1
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Ito K, Yamamoto R, Sekiyama Y. Tracking Metabolite Variations during the Degradation of Vegetables in Rice Bran Bed with Intact-State Nuclear Magnetic Resonance Spectroscopy. Metabolites 2024; 14:391. [PMID: 39057714 PMCID: PMC11279010 DOI: 10.3390/metabo14070391] [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: 06/27/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Fermentation-a process of compound degradation by microorganisms-is a traditional food processing method utilized worldwide for the long-term preservation of fresh foods. In recent years, fermented foods have gained attention as health foods. Fermentation increases the nutritional value of ingredients, producing complex flavors and aromas. To identify unknown components in fermented foods, it is necessary to analyze compounds and conditions nondestructively and comprehensively. We performed intact-state nuclear magnetic resonance (NMR) spectroscopy using intermolecular single quantum coherence (iSQC) to detect the degradation of vegetables directly and nondestructively. We used two types of vegetables and a rice bran bed (nukazuke), which is used for traditional vegetable fermentation in Japan. Major metabolites such as saccharides, organic acids, and amino acids were identified in iSQC-sliced spectra. Comparing NMR signal intensities during degradation revealed the transition of metabolites characteristic of lactic acid fermentation. A pathway-based network analysis showed pathways involved in amino acid metabolism and lactic acid fermentation. Our analytical approach with intact-state NMR spectroscopy using iSQC demonstrated that it may be effective in other experimental systems, allowing for the evaluation of phenomena that have been conventionally overlooked in their true state.
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Affiliation(s)
- Kengo Ito
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba 305-0856, Japan
| | - Ryusei Yamamoto
- Research Center for Advanced Analysis, National Agriculture and Food Research Organization, Tsukuba 305-8642, Japan
| | - Yasuyo Sekiyama
- Research Center for Advanced Analysis, National Agriculture and Food Research Organization, Tsukuba 305-8642, Japan
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2
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Shi J, Liu Y, Xu YJ. MS based foodomics: An edge tool integrated metabolomics and proteomics for food science. Food Chem 2024; 446:138852. [PMID: 38428078 DOI: 10.1016/j.foodchem.2024.138852] [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: 11/29/2023] [Revised: 02/05/2024] [Accepted: 02/24/2024] [Indexed: 03/03/2024]
Abstract
Foodomics has become a popular methodology in food science studies. Mass spectrometry (MS) based metabolomics and proteomics analysis played indispensable roles in foodomics research. So far, several methodologies have been developed to detect the metabolites and proteins in diets and consumers, including sample preparation, MS data acquisition, annotation and interpretation. Moreover, multiomics analysis integrated metabolomics and proteomics have received considerable attentions in the field of food safety and nutrition, because of more comprehensive and deeply. In this context, we intended to review the emerging strategies and their applications in MS-based foodomics, as well as future challenges and trends. The principle and application of multiomics were also discussed, such as the optimization of data acquisition, development of analysis algorithm and exploration of systems biology.
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Affiliation(s)
- Jiachen Shi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
| | - Yuanfa Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
| | - Yong-Jiang Xu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
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3
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Lemmink IB, Straub LV, Bovee TFH, Mulder PPJ, Zuilhof H, Salentijn GI, Righetti L. Recent advances and challenges in the analysis of natural toxins. ADVANCES IN FOOD AND NUTRITION RESEARCH 2024; 110:67-144. [PMID: 38906592 DOI: 10.1016/bs.afnr.2024.05.001] [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: 06/23/2024]
Abstract
Natural toxins (NTs) are poisonous secondary metabolites produced by living organisms developed to ward off predators. Especially low molecular weight NTs (MW<∼1 kDa), such as mycotoxins, phycotoxins, and plant toxins, are considered an important and growing food safety concern. Therefore, accurate risk assessment of food and feed for the presence of NTs is crucial. Currently, the analysis of NTs is predominantly performed with targeted high pressure liquid chromatography tandem mass spectrometry (HPLC-MS/MS) methods. Although these methods are highly sensitive and accurate, they are relatively expensive and time-consuming, while unknown or unexpected NTs will be missed. To overcome this, novel on-site screening methods and non-targeted HPLC high resolution mass spectrometry (HRMS) methods have been developed. On-site screening methods can give non-specialists the possibility for broad "scanning" of potential geographical regions of interest, while also providing sensitive and specific analysis at the point-of-need. Non-targeted chromatography-HRMS methods can detect unexpected as well as unknown NTs and their metabolites in a lab-based approach. The aim of this chapter is to provide an insight in the recent advances, challenges, and perspectives in the field of NTs analysis both from the on-site and the laboratory perspective.
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Affiliation(s)
- Ids B Lemmink
- Laboratory of Organic Chemistry, Wageningen University & Research, Wageningen, The Netherlands; Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Leonie V Straub
- Laboratory of Organic Chemistry, Wageningen University & Research, Wageningen, The Netherlands; Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Toine F H Bovee
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Patrick P J Mulder
- Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Han Zuilhof
- Laboratory of Organic Chemistry, Wageningen University & Research, Wageningen, The Netherlands; School of Pharmaceutical Sciences and Technology, Tianjin University, Tianjin, P.R. China
| | - Gert Ij Salentijn
- Laboratory of Organic Chemistry, Wageningen University & Research, Wageningen, The Netherlands; Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands.
| | - Laura Righetti
- Laboratory of Organic Chemistry, Wageningen University & Research, Wageningen, The Netherlands; Wageningen Food Safety Research, Wageningen University & Research, Wageningen, The Netherlands.
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4
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Aspromonte J, Mascrez S, Eggermont D, Purcaro G. Solid-phase microextraction coupled to comprehensive multidimensional gas chromatography for food analysis. Anal Bioanal Chem 2024; 416:2221-2246. [PMID: 37999723 DOI: 10.1007/s00216-023-05048-0] [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: 09/14/2023] [Revised: 10/22/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Abstract
Solid-phase microextraction and comprehensive multidimensional gas chromatography represent two milestone innovations that occurred in the field of separation science in the 1990s. They have a common root in their introduction and have found a perfect coupling in their evolution and applications. This review will focus on food analysis, where the paradigm has changed significantly over time, moving from a targeted analysis, focusing on a limited number of analytes at the time, to a more holistic approach for assessing quality in a larger sense. Indeed, not only some major markers or contaminants are considered, but a large variety of compounds and their possible interaction, giving rise to the field of foodomics. In order to obtain such detailed information and to answer more sophisticated questions related to food quality and authenticity, the use of SPME-GC × GC-MS has become essential for the comprehensive analysis of volatile and semi-volatile analytes. This article provides a critical review of the various applications of SPME-GC × GC in food analysis, emphasizing the crucial role this coupling plays in this field. Additionally, this review dwells on the importance of appropriate data treatment to fully harness the results obtained to draw accurate and meaningful conclusions.
