ni
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou, Guangdong Province 515041, P. R. China
| | - Yan Lin
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province 515041, P. R. China
| | - Kwan-Ming Ng
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong Province 515063, P. R. China
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Galindo-Luján R, Pont L, Sanz-Nebot V, Benavente F. Protein profiling and classification of commercial quinoa grains by MALDI-TOF-MS and chemometrics. Food Chem 2023; 398:133895. [DOI: 10.1016/j.foodchem.2022.133895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 07/28/2022] [Accepted: 08/06/2022] [Indexed: 11/29/2022]
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Yin X, Xing R, Li Z, Hu B, Yang L, Deng R, Cao J, Chen Y. Real-time qPCR for the detection of puffer fish components from Lagocephalus in food: L. inermis, L. lagocephalus, L. gloveri, L. lunaris, and L. spadiceus. Front Nutr 2022; 9:1068767. [PMID: 36545464 PMCID: PMC9760932 DOI: 10.3389/fnut.2022.1068767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 12/11/2022] Open
Abstract
Puffer fish is a type of precious high-end aquatic product, is widely popular in Asia, especially in China and Japan, even though it naturally harbors a neurotoxin known as tetrodotoxin (TTX) that is poisonous to humans and causes food poisoning. With the increasing trade demand, which frequently exceeds existing supply capacities, fostering fraudulent practices, such as adulteration of processed products with non-certified farmed wild puffer fish species. To determine the authenticity of puffer fish processed food, we developed a real-time qPCR method to detect five common puffer fish species in aquatic products: Lagocephalus inermis, Lagocephalus lagocephalus, Lagocephalus gloveri, Lagocephalus lunaris, and Lagocephalus spadiceus. The specificity, cross-reactivity, detection limit, efficiency, and robustness of the primers and probes created for five species of puffer fish using TaqMan technology have been determined. No cross-reactivity was detected in the DNA of non-target sample materials, and no false-positive signal was detected; the aquatic products containing 0.1% of a small amount of wild puffer fish materials without certification can be reliably tracked; the statistical p-value for each method's Ct value was greater than 0.05. The developed qPCR method was sensitive, highly specific, robust, and reproducibility, which could be used to validate the authenticity of wild puffer fish in aquatic products sold for commercial purposes.
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Affiliation(s)
- Xinying Yin
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhiru Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Bing Hu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Lili Yang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ruijie Deng
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing, China
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Šebela M. Biomolecular Profiling by MALDI-TOF Mass Spectrometry in Food and Beverage Analyses. Int J Mol Sci 2022; 23:13631. [PMID: 36362416 PMCID: PMC9654121 DOI: 10.3390/ijms232113631] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/20/2022] [Accepted: 11/02/2022] [Indexed: 09/08/2024] Open
Abstract
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has frequently been applied to the analysis of biomolecules. Its strength resides not only in compound identification but particularly in acquiring molecular profiles providing a high discriminating power. The main advantages include its speed, simplicity, versatility, minimum sample preparation needs, and a relatively high tolerance to salts. Other benefits are represented by the possibility of automation, high throughput, sensitivity, accuracy, and good reproducibility, allowing quantitative studies. This review deals with the prominent use of MALDI-TOF MS profiling in food and beverage analysis ranging from the simple detection of sample constituents to quantifications of marker compounds, quality control, and assessment of product authenticity. This review summarizes relevant discoveries that have been obtained with milk and milk products, edible oils, wine, beer, flour, meat, honey, and other alimentary products. Marker molecules are specified: proteins and peptides for milk, cheeses, flour, meat, wine and beer; triacylglycerols and phospholipids for oils; and low-molecular-weight metabolites for wine, beer and chocolate. Special attention is paid to sample preparation techniques and the combination of spectral profiling and statistical evaluation methods, which is powerful for the differentiation of samples and the sensitive detection of frauds and adulterations.
