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Díaz-Galiano FJ, Murcia-Morales M, Fernández-Alba AR. From sound check to encore: A journey through high-resolution mass spectrometry-based food analyses and metabolomics. Compr Rev Food Sci Food Saf 2024; 23:e13325. [PMID: 38532695 DOI: 10.1111/1541-4337.13325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/28/2024]
Abstract
This manuscript presents a comprehensive review of high-resolution mass spectrometry in the field of food analysis and metabolomics. We have followed the historical evolution of metabolomics, its associated techniques and technologies, and its increasing role in food science and research. The review provides a critical comparison and synthesis of tentative identification guidelines proposed for over 15 years, offering a condensed resource for researchers in the field. We have also examined a wide range of recent metabolomics studies, showcasing various methodologies and highlighting key findings as a testimony of the versatility of the field and the possibilities it offers. In doing so, we have also carefully provided a compilation of the software tools that may be employed in this type of studies. The manuscript also explores the prospects of high-resolution mass spectrometry and metabolomics in food science. By covering the history, guidelines, applications, and tools of metabolomics, this review attempts to become a comprehensive guide for researchers in a rapidly evolving field.
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Affiliation(s)
- Francisco José Díaz-Galiano
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
| | - María Murcia-Morales
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
| | - Amadeo Rodríguez Fernández-Alba
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
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2
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Drakopoulou SK, Kritikou AS, Baessmann C, Thomaidis NS. Untargeted 4D-metabolomics using Trapped Ion Mobility combined with LC-HRMS in extra virgin olive oil adulteration study with lower-quality olive oils. Food Chem 2024; 434:137410. [PMID: 37708573 DOI: 10.1016/j.foodchem.2023.137410] [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: 11/07/2022] [Revised: 08/28/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023]
Abstract
Metabolomics is widely established in the field of food authenticity to address demanding issues, such as adulteration cases. Trapped ion mobility spectrometry (TIMS) coupled to liquid chromatography (LC) and high-resolution mass spectrometry (HRMS) provides an additional analytical dimension, introducing mobility-enhanced metabolomics in four dimensions (4D). In the present work, the potential of LC-TIMS-HRMS as a reliable analytical platform for authenticity studies is being explored, applied in extra virgin olive oil (EVOO) adulteration study. An integrated untargeted 4D-metabolomics approach is being implemented to investigate adulteration, with refined olive oils (ROOs) and olive pomace oils (OPOs) set as adulterants. Robust prediction models are built, successfully discriminating authentic EVOOs from adulterated ones and highlighting markers in each group. Noteworthy outcomes are retrieved regarding TIMS added value in LC-HRMS workflows, resulting in a significant increase of metabolic coverage, while, thanks to platform's enhanced sensitivity, detection of adulteration is being achieved down to 1%.
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Affiliation(s)
- Sofia K Drakopoulou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece
| | - Anastasia S Kritikou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece
| | | | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece.
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3
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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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4
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Cui C, Xia M, Wei Z, Chen J, Peng C, Cai H, Jin L, Hou R. 1H NMR-based metabolomic approach combined with machine learning algorithm to distinguish the geographic origin of huajiao (Zanthoxylum bungeanum Maxim.). Food Control 2023. [DOI: 10.1016/j.foodcont.2022.109476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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5
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Gao Y, Cui N, Liu J, Ma Q, Zhao T, Yang Z, Zhao H, Zhang B, Liang L. Application of metabolomics to explore the automatic oxidation process of hazelnut oil. Food Res Int 2022; 162:111888. [DOI: 10.1016/j.foodres.2022.111888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 11/04/2022]
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6
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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: 0] [Impact Index Per Article: 0] [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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7
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Mialon N, Roig B, Capodanno E, Cadiere A. Untargeted metabolomic approaches in food authenticity: a review that showcases biomarkers. Food Chem 2022; 398:133856. [DOI: 10.1016/j.foodchem.2022.133856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 11/26/2022]
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8
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Dou X, Zhang L, Yang R, Wang X, Yu L, Yue X, Ma F, Mao J, Wang X, Zhang W, Li P. Mass spectrometry in food authentication and origin traceability. MASS SPECTROMETRY REVIEWS 2022:e21779. [PMID: 35532212 DOI: 10.1002/mas.21779] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 03/10/2022] [Accepted: 04/15/2022] [Indexed: 06/14/2023]
Abstract
Food authentication and origin traceability are popular research topics, especially as concerns about food quality continue to increase. Mass spectrometry (MS) plays an indispensable role in food authentication and origin traceability. In this review, the applications of MS in food authentication and origin traceability by analyzing the main components and chemical fingerprints or profiles are summarized. In addition, the characteristic markers for food authentication are also reviewed, and the advantages and disadvantages of MS-based techniques for food authentication, as well as the current trends and challenges, are discussed. The fingerprinting and profiling methods, in combination with multivariate statistical analysis, are more suitable for the authentication of high-value foods, while characteristic marker-based methods are more suitable for adulteration detection. Several new techniques have been introduced to the field, such as proton transfer reaction mass spectrometry, ambient ionization mass spectrometry (AIMS), and ion mobility mass spectrometry, for the determination of food adulteration due to their fast and convenient analysis. As an important trend, the miniaturization of MS offers advantages, such as small and portable instrumentation and fast and nondestructive analysis. Moreover, many applications in food authentication are using AIMS, which can help food authentication in food inspection/field analysis. This review provides a reference and guide for food authentication and traceability based on MS.