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Affiliation(s)
- Juan Aspromonte
- Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas (Universidad Nacional de La Plata, CIC-PBA, CONICET), Calle 47 Esq. 115, 1900, La Plata, Argentina
| | - Steven Mascrez
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Damien Eggermont
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Giorgia Purcaro
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium.
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5
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Drabińska N, Marcinkowska MA, Wieczorek MN, Jeleń HH. Application of Sorbent-Based Extraction Techniques in Food Analysis. Molecules 2023; 28:7985. [PMID: 38138475 PMCID: PMC10745519 DOI: 10.3390/molecules28247985] [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: 10/23/2023] [Revised: 12/03/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
This review presents an outline of the application of the most popular sorbent-based methods in food analysis. Solid-phase extraction (SPE) is discussed based on the analyses of lipids, mycotoxins, pesticide residues, processing contaminants and flavor compounds, whereas solid-phase microextraction (SPME) is discussed having volatile and flavor compounds but also processing contaminants in mind. Apart from these two most popular methods, other techniques, such as stir bar sorptive extraction (SBSE), molecularly imprinted polymers (MIPs), high-capacity sorbent extraction (HCSE), and needle-trap devices (NTD), are outlined. Additionally, novel forms of sorbent-based extraction methods such as thin-film solid-phase microextraction (TF-SPME) are presented. The utility and challenges related to these techniques are discussed in this review. Finally, the directions and need for future studies are addressed.
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Affiliation(s)
| | | | | | - Henryk H. Jeleń
- Faculty of Food Science and Nutrition, Poznań University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland; (N.D.); (M.A.M.); (M.N.W.)
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6
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Smaoui S, Tarapoulouzi M, Agriopoulou S, D'Amore T, Varzakas T. Current State of Milk, Dairy Products, Meat and Meat Products, Eggs, Fish and Fishery Products Authentication and Chemometrics. Foods 2023; 12:4254. [PMID: 38231684 DOI: 10.3390/foods12234254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 01/19/2024] Open
Abstract
Food fraud is a matter of major concern as many foods and beverages do not follow their labelling. Because of economic interests, as well as consumers' health protection, the related topics, food adulteration, counterfeiting, substitution and inaccurate labelling, have become top issues and priorities in food safety and quality. In addition, globalized and complex food supply chains have increased rapidly and contribute to a growing problem affecting local, regional and global food systems. Animal origin food products such as milk, dairy products, meat and meat products, eggs and fish and fishery products are included in the most commonly adulterated food items. In order to prevent unfair competition and protect the rights of consumers, it is vital to detect any kind of adulteration to them. Geographical origin, production methods and farming systems, species identification, processing treatments and the detection of adulterants are among the important authenticity problems for these foods. The existence of accurate and automated analytical techniques in combination with available chemometric tools provides reliable information about adulteration and fraud. Therefore, the purpose of this review is to present the advances made through recent studies in terms of the analytical techniques and chemometric approaches that have been developed to address the authenticity issues in animal origin food products.
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Affiliation(s)
- Slim Smaoui
- Laboratory of Microbial, Enzymatic Biotechnology, and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax-Tunisia, Sfax 3029, Tunisia
| | - Maria Tarapoulouzi
- Department of Chemistry, Faculty of Pure and Applied Science, University of Cyprus, P.O. Box 20537, Nicosia CY-1678, Cyprus
| | - Sofia Agriopoulou
- Department of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece
| | - Teresa D'Amore
- IRCCS CROB, Centro di Riferimento Oncologico della Basilicata, 85028 Rionero in Vulture, Italy
| | - Theodoros Varzakas
- Department of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece
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7
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Shi C, Zi Y, Huang S, Chen J, Wang X, Zhong J. Development and application of lipidomics for food research. ADVANCES IN FOOD AND NUTRITION RESEARCH 2023; 104:1-42. [PMID: 37236729 DOI: 10.1016/bs.afnr.2022.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Lipidomics is an emerging and promising omics derived from metabolomics to comprehensively analyze all of lipid molecules in biological matrices. The purpose of this chapter is to introduce the development and application of lipidomics for food research. First, three aspects of sample preparation are introduced: food sampling, lipid extraction, and transportation and storage. Second, five types of instruments for data acquisition are summarized: direct infusion-mass spectrometry (MS), chromatographic separation-MS, ion mobility-MS, MS imaging, and nuclear magnetic resonance spectroscopy. Third, data acquisition and analysis software are described for the lipidomics software development. Fourth, the application of lipidomics for food research is discussed such as food origin and adulteration analysis, food processing research, food preservation research, and food nutrition and health research. All the contents suggest that lipidomics is a powerful tool for food research based on its ability of lipid component profile analysis.
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Affiliation(s)
- Cuiping Shi
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ye Zi
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
| | - Shudan Huang
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
| | - Jiahui Chen
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
| | - Xichang Wang
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
| | - Jian Zhong
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai, China.
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8
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He F, Wang H, Du P, Li T, Wang W, Tan T, Liu Y, Ma Y, Wang Y, El-Aty A. Personal Glucose Meters Coupled with Signal Amplification Technologies for Quantitative Detection of Non-Glucose Targets: Recent Progress and Challenges in Food Safety Hazards Analysis. J Pharm Anal 2023; 13:223-238. [PMID: 37102109 PMCID: PMC10123950 DOI: 10.1016/j.jpha.2023.02.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/19/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023] Open
Abstract
Ensuring food safety is paramount worldwide. Developing effective detection methods to ensure food safety can be challenging owing to trace hazards, long detection time, and resource-poor sites, in addition to the matrix effects of food. Personal glucose meter (PGM), a classic point-of-care testing device, possesses unique application advantages, demonstrating promise in food safety. Currently, many studies have used PGM-based biosensors and signal amplification technologies to achieve sensitive and specific detection of food hazards. Signal amplification technologies have the potential to greatly improve the analytical performance and integration of PGMs with biosensors, which is crucial for solving the challenges associated with the use of PGMs for food safety analysis. This review introduces the basic detection principle of a PGM-based sensing strategy, which consists of three key factors: target recognition, signal transduction, and signal output. Representative studies of existing PGM-based sensing strategies combined with various signal amplification technologies (nanomaterial-loaded multienzyme labeling, nucleic acid reaction, DNAzyme catalysis, responsive nanomaterial encapsulation, and others) in the field of food safety detection are reviewed. Future perspectives and potential opportunities and challenges associated with PGMs in the field of food safety are discussed. Despite the need for complex sample preparation and the lack of standardization in the field, using PGMs in combination with signal amplification technology shows promise as a rapid and cost-effective method for food safety hazard analysis.