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Affiliation(s)
- Marek Šebela
- Department of Biochemistry, Faculty of Science, Palacký University, Šlechtitelů 27, CZ-783 71 Olomouc, Czech Republic
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Popping B, Buck N, Bánáti D, Brereton P, Gendel S, Hristozova N, Chaves SM, Saner S, Spink J, Willis C, Wunderlin D. Food inauthenticity: Authority activities, guidance for food operators, and mitigation tools. Compr Rev Food Sci Food Saf 2022; 21:4776-4811. [PMID: 36254736 DOI: 10.1111/1541-4337.13053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 01/28/2023]
Abstract
Historically, food fraud was a major public health concern which helped drive the development of early food regulations in many markets including the US and EU market. In the past 10 years, the integrity of food chains with respect to food fraud has again been questioned due to high profile food fraud cases. We provide an overview of the resulting numerous authoritative activities underway within different regions to counter food fraud, and we describe the guidance available to the industry to understand how to assess the vulnerability of their businesses and implement appropriate mitigation. We describe how such controls should be an extension of those already in place to manage wider aspects of food authenticity, and we provide an overview of relevant analytical tools available to food operators and authorities to protect supply chains. Practical Application: Practical Application of the provided information by the food industry in selecting resources (guidance document, analytical methods etc.).
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Affiliation(s)
- Bert Popping
- FOCOS - Food Consulting Strategically, Alzenau, Germany
| | - Neil Buck
- General Mills Inc., Nyon, Switzerland
| | - Diána Bánáti
- Faculty of Engineering, University of Szeged, Szeged, Hungary
| | - Paul Brereton
- Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland
| | - Steven Gendel
- Gendel Food Safety LLC, Silver Spring, Maryland, USA
| | | | - Sandra Mourinha Chaves
- BioISI-Biosystems and Integrative Sciences Institute, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | - Samim Saner
- Mérieux NutriSciences, Tassin la Demi-Lune, France
| | - John Spink
- Department of Supply Chain Management, Michigan State University, East Lansing, Michigan, USA
| | | | - Daniel Wunderlin
- Universidad Nacional de Córdoba, Facultad de Ciencias Químicas, Departamento de Química Orgánica, Edificio Cs. II, Ciudad Universitaria, Córdoba, Argentina
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Pu K, Qiu J, Li J, Huang W, Lai X, Liu C, Lin Y, Ng KM. MALDI-TOF MS Protein Profiling Combined with Multivariate Analysis for Identification and Quantitation of Beef Adulteration. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02403-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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13
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Afzaal M, Saeed F, Hussain M, Shahid F, Siddeeg A, Al‐Farga A. Proteomics as a promising biomarker in food authentication, quality and safety: A review. Food Sci Nutr 2022; 10:2333-2346. [PMID: 35844910 PMCID: PMC9281926 DOI: 10.1002/fsn3.2842] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 02/07/2022] [Accepted: 03/12/2022] [Indexed: 12/18/2022] Open
Abstract
Adulteration and mislabeling have become a very common global malpractice in food industry. Especially foods of animal origin are prepared from plant sources and intentionally mislabeled. This type of mislabeling is an important concern in food safety as the replaced ingredients may cause a food allergy or toxicity to vulnerable consumers. Moreover, foodborne pathogens also pose a major threat to food safety. There is a dire need to develop strong analytical tools to deal with related issues. In this context, proteomics stands out as a promising tool used to report the aforementioned issues. The development in the field of omics has inimitable advantages in enabling the understanding of various biological fields especially in the discipline of food science. In this review, current applications and the role of proteomics in food authenticity, safety, and quality and food traceability are highlighted comprehensively. Additionally, the other components of proteomics have also been comprehensively described. Furthermore, this review will be helpful in the provision of new intuition into the use of proteomics in food analysis. Moreover, the pathogens in food can also be identified based on differences in their protein profiling. Conclusively, proteomics, an indicator of food properties, its origin, the processes applied to food, and its composition are also the limelight of this article.