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Affiliation(s)
- Xinjing Dou
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Liangxiao Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Ruinan Yang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Xiao Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Li Yu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Xiaofeng Yue
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Fei Ma
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Nanjing University of Finance and Economics, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, China
| | - Jin Mao
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Xiupin Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Wen Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Nanjing University of Finance and Economics, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, China
| | - Peiwu Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
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Bachmann R, Horns AL, Paasch N, Schrieck R, Weidner M, Fransson I, Schrör JP. Minor metabolites as chemical marker for the differentiation of cane, beet and coconut blossom sugar. From profiling towards identification of adulterations. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108832] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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10
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1H NMR and chemometric methods in verification of hemp-seed oil quality. J Pharm Biomed Anal 2022; 212:114650. [DOI: 10.1016/j.jpba.2022.114650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 11/23/2022]
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11
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Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches. Foods 2022; 11:foods11010113. [PMID: 35010239 PMCID: PMC8750049 DOI: 10.3390/foods11010113] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/06/2021] [Accepted: 12/28/2021] [Indexed: 12/17/2022] Open
Abstract
Geographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of true labelling in some countries. Nevertheless, official methods for such specific authentication of EVOOs are still missing. Among the analytical techniques useful for certification of geographical origin, nuclear magnetic resonance (NMR) and mass spectroscopy (MS), combined with chemometrics, have been widely used. This review considers published works describing the use of these analytical methods, supported by statistical protocols such as multivariate analysis (MVA), for EVOO origin assessment. The research has shown that some specific countries, generally corresponding to the main worldwide producers, are more interested than others in origin assessment and certification. Some specific producers such as Italian EVOO producers may have been focused on this area because of consumers’ interest and/or intrinsic economical value, as testified also by the national concern on the topic. Both NMR- and MS-based approaches represent a mature field where a general validation method for EVOOs geographic origin assessment could be established as a reference recognised procedure.
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12
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Zaikin VG, Borisov RS. Mass Spectrometry as a Crucial Analytical Basis for Omics Sciences. JOURNAL OF ANALYTICAL CHEMISTRY 2021. [PMCID: PMC8693159 DOI: 10.1134/s1061934821140094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
This review is devoted to the consideration of mass spectrometric platforms as applied to omics sciences. The most significant attention is paid to omics related to life sciences (genomics, proteomics, meta-bolomics, lipidomics, glycomics, plantomics, etc.). Mass spectrometric approaches to solving the problems of petroleomics, polymeromics, foodomics, humeomics, and exosomics, related to inorganic sciences, are also discussed. The review comparatively presents the advantages of various principles of separation and mass spectral techniques, complementary derivatization, used to obtain large arrays of various structural and quantitative information in the mentioned omics sciences.
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Affiliation(s)
- V. G. Zaikin
- Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991 Moscow, Russia
| | - R. S. Borisov
- Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991 Moscow, Russia
- RUDN University, 117198 Moscow, Russia
- Core Facility Center “Arktika,” Northern (Arctic) Federal University, 163002 Arkhangelsk, Russia
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13
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The use of analytical techniques coupled with chemometrics for tracing the geographical origin of oils: A systematic review (2013-2020). Food Chem 2021; 366:130633. [PMID: 34332421 DOI: 10.1016/j.foodchem.2021.130633] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/14/2021] [Accepted: 07/16/2021] [Indexed: 11/20/2022]
Abstract
The global market for imported, high-quality priced foods has grown dramatically in the last decade, as consumers become more conscious of food originating from around the world. Many countries require the origin label of food to protect consumers need about true characteristics and origin. Regulatory authorities are looking for an extended and updated list of the analytical techniques for verification of authentic oils and to support law implementation. This review aims to introduce the efforts made using various analytical tools in combination with the multivariate analysis for the verification of the geographical origin of oils. The popular analytical tools have been discussed, and scientometric assessment that underlines research trends in geographical authentication and preferred journals used for dissemination has been indicated. Overall, we believe this article will be a good guideline for food industries and food quality control authority to assist in the selection of appropriate methods to authenticate oils.