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9
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NMR-Based Chromatography Readouts: Indispensable Tools to “Translate” Analytical Features into Molecular Structures. Cells 2022; 11:cells11213526. [DOI: 10.3390/cells11213526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/29/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
Gaining structural information is a must to allow the unequivocal structural characterization of analytes from natural sources. In liquid state, NMR spectroscopy is almost the only possible alternative to HPLC-MS and hyphenating the effluent of an analyte separation device to the probe head of an NMR spectrometer has therefore been pursued for more than three decades. The purpose of this review article was to demonstrate that, while it is possible to use mass spectrometry and similar methods to differentiate, group, and often assign the differentiating variables to entities that can be recognized as single molecules, the structural characterization of these putative biomarkers usually requires the use of NMR spectroscopy.
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10
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Hashemi-Nasab FS, Parastar H. Vis-NIR hyperspectral imaging coupled with independent component analysis for saffron authentication. Food Chem 2022; 393:133450. [PMID: 35751218 DOI: 10.1016/j.foodchem.2022.133450] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 05/17/2022] [Accepted: 06/08/2022] [Indexed: 11/26/2022]
Abstract
In the present contribution, visible-near infrared hyperspectral imaging (Vis-NIR-HSI) combined with a novel chemometric approach based on mean-filed independent component analysis (MF-ICA) followed by multivariate classification techniques is proposed for saffron authentication and adulteration detection. First, MF-ICA was used to exploit pure spatial and spectral profiles of the components. Then, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to find patterns of authentic samples based on their distribution maps. Then, detection of five common plant-derived adulterants of saffron including safflower, saffron style, calendula, rubia and turmeric were investigated. For this purpose, partial least squares-discriminant analysis (PLS-DA) for supervised classification to find a boundary between authentic and adulterated saffron samples. Classification accuracies for all models for calibration and prediction sets were 100 %. Finally, a mixed dataset was prepared and analyzed using the proposed strategy which again 100 % of accuracies for calibration and prediction sets were obtained. At the end, data driven soft independent modelling of class analogy (dd-SIMCA) was used to evaluate model for class modeling. Sensitivity was 95% for authentic class and specificities for all adulterants were 100%.
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Affiliation(s)
| | - Hadi Parastar
- Department of Chemistry, Sharif University of Technology, P.O. Box 11155-9516, Tehran, Iran.
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11
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Parastar H, Tauler R. Big (Bio)Chemical Data Mining Using Chemometric Methods: A Need for Chemists. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.201801134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Hadi Parastar
- Department of Chemistry Sharif University of Technology Tehran Iran
| | - Roma Tauler
- Department of Environmental Chemistry IDAEA-CSIC 08034 Barcelona Spain
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12
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Ahmed S, de la Parra J, Elouafi I, German B, Jarvis A, Lal V, Lartey A, Longvah T, Malpica C, Vázquez-Manjarrez N, Prenni J, Aguilar-Salinas CA, Srichamnong W, Rajasekharan M, Shafizadeh T, Siegel JB, Steiner R, Tohme J, Watkins S. Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets. Front Nutr 2022; 9:874312. [PMID: 35592635 PMCID: PMC9113044 DOI: 10.3389/fnut.2022.874312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/09/2022] [Indexed: 12/14/2022] Open
Abstract
Globally, we are failing to meet numerous nutritional, health, and environmental targets linked to food. Defining food composition in its full chemical and quantitative diversity is central to data-driven decision making for supporting nutrition and sustainable diets. "Foodomics"-the application of omics-technology to characterize and quantify biomolecules to improve wellbeing-has the potential to comprehensively elucidate what is in food, how this composition varies across the food system, and how diet composition as an ensemble of foods guides outcomes for nutrition, health, and sustainability. Here, we outline: (i) challenges of evaluating food composition; (ii) state-of-the-art omics technology and innovations for the analysis of food; and (iii) application of foodomics as a complementary data-driven approach to revolutionize nutrition and sustainable diets. Featuring efforts of the Periodic Table of Food Initiative, a participatory effort to create a globally shared foodomics platform, we conclude with recommendations to accelerate foodomics in ways that strengthen the capacity of scientists and benefit all people.
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Affiliation(s)
- Selena Ahmed
- American Heart Association, Inc., Dallas, TX, United States
- Department of Health and Human Development, Montana State University, Bozeman, MT, United States
| | - John de la Parra
- The Rockefeller Foundation, New York, NY, United States
- Harvard University, Cambridge, MA, United States
| | - Ismahane Elouafi
- Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Bruce German
- Food Science and Technology, University of California, Davis, Davis, CA, United States
| | - Andy Jarvis
- International Center for Tropical Agriculture, Cali, Colombia
| | - Vincent Lal
- The Institute of Applied Sciences, The University of the South Pacific, Suva, Fiji
| | - Anna Lartey
- Nutrition and Food Science, University of Ghana, Accra, Ghana
| | - T. Longvah
- National Institute of Nutrition, Hyderabad, India
| | | | | | - Jessica Prenni
- Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, United States
| | | | | | | | | | | | - Roy Steiner
- The Rockefeller Foundation, New York, NY, United States
| | - Joe Tohme
- International Center for Tropical Agriculture, Cali, Colombia
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13
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Shu N, Chen X, Sun X, Cao X, Liu Y, Xu YJ. Metabolomics identify landscape of food sensory properties. Crit Rev Food Sci Nutr 2022; 63:8478-8488. [PMID: 35435783 DOI: 10.1080/10408398.2022.2062698] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Sensory evaluation is a key component of food production strategy. The classical food sensory evaluation method is time-consuming, laborious, costly, and highly subjective. Since flavor (taste and smell), texture, and mouthfeel are all related to the chemical properties of food, there has been a growing interest in how they affect the senses of food. In the past decades, emerging metabolomics has received much attention in the field of sensory evaluation, because it not only offers a broad picture of chemical composition for sensory properties but also revealed their changes and functions in food proceeding. This article reviewed food chemicals regarding the flavor, smell, and texture of foods, and discussed the advantages and limitations of applying metabolomics approaches to sensory evaluation, including GC-MS, LC-MS, and NMR. Taken together, this review gives a comprehensive, critical overview of the current state, future challenges, and trends in metabolomics on food sensory properties.