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Affiliation(s)
- Muhammad Afzaal
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Farhan Saeed
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Muzzamal Hussain
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Farheen Shahid
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Azhari Siddeeg
- Department of Food Engineering and TechnologyFaculty of Engineering and TechnologyUniversity of GeziraWad MedaniSudan
| | - Ammar Al‐Farga
- Department of BiochemistryCollege of SciencesUniversity of JeddahJeddahSaudi Arabia
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Ni X, Li X, Ran G, Chen J, Jiang X, Sun J, Bai W. Determination of the geographical origin of Trachinotus ovatus and Pampus argenteus in China by multi-element and stable isotope analysis. Food Chem 2022; 394:133457. [PMID: 35716499 DOI: 10.1016/j.foodchem.2022.133457] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/11/2022] [Accepted: 06/08/2022] [Indexed: 11/15/2022]
Abstract
This study aimed to determine whether Trachinotus ovatus and Pampus argenteus could be differentiated by multi-element composition or stable isotope ratio analysis of δ13C and δ15N. The multi-element analysis values of a total of 60 Pampus argenteus samples from three sites and 60 Trachinotus ovatus samples from four sites around China were determined, and the other 60 samples of Pampus argenteus and 51 samples of Trachinotus ovatus were tested by principal component analysis (PCA) to estimate the accuracy of origin identification. The results showed that the cross-validation accuracy rate is 92.2% for the Pampus argenteus and 98.3% for the Trachinotus ovatus. Stable isotope analysis of δ13C and δ15N also can distinguish Trachinotus ovatus from different geographical origins. These results showed that the usefulness of multi-element and stable isotope analysis as indicators for authenticating the geographical origin of two pomfrets in China.
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Affiliation(s)
- Xinyu Ni
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China
| | - Xuyan Li
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China
| | - Guojing Ran
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China
| | - Jiali Chen
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China
| | - Xinwei Jiang
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China
| | - Jianxia Sun
- School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, PR China
| | - Weibin Bai
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Guangdong Engineering Technology Center of Food Safety Molecular Rapid Detection, Jinan University, Guangdong, China.
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16
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Food forensics: techniques for authenticity determination of food products. Forensic Sci Int 2022; 333:111243. [DOI: 10.1016/j.forsciint.2022.111243] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 12/21/2022]
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Aus der § 64 LFGB-Arbeitsgruppe MALDI-TOF: Leitlinien für die Validierung von Spezies-Identifizierungen mittels MALDI-TOF-MS. J Verbrauch Lebensm 2021. [DOI: 10.1007/s00003-021-01353-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractMatrix-assisted laser-desorption/ionization-time-of-flight-mass-spectrometry (MALDI-TOF-MS) is widely used to identify microorganisms. Recently, new applications such as identification of the animal species from meat, milk or fish are emerging. Standards for the validation of species identifications are still missing. Now, the § 64-LFGB working-group “MALDI-TOF”, established at the Federal Office of Consumer Protection and Food Safety, has compiled a guideline for the validation of species identifications. This guideline is intended for single laboratories as well as for lab networks and shows practical ways for validation of qualitative MALDI-TOF-MS methods. The special opportunities of the technology, in particular the use of extended reference databases and of collections of well-documented individual spectra for validation, have been taken into account in the guideline presented.