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14
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Li Z, Sun Y, Dong F, Yu Q, Fan L, Zhao J, Wang M. Discrimination of heating and frying vegetable oils based on UPLC/Q-TOF MSMS and chemometrics. Food Res Int 2021; 140:109874. [PMID: 33648192 DOI: 10.1016/j.foodres.2020.109874] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 10/23/2022]
Abstract
Fried foods have potential adverse effects on health. However, the compounds produced during the process of frying in different vegetable oils are unknown. In this work, ultra performance liquid chromatography (UPLC), quadrupole time-of-flight mass spectrometry (Q-TOF MSMS) and chemical pattern recognition analysis was first conducted to analyze the changes in compounds in 8 different vegetable oils before and after thin-layer heating (without food) and to reveal the potential markers of oil used for deep-frying food. Then, these markers were validated in used frying oil. Our results of principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA) indicated that both thin-layer heating and deep-frying significantly change the compounds of vegetable oils. Thirty-six of the markers associated with thin-layer heating from the 8 different oils were identified in used frying oils and can be used as common markers of oil used for deep-frying. Additionally, 22 markers detected in individual vegetable oils provided unique markers of used frying oils. These markers can be used to distinguish used frying oil and have the potential to reveal the associated physiological harm.
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Affiliation(s)
- Zixiang Li
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Yongzhi Sun
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Feng Dong
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Qingli Yu
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Lina Fan
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Jiali Zhao
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Maoqing Wang
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China.
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Development of Chemometric Models Based on a LC-qToF-MS Approach to Verify the Geographic Origin of Virgin Olive Oil. Foods 2021; 10:foods10020479. [PMID: 33672359 PMCID: PMC7926913 DOI: 10.3390/foods10020479] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/16/2021] [Accepted: 02/18/2021] [Indexed: 01/13/2023] Open
Abstract
In the presented study a non-targeted approach using high-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry (HPLC-ESI-qToF-MS) combined with chemometric techniques was used to build a statistical model to verify the geographic origin of virgin olive oils. The sample preparation by means of liquid/liquid extraction of polar compounds was optimized regarding the number of multiple extractions, application of ultrasonic treatment and temperature during concentration of the analytes. The presented workflow for data processing aimed to identify the most predictive features and was applied to a set of 95 olive oils from Spain, Italy, Portugal and Greece. Different strategies for data reduction and multivariate analysis were compared. Stepwise variable selection showed for both applied multivariate models—linear discriminant analysis (LDA) and logit regression (LR)—to be the most suitable variable selection strategy. The 10-fold cross validation of the LDA showed a classification rate of 83.1% for the test set. For the LR models the prediction accuracy of the test set was even higher with values of 90.4% (Portugal), 86.2% (Italy), 93.8% (Greece) and 88.3% (Spain). Moreover, the reduction of features allows an easier following up strategy for identification of the unknowns and defining marker substances.
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16
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Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis. Foods 2021; 10:foods10020336. [PMID: 33557322 PMCID: PMC7914497 DOI: 10.3390/foods10020336] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 01/29/2021] [Accepted: 01/29/2021] [Indexed: 01/11/2023] Open
Abstract
Α stable isotope ratio mass spectrometer was used for stable isotope ratio (i.e., δ13C, δ18O, and δ2H) measurements, achieving geographical discrimination using orthogonal projections to latent structures discriminant analysis. A total of 100 Greek monovarietal olive oil samples from three different olive cultivars (cv. Koroneiki, cv. Lianolia Kerkyras, and cv. Maurolia), derived from Central Greece and Peloponnese, were collected during the 2019-2020 harvest year aiming to investigate the effect of botanical and geographical origin on their discrimination through isotopic data. The selection of these samples was made from traditionally olive-growing areas in which no significant research has been done so far. Samples were discriminated mainly by olive cultivar and, partially, by geographical origin, which is congruent with other authors. Based on this model, correct recognition of 93.75% in the training samples and correct prediction of 100% in the test set were achieved. The overall correct classification of the model was 91%. The predictability based on the externally validated method of discrimination was good (Q2 (cum) = 0.681) and illustrated that δ18O and δ2H were the most important isotope markers for the discrimination of olive oil samples. The authenticity of olive oil based on the examined olive varieties can be determined using this technique.