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Affiliation(s)
- Nanxi Shu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
| | - Xiaoying Chen
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
| | - Xian Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
| | - Xinyu Cao
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
| | - Yuanfa Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
| | - Yong-Jiang Xu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Function Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, China
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14
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Beteinakis S, Papachristodoulou A, Mikros E, Halabalaki M. From sample preparation to NMR-based metabolic profiling in food commodities: The case of table olives. PHYTOCHEMICAL ANALYSIS : PCA 2022; 33:83-93. [PMID: 34096121 DOI: 10.1002/pca.3070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/10/2021] [Accepted: 05/15/2021] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Nuclear magnetic resonance (NMR)-based metabolic profiling has been widely used in food and plant sciences. Despite its simplicity and inherent reproducibility, the determination of the appropriate pre-processing procedures greatly affects the obtained metabolic profile. OBJECTIVES The current study represents a detailed guide of use for untargeted NMR-based metabolic profiling of table olives (Olea europaea L.). METHODS Greek Kalamon table olives from different geographical origins were selected as reference materials. Differently treated samples were extracted using different solvents and/or solvent systems. Chemical profiles were evaluated with high-performance thin layer chromatography (HPTLC). Different deuterated solvents and sample concentrations were evaluated for the recording of optimal quality spectra. RESULTS The methanol extract of freeze-dried table olives was found to contain the most representative secondary metabolites, in higher concentrations, as well. The optimal deuterated solvent for the NMR analysis was methanol-d4 , while final sample concentration should be within the range of 10 to 15 mg/mL. Multivariate data analysis was also used to estimate and confirm the variation and clustering caused by different characteristics of the samples. CONCLUSIONS Results of the present study make evident the necessity for thorough planning and method development prior to any extensive metabolomic study based on NMR spectroscopy. Pre-processing and sample preparation stages seemed to greatly affect the metabolic profile and spectral quality in the case of table olives, which by extrapolation could apply to other food commodities. Nevertheless, the nature of the samples must be fully described in general, in order to proceed to solid conclusions.
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Affiliation(s)
- Stavros Beteinakis
- Division of Pharmacognosy and Natural Products Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Papachristodoulou
- Division of Pharmacognosy and Natural Products Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Emmanuel Mikros
- Division of Pharmaceutical Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Halabalaki
- Division of Pharmacognosy and Natural Products Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
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15
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González-Sálamo J, Varela-Martínez DA, González-Curbelo MÁ, Hernández-Borges J. The Role of Chromatographic and Electromigration Techniques in Foodomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1336:31-49. [PMID: 34628626 DOI: 10.1007/978-3-030-77252-9_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Foodomics is the discipline aimed at studying the prevention of diseases by food, identifying chemical, biological and biochemical food contaminants, determining changes in genetically modified foods, identifying biomarkers able to confirm the authenticity and quality of foods or studying the safety, quality and traceability of foods, among other issues. It is mainly based on the use of genomic, transcriptomic, proteomic and metabolomic tools, among others, in order to understand the effect of food on animals and humans at the level of genes, messenger ribonucleic acid, proteins and metabolites. Since the first definition of Foodomics, a reasonable number of works have shown the extremely high possibilities of this discipline, which is highly based on the use of advanced analytical hyphenated techniques - especially for proteomics and metabolomics. This book chapter aims at providing a general description of the role of chromatographic and electromigration techniques that are currently being applied to achieve the main objectives of Foodomics, particularly in the proteomic and metabolomic fields, since most published works have been focused on these approaches, and to highlight relevant applications.
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Affiliation(s)
- Javier González-Sálamo
- Departamento de Química, Unidad Departamental de Química Analítica, Facultad de Ciencias, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain
| | - Diana Angélica Varela-Martínez
- Departamento de Química, Unidad Departamental de Química Analítica, Facultad de Ciencias, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain.,Departamento de Ciencias Básicas, Facultad de Ingeniería, Universidad EAN, Bogotá D.C., Colombia
| | | | - Javier Hernández-Borges
- Departamento de Química, Unidad Departamental de Química Analítica, Facultad de Ciencias, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain. .,Instituto Universitario de Enfermedades Tropicales y Salud Pública, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain.
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16
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Śliwińska-Bartel M, Burns DT, Elliott C. Rice fraud a global problem: A review of analytical tools to detect species, country of origin and adulterations. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.06.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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17
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18
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Provenance and Uniqueness in the Emerging Botanical and Natural Food Industries—Definition, Issues and Tools. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02079-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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19
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Parinet J. Prediction of pesticide retention time in reversed-phase liquid chromatography using quantitative-structure retention relationship models: A comparative study of seven molecular descriptors datasets. CHEMOSPHERE 2021; 275:130036. [PMID: 33676277 DOI: 10.1016/j.chemosphere.2021.130036] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 02/16/2021] [Accepted: 02/17/2021] [Indexed: 06/12/2023]
Abstract
Predicting chromatographic retention times of pesticides has become more and more important for suspect and non-target screening. Indeed, high-resolution mass spectrometry hyphenated (HRMS) to liquid chromatography (LC) are of growing interest for research and monitoring of pesticides, their metabolites and transformation products. The development of quantitative structure-retention relationship models require selecting the most adequate and best set of molecular descriptors and the best machine-learning algorithm. Here, we used seven molecular descriptor sets extracted from four well-known studies and applied them to roughly 800 pesticides and their chromatographic reversed-phase retention times. We used and optimized five different machine-learning algorithms with these descriptor sets to carry out predictions. Our results show that a support-vector machine regression algorithm with only eight molecular descriptors gave the best compromise between the number of molecular descriptors, processing time and model complexity to optimize prediction performance for this specific gradient LC method.
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Affiliation(s)
- Julien Parinet
- Université de Paris-Est, ANSES, Laboratory for Food Safety, 94700, Maisons-Alfort, France.