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Brooks C, Parr L, Smith JM, Buchanan D, Snioch D, Hebishy E. A review of food fraud and food authenticity across the food supply chain, with an examination of the impact of the COVID-19 pandemic and Brexit on food industry. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108171] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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19
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Chien HJ, Huang YH, Zheng YF, Wang WC, Kuo CY, Wei GJ, Lai CC. Proteomics for species authentication of cod and corresponding fishery products. Food Chem 2021; 374:131631. [PMID: 34838403 DOI: 10.1016/j.foodchem.2021.131631] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 11/27/2022]
Abstract
Seafood substitutions is a global problem and come under the spotlight in recent years. In Taiwan, Greenland halibut is usually substituted for the cod because of its lower price. Nowadays, DNA technology is widely used for fish species identifications; however, it still has concern about the DNA of processed fishery products might be destroyed. This study was designed to develop a proteomic-based method for fish and fishery product authentication by using ultra performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS) with Sequential window acquisition of all theoretical fragment ion spectra (SWATH). The protein biomarkers from the meat of Alaska pollock, Atlantic cod, and Greenland halibut were identified and validated for species authentication of cod and corresponding fishery products, which might prevent consumer substitutions and fish product mislabeling. Besides, the E. coli proteins can be measured from existing SWATH-MS data though retrospective analysis successfully, it might present the quality of fish meat.
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Affiliation(s)
- Han-Ju Chien
- Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
| | - Yu-Han Huang
- Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei 11221, Taiwan.
| | - Yi-Feng Zheng
- Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
| | - Wei-Chen Wang
- Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
| | - Cheng-Yu Kuo
- Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
| | - Guor-Jien Wei
- Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei 11221, Taiwan; Metabolomics-Proteomics Research Center, National Yang-Ming University, Taipei 11221, Taiwan.
| | - Chien-Chen Lai
- Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan; Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung 40227, Taiwan; Graduate Institute of Chinese Medical Science, China Medical University, Taichung 40402, Taiwan.
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20
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Detection of Frozen-Thawed Duck Fatty Liver by MALDI-TOF Mass Spectrometry: A Chemometrics Study. Molecules 2021; 26:molecules26123508. [PMID: 34207540 PMCID: PMC8229872 DOI: 10.3390/molecules26123508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 11/17/2022] Open
Abstract
The marketing of poultry livers is only authorized as fresh, frozen, or deep-frozen. The higher consumer demand for these products for a short period of time may lead to the marketing of frozen–thawed poultry livers: this constitutes fraud. The aim of this study was to design a method for distinguishing frozen–thawed livers from fresh livers. For this, the spectral fingerprint of liver proteins was acquired using Matrix-Assisted Laser Dissociation Ionization-Time-Of-Flight mass spectrometry. The spectra were analyzed using the chemometrics approach. First, principal component analysis studied the expected variability of commercial conditions before and after freezing–thawing. Then, the discriminant power of spectral fingerprint of liver proteins was assessed using supervised model generation. The combined approach of mass spectrometry and chemometrics successfully described the evolution of protein profile during storage time, before and after freezing-thawing, and successfully discriminated the fresh and frozen–thawed livers. These results are promising in terms of fraud detection, providing an opportunity for implementation of a reference method for agencies to fight fraud.
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21
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MALDI-TOF Mass Spectrometry Applications for Food Fraud Detection. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11083374] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Chemical analysis of food products relating to the detection of the most common frauds is a complex task due to the complexity of the matrices and the unknown nature of most processes. Moreover, frauds are becoming more and more sophisticated, making the development of reliable, rapid, cost-effective new analytical methods for food control even more pressing. Over the years, MALDI-TOF MS has demonstrated the potential to meet this need, also due to a series of undeniable intrinsic advantages including ease of use, fast data collection, and capability to obtain valuable information even from complex samples subjected to simple pre-treatment procedures. These features have been conveniently exploited in the field of food frauds in several matrices, including milk and dairy products, oils, fish and seafood, meat, fruit, vegetables, and a few other categories. The present review provides a comprehensive overview of the existing MALDI-based applications for food quality assessment and detection of adulterations.