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17
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Rapid Detection of Adulteration in Extra Virgin Olive Oil by Low-Field Nuclear Magnetic Resonance Combined with Pattern Recognition. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-01973-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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18
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Chromatography-MS based metabolomics applied to the study of virgin olive oil bioactive compounds: Characterization studies, agro-technological investigations and assessment of healthy properties. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116153] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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19
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Balkir P, Kemahlioglu K, Yucel U. Foodomics: A new approach in food quality and safety. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2020.11.028] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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20
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Jiménez-Morillo NT, Palma V, Garcia R, Dias CB, Cabrita MJ. Combination of Stable Isotope Analysis and Chemometrics to Discriminate Geoclimatically and Temporally the Virgin Olive Oils from Three Mediterranean Countries. Foods 2020; 9:E1855. [PMID: 33322669 PMCID: PMC7763173 DOI: 10.3390/foods9121855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/04/2020] [Accepted: 12/09/2020] [Indexed: 01/04/2023] Open
Abstract
The knowledge of the isotopic composition of virgin olive oil (VOO) allows the evaluation of authenticity and geographical origin, being an important tool against fraud. This study aimed to assess if VOOs produced in three Mediterranean regions could be discriminated on the basis of multivariate statistical analysis of geoclimatic and isotopic data. A total of 138 geo-referenced VOO samples from Portugal, France and Turkey from two different cultivation years were collected. The isotopic composition (δ13C, δ2H and δ18O) of VOOs was obtained using an elemental analyzer coupled to an isotope ratio mass spectrometer (EA-IRMS). One-way analysis of variance for δ13C, δ2H and δ18O showed some significant differences either between crop years or geoclimatic conditions. Based on multiple regression analyses using meteorological and geographical parameters, a meteoric water line for olive oil from Portugal, France and Turkey, in two harvest years, were created to assess the impact of climate change on their δ2H and δ18O values. Principal component analysis and Linear Discriminant Analysis, used to sort samples according to geoclimatic origin, performed best for French and Portuguese olive oils. In light of the results, multivariate isotopic analysis of VOO samples may discriminate not only between geoclimatic regions but also among cultivation years.
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Affiliation(s)
- Nicasio T. Jiménez-Morillo
- MED—Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal; (N.T.J.-M.); (R.G.)
| | - Vera Palma
- HERCULES, Universidade de Évora, Palácio do Vimioso, 7000-089 Évora, Portugal; (V.P.); (C.B.D.)
| | - Raquel Garcia
- MED—Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal; (N.T.J.-M.); (R.G.)
- Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Núcleo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Cristina Barrocas Dias
- HERCULES, Universidade de Évora, Palácio do Vimioso, 7000-089 Évora, Portugal; (V.P.); (C.B.D.)
- Departamento de Química, Escola de Ciências e Tecnologia, Universidade de Évora, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal
| | - Maria João Cabrita
- MED—Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal; (N.T.J.-M.); (R.G.)
- Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Núcleo da Mitra, Ap. 94, 7006-554 Évora, Portugal
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21
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Lacalle-Bergeron L, Portolés T, Sales C, Carmen Corell M, Domínguez F, Beltrán J, Vicente Sancho J, Hernández F. Gas chromatography-mass spectrometry based untargeted volatolomics for smoked seafood classification. Food Res Int 2020; 137:109698. [DOI: 10.1016/j.foodres.2020.109698] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/06/2020] [Accepted: 09/06/2020] [Indexed: 12/20/2022]
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22
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Cavanna D, Hurkova K, Džuman Z, Serani A, Serani M, Dall’Asta C, Tomaniova M, Hajslova J, Suman M. A Non-Targeted High-Resolution Mass Spectrometry Study for Extra Virgin Olive Oil Adulteration with Soft Refined Oils: Preliminary Findings from Two Different Laboratories. ACS OMEGA 2020; 5:24169-24178. [PMID: 33015432 PMCID: PMC7528164 DOI: 10.1021/acsomega.0c00346] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/21/2020] [Indexed: 05/16/2023]
Abstract
This work presents a non-targeted high-resolution mass spectrometry inter-laboratory study for the detection of new chemical markers responsible of soft refined oils addition to extra virgin olive oils. Refined oils (soft deodorized and soft deacidified) were prepared on a laboratory scale starting from low-quality olive oils and analyzed together with a set of pure extra virgin olive oil (EVOO) samples and with mixtures of adulterated and pure EVOO at different percentages. The same analytical workflow was applied in two different laboratories equipped with two types of instrumentation (Q-Orbitrap and Q-TOF); a group of discriminant molecules was selected, and a tentative identification of compounds was also proposed. In summary, 12 molecules were identified as markers of this specific adulteration, and seven of them were selected as discriminative in both the laboratories, with a similar trend throughout the samples (i.e., propylene glycol 1 stearate). The results obtained in the two laboratories are comparable, concretely demonstrating the inter-laboratory repeatability of non-targeted studies. As a confirmation, the same markers were detected also in "in-house" mixtures and in suspect commercial deodorized mixtures, reinforcing the robustness of the results obtained and proving that, thanks to these molecules, mixtures containing at least 40% of adulterated oils can be detected.