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20
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Foodomics technology: promising analytical methods of functional activities of plant polyphenols. Eur Food Res Technol 2021. [DOI: 10.1007/s00217-021-03781-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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21
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Rapid Determination of Endogenous 20-Hydroxyecdysone in Plants on MALDI-TOF/TOF Mass Spectrometry via Chemical Labeling Based on Boronate Affinity. JOURNAL OF ANALYSIS AND TESTING 2021. [DOI: 10.1007/s41664-021-00179-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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22
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Munekata PES, Pateiro M, López-Pedrouso M, Gagaoua M, Lorenzo JM. Foodomics in meat quality. Curr Opin Food Sci 2021. [DOI: 10.1016/j.cofs.2020.10.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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23
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Dong Y, Karboune S. A review of bread qualities and current strategies for bread bioprotection: Flavor, sensory, rheological, and textural attributes. Compr Rev Food Sci Food Saf 2021; 20:1937-1981. [DOI: 10.1111/1541-4337.12717] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/30/2020] [Accepted: 01/07/2021] [Indexed: 12/22/2022]
Affiliation(s)
- YiNing Dong
- Department of Food Science and Agricultural Chemistry, Macdonald Campus McGill University Québec Canada
| | - Salwa Karboune
- Department of Food Science and Agricultural Chemistry, Macdonald Campus McGill University Québec Canada
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24
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Marcheafave GG, Tormena CD, Mattos LE, Liberatti VR, Ferrari ABS, Rakocevic M, Bruns RE, Scarminio IS, Pauli ED. The main effects of elevated CO 2 and soil-water deficiency on 1H NMR-based metabolic fingerprints of Coffea arabica beans by factorial and mixture design. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 749:142350. [PMID: 33370915 DOI: 10.1016/j.scitotenv.2020.142350] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/20/2020] [Accepted: 09/09/2020] [Indexed: 06/12/2023]
Abstract
The metabolic response of Coffea arabica trees in the face of the rising atmospheric concentration of carbon dioxide (CO2) combined with the reduction in soil-water availability is complex due to the various (bio)chemical feedbacks. Modern analytical tools and the experimental advance of agronomic science tend to advance in the understanding of the metabolic complexity of plants. In this work, Coffea arabica trees were grown in a Free-Air Carbon Dioxide Enrichment dispositive under factorial design (22) conditions considering two CO2 levels and two soil-water availabilities. The 1H NMR mixture design-fingerprinting effects of CO2 and soil-water levels on beans were strategically investigated using the principal component analysis (PCA), analysis of variance (ANOVA) - simultaneous component analysis (ASCA) and partial least squares-discriminant analysis (PLS-DA). From the ASCA, the CO2 factor had a significant effect on changing the 1H NMR profile of fingerprints. The soil-water factor and interaction (CO2 × soil-water) were not significant. 1H NMR fingerprints with PCA, ASCA and PLS-DA analysis determined spectral profiles for fatty acids, caffeine, trigonelline and glucose increases in beans from current CO2, while quinic acid/chlorogenic acids, malic acid and kahweol/cafestol increased in coffee beans from elevated CO2. PLS-DA results revealed a good classification performance between the significant effect of the atmospheric CO2 levels on the fingerprints, regardless of the soil-water availabilities. Finally, the PLS-DA model showed good prediction ability, successfully classifying validation data-set of coffee beans collected over the vertical profile of the plants and included several fingerprints of different extracting solvents. The results of this investigation suggest that the association of experimental design, mixture design, PCA, ASCA and PLS-DA can provide accurate information on a series of metabolic changes provoked by climate changes in products of commercial importance, in addition to minimizing the extra work necessary in classic analytical approaches, encouraging the development of similar strategies.
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Affiliation(s)
- Gustavo Galo Marcheafave
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Cláudia Domiciano Tormena
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Lavínia Eduarda Mattos
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Vanessa Rocha Liberatti
- Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | | | - Miroslava Rakocevic
- Northern Rio de Janeiro State University - UENF, Plant Physiology Lab, Av. Alberto Lamego 2000, 28013-602 Campos dos Goytacazes, RJ, Brazil; Embrapa Environment, Rodovia SP 340, Km 127.5, 13820-000 Jaguariúna, SP, Brazil
| | - Roy Edward Bruns
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil
| | - Ieda Spacino Scarminio
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Elis Daiane Pauli
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil
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25
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Jagirani MS, Soylak M. Review: Microextraction Technique Based New Trends in Food Analysis. Crit Rev Anal Chem 2020; 52:968-999. [PMID: 33253048 DOI: 10.1080/10408347.2020.1846491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Food chemistry is the study and classification of the quality and origin of foods. The identification of definite biomarkers and the determination of residue contaminants such as toxins, pesticides, metals, human and veterinary drugs, which are a very common source of food-borne diseases. The food analysis is continuously demanding the improvement of more robust, sensitive, highly efficient, and economically beneficial analytical approaches to promise the traceability, safety, and quality of foods in the acquiescence with the consumers and legislation demands. The traditional methods have been used at the starting of the 20th century based on wet chemical methods. Now it existing the powerful analytical techniques used in food analysis and safety. This development has led to substantial enhancements in the analytical accuracy, precision, sensitivity, selectivity, thereby mounting the applied range of food applications. In the present decade, microextraction (micro-scale extraction) pays more attention due to its futures such as low consumption of solvent and sample, throughput analysis easy to operate, greener, robotics, and miniaturization, different adsorbents have been used in the microextraction process with unique nature recognized with wide range applications.
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Affiliation(s)
- Muhammed Saqaf Jagirani
- Faculty of Sciences, Department of Chemistry, Erciyes University, Kayseri, Turkey.,National Center of Excellence in Analytical Chemistry, University of Sindh, Sindh, Pakistan
| | - Mustafa Soylak
- Faculty of Sciences, Department of Chemistry, Erciyes University, Kayseri, Turkey.,Technology Research and Application Center (TAUM), Erciyes University, Kayseri, Turkey
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26
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Donno D, Mellano MG, Gamba G, Riondato I, Beccaro GL. Analytical Strategies for Fingerprinting of Antioxidants, Nutritional Substances, and Bioactive Compounds in Foodstuffs Based on High Performance Liquid Chromatography-Mass Spectrometry: An Overview. Foods 2020; 9:foods9121734. [PMID: 33255692 PMCID: PMC7760506 DOI: 10.3390/foods9121734] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 01/12/2023] Open
Abstract
New technology development and globalisation have led to extreme changes in the agri-food sector in recent years that need an important food supply chain characterisation from plant materials to commercial productions. Many analytical strategies are commonly utilised in the agri-food industry, often using complementary technologies with different purposes. Chromatography on-line coupled to mass spectrometry (MS) is one of the most selective and sensitive analytical methodologies. The purpose of this overview is to present the most recent MS-based techniques applied to food analysis. An entire section is dedicated to the recent applications of high-resolution MS. Covered topics include liquid (LC)– and gas chromatography (GC)–MS analysis of natural bioactive substances, including carbohydrates, flavonoids and related compounds, lipids, phenolic compounds, vitamins, and other different molecules in foodstuffs from the perspectives of food composition, food authenticity and food adulteration. The results represent an important contribution to the utilisation of GC–MS and LC–MS in the field of natural bioactive compound identification and quantification.
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27
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Sun T, Wang X, Cong P, Xu J, Xue C. Mass spectrometry-based lipidomics in food science and nutritional health: A comprehensive review. Compr Rev Food Sci Food Saf 2020; 19:2530-2558. [PMID: 33336980 DOI: 10.1111/1541-4337.12603] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 05/14/2020] [Accepted: 06/10/2020] [Indexed: 12/16/2022]
Abstract
With the advance in science and technology as well as the improvement of living standards, the function of food is no longer just to meet the needs of survival. Food science and its associated nutritional health issues have been increasingly debated. Lipids, as complex metabolites, play a key role both in food and human health. Taking advantages of mass spectrometry (MS) by combining its high sensitivity and accuracy with extensive selective determination of all lipid classes, MS-based lipidomics has been employed to resolve the conundrum of addressing both qualitative and quantitative aspects of high-abundance and low-abundance lipids in complex food matrices. In this review, we systematically summarize current applications of MS-based lipidomics in food field. First, common MS-based lipidomics procedures are described. Second, the applications of MS-based lipidomics in food science, including lipid composition characterization, adulteration, traceability, and other issues, are discussed. Third, the application of MS-based lipidomics for nutritional health covering the influence of food on health and disease is introduced. Finally, future research trends and challenges are proposed. MS-based lipidomics plays an important role in the field of food science, promoting continuous development of food science and integration of food knowledge with other disciplines. New methods of MS-based lipidomics have been developed to improve accuracy and sensitivity of lipid analysis in food samples. These developments offer the possibility to fully characterize lipids in food samples, identify novel functional lipids, and better understand the role of food in promoting healt.