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22
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Rapid animal species identification of feta and mozzarella cheese using MALDI-TOF mass-spectrometry. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107349] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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23
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Rossel S, Barco A, Kloppmann M, Martínez Arbizu P, Huwer B, Knebelsberger T. Rapid species level identification of fish eggs by proteome fingerprinting using MALDI-TOF MS. J Proteomics 2020; 231:103993. [PMID: 32971306 DOI: 10.1016/j.jprot.2020.103993] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/27/2020] [Accepted: 09/18/2020] [Indexed: 11/29/2022]
Abstract
Quantifying spawning biomass of commercially relevant fish species is important to generate fishing quotas. This will mostly rely on the annual or daily production of fish eggs. However, these have to be identified precisely to species level to obtain a reliable estimate of offspring production of the different species. Because morphological identification can be very difficult, recent developments are heading towards application of molecular tools. Methods such as COI barcoding have long handling times and cause high costs for single specimen identifications. In order to test MALDI-TOF MS, a rapid and cost-effective alternative for species identification, we identified fish eggs using COI barcoding and used the same specimens to set up a MALDI-TOF MS reference library. This library, constructed from two different MALDI-TOF MS instruments, was then used to identify unknown eggs from a different sampling occasion. By using a line of evidence from hierarchical clustering and different supervised identification approaches we obtained concordant species identifications for 97.5% of the unknown fish eggs, proving MALDI-TOF MS a good tool for rapid species level identification of fish eggs. At the same time we point out the necessity of adjusting identification scores of supervised methods for identification to optimize identification success. SIGNIFICANCE: Fish products are commercially highly important and many societies rely on them as a major food resource. Over many decades stocks of various relevant fish species have been reduced due to unregulated overfishing. Nowadays, to avoid overfishing and threatening of important fish species, fish stocks are regularly monitored. One component of this monitoring is the monitoring of spawning stock sizes. Whereas this is highly dependent on correct species identification of fish eggs, morphological identification is difficult because of lack of morphological features.
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Affiliation(s)
- Sven Rossel
- Senckenberg am Meer, German Centre for Marine Biodiversity Research (DZMB), Südstrand 44, 26382 Wilhelmshaven, Germany.
| | - Andrea Barco
- biome-ID, Südstrand 44, 26382 Wilhelmshaven, Germany
| | - Matthias Kloppmann
- Thünen Institut für Seefischerei, Herwigstraße 31, 27572, Bremerhaven, Germany
| | - Pedro Martínez Arbizu
- Senckenberg am Meer, German Centre for Marine Biodiversity Research (DZMB), Südstrand 44, 26382 Wilhelmshaven, Germany
| | - Bastian Huwer
- Technical University of Denmark, National Institute of Aquatic Resources, Kemitorvet, Bygning 202, 2800 Kgs. Lyngby, Denmark
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Wang C, Bi H, Xie J. Visualization of the Distance among Fishes by MALDI MS for Rapid Determination of the Taxonomic Status of Fish Fillets. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:8438-8446. [PMID: 32648743 DOI: 10.1021/acs.jafc.0c01291] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Taxonomic research plays an important role in the classification of organisms. Molecular techniques provide useful tools for the determination of the taxonomic status of species, although often time-consuming and not cost-efficient. Herein, we developed a strategy to analyze fish samples in a rapid mode. Experimentally, fish fillet samples were pretreated with trifluoroacetic acid aqueous solution, and the obtained protein fraction was analyzed by matrix-assisted laser desorption/ionization mass spectrometry. Principal component analysis of mass spectrometric datasets was used to visualize the taxonomical distance among the analyzed 13 seafood species. The results were illustrated using treemaps where the fish relationship distance can be visualized. The obtained mass spectral results can be taken as reference and successfully used for the identification of unknown fish fillet samples. It is promising to utilize the present strategy to provide clues for the taxonomy study among ambiguous species and identify fish species.