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Affiliation(s)
- Daniele Cavanna
- Advanced
Laboratory Research, Barilla G. e R. Fratelli S.p.A., Via Mantova, 166-43122 Parma, Italy
- Department
of Food and Drug, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Kamila Hurkova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Zbyněk Džuman
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Andrea Serani
- COTECA
Srl Consulenze Tecniche agroindustriali, 56121 Pisa, Italy
| | - Matteo Serani
- COTECA
Srl Consulenze Tecniche agroindustriali, 56121 Pisa, Italy
| | - Chiara Dall’Asta
- Department
of Food and Drug, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Monika Tomaniova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Jana Hajslova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Michele Suman
- Advanced
Laboratory Research, Barilla G. e R. Fratelli S.p.A., Via Mantova, 166-43122 Parma, Italy
- . Tel: +39-0521-
262332
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23
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Nikou T, Witt M, Stathopoulos P, Barsch A, Halabalaki M. Olive Oil Quality and Authenticity Assessment Aspects Employing FIA-MRMS and LC-Orbitrap MS Metabolomic Approaches. Front Public Health 2020; 8:558226. [PMID: 33102421 PMCID: PMC7545581 DOI: 10.3389/fpubh.2020.558226] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 08/14/2020] [Indexed: 11/30/2022] Open
Abstract
Edible vegetable oils comprise integral components of humans' daily diet during the lifetime. Therefore, they constitute a central part of dietary-exposome, which among other factors regulates human health. In particular, the regular consumption of olive oil (OO) has been largely accepted as a healthy dietary pattern. Responsible for its recognition as a superior edible oil is its exceptional aroma and flavor. Its unique composition is characterized by high levels of monounsaturated fatty acids and the presence of minor constituents with important biological properties, such as the so-called OO polyphenols. Being a high added value product, OO suffers from extensive fraud and adulteration phenomena. However, its great chemical complexity, variability, and the plethora of parameters affecting OO composition hamper significantly the selection of the absolute criteria defining quality and authenticity, and a reliable and robust methodology is still unavailable. In the current study, Flow Injection Analysis-Magnetic Resonance Mass Spectrometry (FIA-MRMS) was investigated under a metabolic profiling concept for the analysis of Greek Extra Virgin Olive Oils (EVOO). More than 200 monovarietal (Koroneiki) EVOO samples were collected from the main Greek OO producing regions and investigated. Both intact oil and the corresponding polyphenols were analyzed in fast analysis time of 2 and 8 min, respectively. In parallel, an LC-Orbitrap MS platform was used to verify the efficiency of the method as well as a tool to increase the identification confidence of the proposed markers. Based on the results, with FIA-MRMS, comparable and improved projection and prediction models were generated in comparison to those of the more established LC-MS methodology. With FIA-MRMS more statistically significant compounds and chemical classes were identified as quality and authenticity markers, associated with specific parameters, i.e. geographical region, cultivation practice, and production procedure. Furthermore, it was possible to monitor both lipophilic and hydrophilic compounds with a single analysis. To our knowledge, this approach is among the few studies in which two FT-MS platforms combining LC and FIA methods were integrated to provide solutions to quality control aspects of OO. Moreover, both lipophilic and hydrophilic components are analyzed together, providing a holistic quality control workflow for OO.
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Affiliation(s)
- Theodora Nikou
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Panagiotis Stathopoulos
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Maria Halabalaki
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
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24
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Application of High Resolution Mass Spectrometric methods coupled with chemometric techniques in olive oil authenticity studies - A review. Anal Chim Acta 2020; 1134:150-173. [PMID: 33059861 DOI: 10.1016/j.aca.2020.07.029] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 12/21/2022]
Abstract
Extra Virgin Olive Oil (EVOO), the emblematic food of the Mediterranean diet, is recognized for its nutritional value and beneficial health effects. The main authenticity issues associated with EVOO's quality involve the organoleptic properties (EVOO or defective), mislabeling of production type (organic or conventional), variety and geographical origin, and adulteration. Currently, there is an emerging need to characterize EVOOs and evaluate their genuineness. This can be achieved through the development of analytical methodologies applying advanced "omics" technologies and the investigation of EVOOs chemical fingerprints. The objective of this review is to demonstrate the analytical performance of High Resolution Mass Spectrometry (HRMS) in the field of food authenticity assessment, allowing the determination of a wide range of food constituents with exceptional identification capabilities. HRMS-based workflows used for the investigation of critical olive oil authenticity issues are presented and discussed, combined with advanced data processing, comprehensive data mining and chemometric tools. The use of unsupervised classification tools, such as Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA), as well as supervised classification techniques, including Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Partial Least Square Discriminant Analysis (PLS-DA), Orthogonal Projection to Latent Structure-Discriminant Analysis (OPLS-DA), Counter Propagation Artificial Neural Networks (CP-ANNs), Self-Organizing Maps (SOMs) and Random Forest (RF) is summarized. The combination of HRMS methodologies with chemometrics improves the quality and reliability of the conclusions from experimental data (profile or fingerprints), provides valuable information suggesting potential authenticity markers and is widely applied in food authenticity studies.