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Affiliation(s)
- Tong Sun
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Xincen Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Peixu Cong
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Jie Xu
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Changhu Xue
- College of Food Science and Engineering, Ocean University of China, Qingdao, China.,Qingdao National Laboratory for Marine Science and Technology, Laboratory of Marine Drugs & Biological Products, Qingdao, China
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28
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Cozzolino D. The Sample, the Spectra and the Maths-The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy. Molecules 2020; 25:E3674. [PMID: 32806655 PMCID: PMC7466136 DOI: 10.3390/molecules25163674] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/03/2020] [Accepted: 08/07/2020] [Indexed: 12/02/2022] Open
Abstract
The last two decades have witnessed an increasing interest in the use of the so-called rapid analytical methods or high throughput techniques. Most of these applications reported the use of vibrational spectroscopy methods (near infrared (NIR), mid infrared (MIR), and Raman) in a wide range of samples (e.g., food ingredients and natural products). In these applications, the analytical method is integrated with a wide range of multivariate data analysis (MVA) techniques (e.g., pattern recognition, modelling techniques, calibration, etc.) to develop the target application. The availability of modern and inexpensive instrumentation together with the access to easy to use software is determining a steady growth in the number of uses of these technologies. This paper underlines and briefly discusses the three critical pillars-the sample (e.g., sampling, variability, etc.), the spectra and the mathematics (e.g., algorithms, pre-processing, data interpretation, etc.)-that support the development and implementation of vibrational spectroscopy applications.
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Affiliation(s)
- Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Queensland 4072, Australia;
- ARC Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Block 10, Level 1, 39 Kessels Rd, Coopers Plains Qld 4108, Australia
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29
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Aydoğan C, Rigano F, Krčmová LK, Chung DS, Macka M, Mondello L. Miniaturized LC in Molecular Omics. Anal Chem 2020; 92:11485-11497. [DOI: 10.1021/acs.analchem.0c01436] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Cemil Aydoğan
- Biochemistry Division, Department of Chemistry, Bingöl University, Bingöl 12000,Turkey
- Department of Food Engineering, Bingöl University, Bingöl 12000,Turkey
| | - Francesca Rigano
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
| | - Lenka Kujovská Krčmová
- Department of Analytical Chemistry, Faculty of Pharmacy, Charles University, Akademika Heyrovského 1203, Hradec Králové 500 05, Czech Republic
- Department of Clinical Biochemistry and Diagnostics, University Hospital, Sokolská 581, Hradec Králové 500 05, Czech Republic
| | - Doo Soo Chung
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
| | - Mirek Macka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00Brno, Czech Republic
- School of Natural Sciences and Australian Centre for Research on Separation Science (ACROSS), University of Tasmania, Private Bag 75, Hobart 7001, Australia
| | - Luigi Mondello
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
- Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
- Department of Sciences and Technologies for Human and Environment, University Campus Bio-Medico of Rome, Rome I-00128, Italy
- BeSep s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
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30
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Parastar H, van Kollenburg G, Weesepoel Y, van den Doel A, Buydens L, Jansen J. Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107149] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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31
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Li S, Tian Y, Jiang P, Lin Y, Liu X, Yang H. Recent advances in the application of metabolomics for food safety control and food quality analyses. Crit Rev Food Sci Nutr 2020; 61:1448-1469. [PMID: 32441547 DOI: 10.1080/10408398.2020.1761287] [Citation(s) in RCA: 151] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
As one of the omics fields, metabolomics has unique advantages in facilitating the understanding of physiological and pathological activities in biology, physiology, pathology, and food science. In this review, based on developments in analytical chemistry tools, cheminformatics, and bioinformatics methods, we highlight the current applications of metabolomics in food safety, food authenticity and quality, and food traceability. Additionally, the combined use of metabolomics with other omics techniques for "foodomics" is comprehensively described. Finally, the latest developments and advances, practical challenges and limitations, and requirements related to the application of metabolomics are critically discussed, providing new insight into the application of metabolomics in food analysis.
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Affiliation(s)
- Shubo Li
- College of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Yufeng Tian
- College of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Pingyingzi Jiang
- College of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Ying Lin
- College of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Xiaoling Liu
- College of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Hongshun Yang
- Department of Food Science & Technology, National University of Singapore, Singapore, Singapore
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32
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Dixit D, Reddy C, Trivedi M, Gadhavi DK. Non‐targeted metabolomics approach to assess the brown marine macroalga
Dictyota dichotoma
as a functional food using liquid chromatography with mass spectrometry. SEPARATION SCIENCE PLUS 2020. [DOI: 10.1002/sscp.201900109] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Dhara Dixit
- Department of Earth & Environmental ScienceKrantiguru Shyamji Krishna Verma (K.S.K.V.) Kachchh University Bhuj‐370001 Kachchh Gujarat India
| | - C.R.K. Reddy
- DBT‐ICT Centre for Energy BiosciencesInstitute of Chemical Technology Mumbai‐400019 Maharashtra India
- Division of Marine Biotechnology & EcologyCSIR‐ Central Salt and Marine Chemicals Research Institute Bhavnagar‐364002 Gujarat India
| | - M.H. Trivedi
- Department of Earth & Environmental ScienceKrantiguru Shyamji Krishna Verma (K.S.K.V.) Kachchh University Bhuj‐370001 Kachchh Gujarat India
| | - Devesh K. Gadhavi
- Kutch Ecological Research Centre ‐ A Division of The Corbett Foundation Kachchh Gujarat India
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33
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Iametti S, Barbiroli A, Marengo M, Bonomi F. Greetings from foodland: Teaching biochemistry to BS students in food-related courses in Italy. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2019; 47:394-403. [PMID: 30985970 DOI: 10.1002/bmb.21245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 03/31/2019] [Indexed: 06/09/2023]
Abstract
Biochemistry has always been a mandatory topic within BS courses aimed at food science students at the University of Milan, namely: Food Science & Technology and Catering Sciences. Addressing biochemistry topics in this peculiar setting requires: (i) specific focus on topics that are seldom considered in courses offered in bio-medical curricula; (ii) close integration with other area disciplines, such as food biotechnology; (iii) ad hoc design of laboratory classes; and (iv) an array of elective courses covering specific aspects of biochemistry. In this context, for example, protein chemistry is presented by using food proteins of known structure and discussed in terms of structural features in the raw materials and of structural and chemical modifications occurring upon processing. Along the same lines, metabolic pathways and their regulation are presented starting from widespread metabolism-related issues and to issues related to food safety (including food allergies and intolerances). A similar "hands on" approach is used for laboratory classes, that cover about one third of total credits and are aimed at providing fundamental-type information by analyzing practical situations in the food chain. In spite of their inherent complexity and volume, biochemistry courses score very well with the students in mandatory anonymous surveys. Our approach to biochemistry courses seems to help the students in "visualizing" the practical implications of concepts acquired in other courses within their curricula. The students' appreciation is confirmed by the sizeable attendance to elective and specialized biochemical-themed courses. © 2019 International Union of Biochemistry and Molecular Biology, 47(4):394-403, 2019.