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Affiliation(s)
- Chengyu Wang
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
| | - Hongyan Bi
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
| | - Jing Xie
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
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25
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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26
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Testing the Applicability of MALDI-TOF MS as an Alternative Stock Identification Method in a Cryptic Species Complex. Molecules 2020; 25:molecules25143214. [PMID: 32674457 PMCID: PMC7397217 DOI: 10.3390/molecules25143214] [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: 06/09/2020] [Revised: 07/01/2020] [Accepted: 07/12/2020] [Indexed: 11/16/2022] Open
Abstract
Knowledge of intraspecific variability of a certain species is essential for their long-term survival and for the development of conservation plans. Nowadays, molecular/genetic methods are the most frequently used for this purpose. Although, the Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) technique has become a promising alternative tool to specify intraspecific variability, there is a lack of information about the limitations of this method, and some methodological issues need to be resolved. Towards this goal, we tested the sensitivity of this method on an intraspecific level, using genetically identified individuals of a cryptic fish species complex collected from five distinct populations. Additionally, some methodologic issues, such as the effect of (1) delayed sample preparation, (2) clove oil anaesthetization, and (3) different tissue types (muscle, and brain) were investigated using the MS analysis results. Our results show that the delayed sample preparation has a fundamental effect on the result of MS analysis, while at the same time the clove oil did not affect the results considerably. Both the brain and muscle samples were usable for cryptic species identification, but in our opinion this method has limited applicability for population-level segregation. The application of MALDI-TOF MS to the exploitable toolkit of phylogenetic and taxonomic researches could be used to broaden conclusions.
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27
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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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28
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Yan W, Qian J, Ge Y, Ye K, Zhou C, Zhang H. Principal component analysis of MALDI-TOF MS of whole-cell foodborne pathogenic bacteria. Anal Biochem 2020; 592:113582. [PMID: 31935357 DOI: 10.1016/j.ab.2020.113582] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/08/2020] [Accepted: 01/11/2020] [Indexed: 12/11/2022]
Abstract
The rapid and accurate identification of foodborne pathogenic bacteria is of great importance for human health. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) can be used to rapidly and sensitively identify microorganisms but is limited by the expensive protein databases available. In this study, we established a whole-cell method for the identification of foodborne pathogenic bacteria, using MALDI-TOF MS and principal component analysis (PCA), which did not use protein extractions or expensive protein databases. Thirty strains comprising six common foodborne pathogenic bacteria, namely, Shigella flexneri, Escherichia coli, Staphylococcus aureus, Salmonella enteritidis, Pseudomonas aeruginosa, and Listeria monocytogenes were analyzed using MALDI-TOF MS. The culture time, matrix, and spotting method were optimized based on peak intensity and deviation. A PCA was performed to analyze the mass spectrometry results of six samples and proved capable of identifying significant changes in those samples. It was found that directly applying MALDI-TOF MS analysis to whole-cell bacteria, without protein extraction, exhibited rich peak contents and a high level of reproducibility. MALDI-TOF MS combined with PCA is a promising method of rapidly identifying pathogens in food products.
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Affiliation(s)
- Wenjing Yan
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jing Qian
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yongjie Ge
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - Keping Ye
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - Cunshan Zhou
- School of Food and Biological Engineering, Jiangsu University, No.301 Xuefu Road, Zhenjiang, 212013, China
| | - Houseng Zhang
- Physics and Chemistry Testing Center of Jiangsu Province, Nutrients and Toxic Testing Center of Jiangsu Province,Nanjing, 210042, China.
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29
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Kuo TH, Kuei MS, Hsiao Y, Chung HH, Hsu CC, Chen HJ. Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Typings of Edible Oils through Spectral Networking of Triacylglycerol Fingerprints. ACS OMEGA 2019; 4:15734-15741. [PMID: 31572877 PMCID: PMC6761802 DOI: 10.1021/acsomega.9b02433] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 08/28/2019] [Indexed: 06/10/2023]
Abstract
Adulteration of edible oils by the manufacturers has been found frequently in modern societies. Due to the complexity of the chemical contents in edible oils, it is challenging to quantitatively determine the extent of adulteration and prove the authenticity of edible oils. In this study, a robust and simple MALDI-TOF-MS platform for rapid fingerprinting of triacylglycerols (TAGs) in edible oils was developed, where spectral similarity analysis was performed to quantitatively reveal correlations among edible oils in the chemical level. Specifically, we proposed oil networking, a spectral similarity-based illustration, which enabled reliable classifications of tens of commercial edible oils from vegetable and animal origins. The strategy was superior to traditional multivariate statistics due to its high sensitivity in probing subtle changes in TAG profiles, as further demonstrated by the success in determination of the adulterated lard in a food fraud in Taiwan. Finally, we showed that the platform allowed quantitative assessment of the binary mixture of olive oil and canola oil, which is a common type of olive oil adulteration in the market. Overall, these results suggested a novel strategy for chemical fingerprint-based quality control and authentication of oils in the food industry.