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25
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A non-targeted high-resolution mass spectrometry approach for the assessment of the geographical origin of durum wheat. Food Chem 2020; 317:126366. [DOI: 10.1016/j.foodchem.2020.126366] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/14/2022]
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26
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Lioupi A, Nenadis N, Theodoridis G. Virgin olive oil metabolomics: A review. J Chromatogr B Analyt Technol Biomed Life Sci 2020; 1150:122161. [PMID: 32505112 DOI: 10.1016/j.jchromb.2020.122161] [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: 03/12/2020] [Revised: 05/07/2020] [Accepted: 05/13/2020] [Indexed: 10/24/2022]
Abstract
Metabolomics involvement in the study of foods is steadily growing. Such a rise is a consequence of the increasing demand in the food sector to address challenges regarding the issues of food safety, quality, and authenticity in a more comprehensive way. Virgin olive oil (VOO) is a key product of the Mediterranean diet, with a globalized consumer interest as it may be associated with various nutritional and health benefits. Despite the strict legislation to protect this high added-value agricultural commodity and offer guarantees to consumers and honest producers, there are still analytical issues needing to be further addressed. Thus, this review aims to present the efforts made using targeted and untargeted metabolomics approaches, namely nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry-based techniques (mainly LC/GC-MS) combined with multivariate statistical analysis. Case-studies focusing on geographical/varietal classification and detection of adulteration are discussed with regards to the identification of possible markers. The advantages and limitations of each of the aforementioned techniques applied to VOO analysis are also highlighted.
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Affiliation(s)
- Artemis Lioupi
- Laboratory of Analytical Chemistry, School of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; Biomic AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR 57001, Thessaloniki, Greece; FoodOmicsGR Research Infrastructure, AUTh Node, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR 57001, Thessaloniki, Greece
| | - Nikolaos Nenadis
- FoodOmicsGR Research Infrastructure, AUTh Node, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR 57001, Thessaloniki, Greece; Laboratory of Food Chemistry and Technology, School of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Georgios Theodoridis
- Laboratory of Analytical Chemistry, School of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; Biomic AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR 57001, Thessaloniki, Greece; FoodOmicsGR Research Infrastructure, AUTh Node, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR 57001, Thessaloniki, Greece.
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27
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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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28
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Dou X, Zhang L, Wang X, Yang R, Wang X, Ma F, Yu L, Mao J, Li H, Wang X, Li P. Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks. Metabolites 2020; 10:E85. [PMID: 32121379 PMCID: PMC7143555 DOI: 10.3390/metabo10030085] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 02/23/2020] [Accepted: 02/28/2020] [Indexed: 12/03/2022] Open
Abstract
Food adulteration is a challenge faced by consumers and researchers. Due to DNA fragmentation during oil processing, it is necessary to discover metabolic markers alternative to DNA for adulteration detection of edible oils. However, the contents of metabolic markers vary in response to various factors, such as plant species, varieties, geographical origin, climate, and cultivation measures. Thus, it is difficult to identify a universal marker for all adulterants that may be present in some authentic samples. Currently, the specificity and selectivity of metabolic biomarkers are difficult to validate. Therefore, this study developed a screening strategy based on plant metabolic networks by developing a targeted analytical method for 56 metabolites in a metabolic network, using liquid/liquid extraction-liquid chromatography-tandem mass spectrometry (LC-MS/MS). We identified a chain of 11 metabolites that were related to isoflavonoid biosynthesis, which were detected in soybean oils but not rapeseed oils. Through multiple-marker mutual validation, these metabolites can be used as species-specific universal markers to differentiate soybean oil from rapeseed oil. Moreover, this method provides a model for screening characteristic markers of other edible vegetable oils and foods.