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Affiliation(s)
- Stefania Iametti
- Department of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy
| | - Alberto Barbiroli
- Department of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy
| | - Mauro Marengo
- Department of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy
| | - Francesco Bonomi
- Department of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy
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Campillo N, López-García I, Hernández-Córdoba M, Viñas P. Food and beverage applications of liquid-phase microextraction. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.10.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Zhang S, Yang Q, Wang C, Luo X, Kim J, Wang Z, Yamauchi Y. Porous Organic Frameworks: Advanced Materials in Analytical Chemistry. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2018; 5:1801116. [PMID: 30581707 PMCID: PMC6299720 DOI: 10.1002/advs.201801116] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 08/30/2018] [Indexed: 04/14/2023]
Abstract
Porous organic frameworks (POFs), a general term for covalent-organic frameworks (COFs), covalent triazine frameworks (CTFs), porous aromatic frameworks (PAFs), etc., are constructed from organic building monomers with strong covalent bonds and have generated great interest among researchers. The remarkable features, such as large surface areas, permanent porosity, high thermal and chemical stability, and convenient functionalization, promote the great potential of POFs in diverse applications. A critical overview of the important development in the design and synthesis of COFs, CTFs, and PAFs is provided and their state-of-the-art applications in analytical chemistry are discussed. POFs and their functional composites have been explored as advanced materials in "turn-off" or "turn-on" fluorescence detection and novel stationary phases for chromatographic separation, as well as a promising adsorbent for sample preparation methods. In addition, the prospects for the synthesis and utilization of POFs in analytical chemistry are also presented. These prospects can offer an outlook and reference for further study of the applications of POFs.
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Affiliation(s)
- Shuaihua Zhang
- Department of ChemistryCollege of ScienceHebei Agricultural UniversityBaoding071001HebeiChina
| | - Qian Yang
- Department of ChemistryCollege of ScienceHebei Agricultural UniversityBaoding071001HebeiChina
| | - Chun Wang
- Department of ChemistryCollege of ScienceHebei Agricultural UniversityBaoding071001HebeiChina
| | - Xiliang Luo
- Key Laboratory of Sensor Analysis of Tumor Marker (Ministry of Education)Shandong Key Laboratory of Biochemical Analysis, and Key Laboratory of Analytical Chemistry for Life Science in Universities of ShandongCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao266042China
| | - Jeonghun Kim
- School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology (AIBN)The University of QueenslandBrisbaneQLD4072Australia
| | - Zhi Wang
- Department of ChemistryCollege of ScienceHebei Agricultural UniversityBaoding071001HebeiChina
| | - Yusuke Yamauchi
- Key Laboratory of Sensor Analysis of Tumor Marker (Ministry of Education)Shandong Key Laboratory of Biochemical Analysis, and Key Laboratory of Analytical Chemistry for Life Science in Universities of ShandongCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao266042China
- School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology (AIBN)The University of QueenslandBrisbaneQLD4072Australia
- International Center for Materials Nanoarchitectonics (MANA)National Institute for Materials Science (NIMS)1‐1 NamikiTsukubaIbaraki305‐0044Japan
- Department of Plant & Environmental New ResourcesKyung Hee University1732 Deogyeong‐daeroGiheung‐gu, Yongin‐siGyeonggi‐do446‐701South Korea
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Muste C, Owens KG. Cell-Free Identification of S. cerevisiae Strains by Analysis of Supernatant Using LC-MS. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:2260-2267. [PMID: 30105741 DOI: 10.1007/s13361-018-2046-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 07/13/2018] [Accepted: 07/26/2018] [Indexed: 06/08/2023]
Abstract
Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromatography/mass spectrometry (LC-MS), and two chemometric methods to identify and classify yeast strains. Five strains of Saccharomyces cerevisiae were successfully identified in various stages of growth. In addition, peptide/protein identification was performed, without the need for additional data acquisition. Graphical Abstract ᅟ.
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Affiliation(s)
- Cathy Muste
- Department of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA
| | - Kevin G Owens
- Department of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA.
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Characterization of Cultivar Differences of Blueberry Wines Using GC-QTOF-MS and Metabolic Profiling Methods. Molecules 2018; 23:molecules23092376. [PMID: 30227669 PMCID: PMC6225290 DOI: 10.3390/molecules23092376] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 09/14/2018] [Accepted: 09/15/2018] [Indexed: 11/17/2022] Open
Abstract
A non-targeted volatile metabolomic approach based on the gas chromatography-quadrupole time of fight-mass spectrometry (GC-QTOF-MS) coupled with two different sample extraction techniques (solid phase extraction and solid phase microextraction) was developed. Combined mass spectra of blueberry wine samples, which originated from two different cultivars, were subjected to orthogonal partial least squares-discriminant analysis (OPLS-DA). Principal component analysis (PCA) reveals an excellent separation and OPLS-DA highlight metabolic features responsible for the separation. Metabolic features responsible for the observed separation were tentatively assigned to phenylethyl alcohol, cinnamyl alcohol, benzenepropanol, 3-hydroxy-benzenethanol, methyl eugenol, methyl isoeugenol, (E)-asarone, (Z)-asarone, and terpenes. Several of the selected markers enabled a distinction in secondary metabolism to be drawn between two blueberry cultivars. It highlights the metabolomic approaches to find out the influence of blueberry cultivar on a volatile composition in a complex blueberry wine matrix. The distinction in secondary metabolism indicated a possible O-methyltransferases activity difference among the two cultivars.