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Affiliation(s)
- Ting-Hao Kuo
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Min-Shan Kuei
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Yi Hsiao
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Hsin-Hsiang Chung
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Cheng-Chih Hsu
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
| | - Hong-Jhang Chen
- Department
of Chemistry, Institute of Food
Science and Technology, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan
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30
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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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31
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Böhme K, Calo-Mata P, Barros-Velázquez J, Ortea I. Recent applications of omics-based technologies to main topics in food authentication. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2018.11.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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32
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Silva CJ. Food Forensics: Using Mass Spectrometry To Detect Foodborne Protein Contaminants, as Exemplified by Shiga Toxin Variants and Prion Strains. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:8435-8450. [PMID: 29860833 DOI: 10.1021/acs.jafc.8b01517] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Food forensicists need a variety of tools to detect the many possible food contaminants. As a result of its analytical flexibility, mass spectrometry is one of those tools. Use of the multiple reaction monitoring (MRM) method expands its use to quantitation as well as detection of infectious proteins (prions) and protein toxins, such as Shiga toxins. The sample processing steps inactivate prions and Shiga toxins; the proteins are digested with proteases to yield peptides suitable for MRM-based analysis. Prions are detected by their distinct physicochemical properties and differential covalent modification. Shiga toxin analysis is based on detecting peptides derived from the five identical binding B subunits comprising the toxin. 15N-labeled internal standards are prepared from cloned proteins. These examples illustrate the power of MRM, in that the same instrument can be used to safely detect and quantitate protein toxins, prions, and small molecules that might contaminate our food.
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Affiliation(s)
- Christopher J Silva
- Produce Safety and Microbiology Research Unit, Western Regional Research Center, Agricultural Research Service , United States Department of Agriculture , Albany , California 94710 , United States
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33
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Discrimination and quantification of homologous keratins from goat and sheep with dual protease digestion and PRM assays. J Proteomics 2018; 186:38-46. [DOI: 10.1016/j.jprot.2018.07.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 07/03/2018] [Accepted: 07/13/2018] [Indexed: 01/25/2023]
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34
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Creydt M, Fischer M. Omics approaches for food authentication. Electrophoresis 2018; 39:1569-1581. [DOI: 10.1002/elps.201800004] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 03/07/2018] [Accepted: 03/07/2018] [Indexed: 12/14/2022]
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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35
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Martinović T, Šrajer Gajdošik M, Josić D. Sample preparation in foodomic analyses. Electrophoresis 2018; 39:1527-1542. [DOI: 10.1002/elps.201800029] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 03/12/2018] [Accepted: 03/27/2018] [Indexed: 12/30/2022]
Affiliation(s)
| | | | - Djuro Josić
- Department of Biotechnology; University of Rijeka; Rijeka Croatia
- Department of Medicine; Brown Medical School; Brown University; Providence RI USA
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36
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Tedeschi T, Prandi B, Buhler S, Caligiani A, Galaverna G, Sforza S. Peptides as probes for food authentication. Pept Sci (Hoboken) 2018. [DOI: 10.1002/pep2.24068] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Tullia Tedeschi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Barbara Prandi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
- Department of Human Sciences and Quality of Life Promotion, via Val Cannuta 247Telematic University San Raffaele RomaRome Italy
| | - Sofie Buhler
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Augusta Caligiani
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Gianni Galaverna
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Stefano Sforza
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
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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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