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Affiliation(s)
- Xinjing Dou
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Liangxiao Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xiao Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Ruinan Yang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xuefang Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Fei Ma
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Li Yu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Jin Mao
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Hui Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xiupin Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Peiwu Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; (X.D.); (X.W.); (R.Y.); (X.W.); (F.M.); (L.Y.); (J.M.); (H.L.); (X.W.); (P.L.)
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
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Xu L, Lao F, Xu Z, Wang X, Chen F, Liao X, Chen A, Yang S. Use of liquid chromatography quadrupole time-of-flight mass spectrometry and metabolomic approach to discriminate coffee brewed by different methods. Food Chem 2019; 286:106-112. [DOI: 10.1016/j.foodchem.2019.01.154] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 01/12/2019] [Accepted: 01/22/2019] [Indexed: 12/30/2022]
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30
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Discrimination of extra-virgin-olive oils from different cultivars and geographical origins by untargeted metabolomics. Food Res Int 2019; 121:746-753. [DOI: 10.1016/j.foodres.2018.12.052] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/04/2018] [Accepted: 12/23/2018] [Indexed: 11/22/2022]
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31
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Contreras MDM, Arroyo-Manzanares N, Arce C, Arce L. HS-GC-IMS and chemometric data treatment for food authenticity assessment: Olive oil mapping and classification through two different devices as an example. Food Control 2019. [DOI: 10.1016/j.foodcont.2018.11.001] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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32
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Barnaba C, Larcher R, Nardin T, Dellacassa E, Nicolini G. Glycosylated simple phenolic profiling of food tannins using high resolution mass spectrometry (Q-Orbitrap). Food Chem 2018; 267:196-203. [DOI: 10.1016/j.foodchem.2017.11.048] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 09/05/2017] [Accepted: 11/13/2017] [Indexed: 01/14/2023]
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33
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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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34
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Sales C, Portolés T, Johnsen LG, Danielsen M, Beltran J. Olive oil quality classification and measurement of its organoleptic attributes by untargeted GC-MS and multivariate statistical-based approach. Food Chem 2018; 271:488-496. [PMID: 30236707 DOI: 10.1016/j.foodchem.2018.07.200] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 07/19/2018] [Accepted: 07/25/2018] [Indexed: 02/03/2023]
Abstract
The capabilities of dynamic headspace entrainment followed by thermal desorption in combination with gas chromatography (GC) coupled to single quadrupole mass spectrometry (MS) have been tested for the determination of volatile components of olive oil. This technique has shown a great potential for olive oil quality classification by using an untargeted approach. The data processing strategy consisted of three different steps: component detection from GC-MS data using novel data treatment software PARADISe, a multivariate analysis using EZ-Info, and the creation of the statistical models. The great number of compounds determined enabled not only the development of a quality classification method as a complementary tool to the official established method "PANEL TEST" but also a correlation between these compounds and different types of defect. Classification method was finally validated using blind samples. An accuracy of 85% in oil classification was obtained, with 100% of extra virgin samples correctly classified.
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Affiliation(s)
- C Sales
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat, E-12071 Castellón, Spain
| | - T Portolés
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat, E-12071 Castellón, Spain.
| | | | | | - J Beltran
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Avda. Sos Baynat, E-12071 Castellón, Spain
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35
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Hoyos Ossa DE, Gil-Solsona R, Peñuela GA, Sancho JV, Hernández FJ. Assessment of protected designation of origin for Colombian coffees based on HRMS-based metabolomics. Food Chem 2018; 250:89-97. [DOI: 10.1016/j.foodchem.2018.01.038] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 12/18/2017] [Accepted: 01/03/2018] [Indexed: 10/18/2022]
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36
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Carranco N, Farrés-Cebrián M, Saurina J, Núñez O. Authentication and Quantitation of Fraud in Extra Virgin Olive Oils Based on HPLC-UV Fingerprinting and Multivariate Calibration. Foods 2018; 7:foods7040044. [PMID: 29561820 PMCID: PMC5920409 DOI: 10.3390/foods7040044] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 03/12/2018] [Accepted: 03/20/2018] [Indexed: 12/24/2022] Open
Abstract
High performance liquid chromatography method with ultra-violet detection (HPLC-UV) fingerprinting was applied for the analysis and characterization of olive oils, and was performed using a Zorbax Eclipse XDB-C8 reversed-phase column under gradient elution, employing 0.1% formic acid aqueous solution and methanol as mobile phase. More than 130 edible oils, including monovarietal extra-virgin olive oils (EVOOs) and other vegetable oils, were analyzed. Principal component analysis results showed a noticeable discrimination between olive oils and other vegetable oils using raw HPLC-UV chromatographic profiles as data descriptors. However, selected HPLC-UV chromatographic time-window segments were necessary to achieve discrimination among monovarietal EVOOs. Partial least square (PLS) regression was employed to tackle olive oil authentication of Arbequina EVOO adulterated with Picual EVOO, a refined olive oil, and sunflower oil. Highly satisfactory results were obtained after PLS analysis, with overall errors in the quantitation of adulteration in the Arbequina EVOO (minimum 2.5% adulterant) below 2.9%.