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Main complications connected with detection, identification and determination of trace organic constituents in complex matrix samples. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.05.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Andjelković U, Josić D. Mass spectrometry based proteomics as foodomics tool in research and assurance of food quality and safety. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.04.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Wannenmacher J, Gastl M, Becker T. Phenolic Substances in Beer: Structural Diversity, Reactive Potential and Relevance for Brewing Process and Beer Quality. Compr Rev Food Sci Food Saf 2018; 17:953-988. [PMID: 33350107 DOI: 10.1111/1541-4337.12352] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 03/14/2018] [Accepted: 03/15/2018] [Indexed: 12/11/2022]
Abstract
For the past 100 years, polyphenol research has played a central role in brewing science. The class of phenolic substances comprises simple compounds built of 1 phenolic group as well as monomeric and oligomeric flavonoid compounds. As potential anti- or prooxidants, flavor precursors, flavoring agents and as interaction partners with other beer constituents, they influence important beer quality characteristics: flavor, color, colloidal, and flavor stability. The reactive potential of polyphenols is defined by their basic chemical structure, hydroxylation and substitution patterns and degree of polymerization. The quantitative and qualitative profile of phenolic substances in beer is determined by raw material choice. During the malting and brewing process, phenolic compounds undergo changes as they are extracted or enzymatically released, are subjected to heat-induced chemical reactions or are precipitated with or adsorbed to hot and cold trub, yeast cells and stabilization agents. This review presents the current state of knowledge of the composition of phenolic compounds in beer and brewing raw materials with a special focus on their fate from raw materials throughout the malting and brewing process to the final beer. Due to high-performance analytical techniques, new insights have been gained on the structure and function of phenolic substance groups, which have hitherto received little attention. This paper presents important information and current studies on the potential of phenolics to interact with other beer constituents and thus influence quality parameters. The structural features which determine the reactive potential of phenolic substances are discussed.
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Affiliation(s)
- Julia Wannenmacher
- Inst. of Brewing and Beverage Technology, Technical Univ. of Munich, Weihenstephaner Steig 20, 85354, Freising, Germany
| | - Martina Gastl
- Inst. of Brewing and Beverage Technology, Technical Univ. of Munich, Weihenstephaner Steig 20, 85354, Freising, Germany
| | - Thomas Becker
- Inst. of Brewing and Beverage Technology, Technical Univ. of Munich, Weihenstephaner Steig 20, 85354, Freising, Germany
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Wu S, Qian L, Huang L, Sun X, Su H, Gurav DD, Jiang M, Cai W, Qian K. A Plasmonic Mass Spectrometry Approach for Detection of Small Nutrients and Toxins. NANO-MICRO LETTERS 2018; 10:52. [PMID: 30393701 PMCID: PMC6199099 DOI: 10.1007/s40820-018-0204-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 04/17/2018] [Indexed: 05/23/2023]
Abstract
Nutriology relies on advanced analytical tools to study the molecular compositions of food and provide key information on sample quality/safety. Small nutrients detection is challenging due to the high diversity and broad dynamic range of molecules in food samples, and a further issue is to track low abundance toxins. Herein, we developed a novel plasmonic matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) approach to detect small nutrients and toxins in complex biological emulsion samples. Silver nanoshells (SiO2@Ag) with optimized structures were used as matrices and achieved direct analysis of ~ 6 nL of human breast milk without any enrichment or separation. We performed identification and quantitation of small nutrients and toxins with limit-of-detection down to 0.4 pmol (for melamine) and reaction time shortened to minutes, which is superior to the conventional biochemical method currently in use. The developed approach contributes to the near-future application of MALDI MS in a broad field and personalized design of plasmonic materials for real-case bio-analysis.
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Affiliation(s)
- Shu Wu
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Linxi Qian
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University, Shanghai, 200092, People's Republic of China
| | - Lin Huang
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Xuming Sun
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Haiyang Su
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Deepanjali D Gurav
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Mawei Jiang
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University, Shanghai, 200092, People's Republic of China
| | - Wei Cai
- Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University, Shanghai, 200092, People's Republic of China.
| | - Kun Qian
- School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
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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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Tauler R, Parastar H. Big (Bio)Chemical Data Mining Using Chemometric Methods: A Need for Chemists. Angew Chem Int Ed Engl 2018; 61:e201801134. [DOI: 10.1002/anie.201801134] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Indexed: 11/08/2022]
Affiliation(s)
- Roma Tauler
- IDAEA-CSIC Environmental Chemistry Jordi Girona 18-26 08034 Barcelona SPAIN
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Abstract
Current food production faces tremendous challenges from growing human population, maintaining clean resources and food qualities, and protecting climate and environment. Food sustainability is mostly a cooperative effort resulting in technology development supported by both governments and enterprises. Multiple attempts have been promoted in tackling challenges and enhancing drivers in food production. Biosensors and biosensing technologies with their applications, are being widely applied to tackling top challenges in food production and its sustainability. Consequently, a growing demand in biosensing technologies exists in food sustainability. Microfluidics represents a technological system integrating multiple technologies. Nanomaterials, with its technology in biosensing, is thought to be the most promising tool in dealing with health, energy, and environmental issues closely related to world populations. The demand of point of care (POC) technologies in this area focus on rapid, simple, accurate, portable, and low-cost analytical instruments. This review provides current viewpoints from the literature on biosensing in food production, food processing, safety and security, food packaging and supply chain, food waste processing, food quality assurance, and food engineering. The current understanding of progress, solution, and future challenges, as well as the commercialization of biosensors are summarized.
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Braconi D, Bernardini G, Millucci L, Santucci A. Foodomics for human health: current status and perspectives. Expert Rev Proteomics 2017; 15:153-164. [PMID: 29271263 DOI: 10.1080/14789450.2018.1421072] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In the post-genomic era, the opportunity to combine and integrate cutting-edge analytical platforms and data processing systems allowed the birth of foodomics, 'a discipline that studies the Food and Nutrition domains through the application of advanced omics technologies to improve consumer's well-being, health, and confidence'. Since then, this discipline has rapidly evolved and researchers are now facing the daunting tasks to meet consumers' needs in terms of food traceability, sustainability, quality, safety and integrity. Most importantly, today it is imperative to provide solid evidence of the mechanisms through which food can promote human health and well-being. Areas covered: In this review, the complex relationships connecting food, nutrition and human health will be discussed, with emphasis on the relapses for the development of functional foods and nutraceuticals, personalized nutrition approaches, and the study of the interplay among gut microbiota, diet and health/diseases. Expert commentary: Evidence has been provided supporting the role of various omic platforms in studying the health-promoting effects of food and customized dietary interventions. However, although associated to major analytical challenges, only the proper integration of multi-omics studies and the implementation of bioinformatics tools and databases will help translate findings from clinical practice into effective personalized treatment strategies.
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Affiliation(s)
- Daniela Braconi
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Giulia Bernardini
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Lia Millucci
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
| | - Annalisa Santucci
- a Dipartimento di Biotecnologie, Chimica e Farmacia , Università degli Studi di Siena , Siena , Italy
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