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Affiliation(s)
- Núria Carranco
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain.
| | - Mireia Farrés-Cebrián
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain.
| | - Javier Saurina
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain.
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain.
| | - Oscar Núñez
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain.
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain.
- Serra Húnter Fellow, Generalitat de Catalunya, Rambla de Catalunya 19-21, E08007 Barcelona, Spain.
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37
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Gil Solsona R, Boix C, Ibáñez M, Sancho JV. The classification of almonds (Prunus dulcis) by country and variety using UHPLC-HRMS-based untargeted metabolomics. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2018; 35:395-403. [DOI: 10.1080/19440049.2017.1416679] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- R. Gil Solsona
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Castellón, Spain
| | - C. Boix
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Castellón, Spain
| | - M. Ibáñez
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Castellón, Spain
| | - J. V. Sancho
- Research Institute for Pesticides and Water (IUPA), University Jaume I, Castellón, Spain
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38
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Blasi F, Rocchetti G, Montesano D, Lucini L, Chiodelli G, Ghisoni S, Baccolo G, Simonetti MS, Cossignani L. Changes in extra-virgin olive oil added with Lycium barbarum L. carotenoids during frying: Chemical analyses and metabolomic approach. Food Res Int 2017; 105:507-516. [PMID: 29433242 DOI: 10.1016/j.foodres.2017.11.061] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Revised: 11/02/2017] [Accepted: 11/22/2017] [Indexed: 01/07/2023]
Abstract
In this work, an Italian extra-virgin olive oil (EVOO) sample and the same sample added with a carotenoid-rich nutraceutical extract from Lycium barbarum L. (EVOOCar) were subjected to a frying process to comparatively assess chemical and physical changes and heat stability. Oxidation progress was monitored by measuring oil quality changes such as peroxide value, free acidity, K232, K268, and fatty acid composition as well as minor compound content, phenols, α-tocopherol, and carotenoids. An UHPLC/QTOF-MS metabolomics approach discriminated the two oil samples based on their chemical changes during frying, identifying also the phenolic classes most exposed to statistically significant variations. Partial least square discriminant analysis and volcano analysis were applied together to identify the most significant markers allowing group separation. The decrease in total phenolic content was lower in EVOOCar than in EVOO during frying. Monounsaturated and polyunsaturated fatty acids showed a significant percentage loss, 3.7% and 17.2%, respectively, in EVOO after 180min frying at 180°C, while they remained constant or slightly changed in EVOOCar. Zeaxanthin added to the oil rapidly decreased during the frying process. These findings showed that the addition of a carotenoid extract from L. barbarum can help to improve the oxidative stability of extra-virgin olive oil.
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Affiliation(s)
- F Blasi
- Department of Pharmaceutical Sciences, Section of Food Science and Nutrition, University of Perugia, via San Costanzo, 06126 Perugia, Italy
| | - G Rocchetti
- Institute of Food Science and Nutrition, Università Cattolica del Sacro Cuore, via Emilia Parmense 84, 29122 Piacenza, Italy
| | - D Montesano
- Department of Pharmaceutical Sciences, Section of Food Science and Nutrition, University of Perugia, via San Costanzo, 06126 Perugia, Italy.
| | - L Lucini
- Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, via Emilia Parmense 84, 29122 Piacenza, Italy
| | - G Chiodelli
- Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, via Emilia Parmense 84, 29122 Piacenza, Italy
| | - S Ghisoni
- Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, via Emilia Parmense 84, 29122 Piacenza, Italy
| | - G Baccolo
- Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, via Emilia Parmense 84, 29122 Piacenza, Italy
| | - M S Simonetti
- Department of Pharmaceutical Sciences, Section of Food Science and Nutrition, University of Perugia, via San Costanzo, 06126 Perugia, Italy
| | - L Cossignani
- Department of Pharmaceutical Sciences, Section of Food Science and Nutrition, University of Perugia, via San Costanzo, 06126 Perugia, Italy
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39
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Castro-Puyana M, Pérez-Míguez R, Montero L, Herrero M. Reprint of: Application of mass spectrometry-based metabolomics approaches for food safety, quality and traceability. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.08.007] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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40
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Application of mass spectrometry-based metabolomics approaches for food safety, quality and traceability. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.05.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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