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Monyela S, Kayoka PN, Ngezimana W, Nemadodzi LE. Evaluating the Metabolomic Profile and Anti-Pathogenic Properties of Cannabis Species. Metabolites 2024; 14:253. [PMID: 38786730 PMCID: PMC11122914 DOI: 10.3390/metabo14050253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
The Cannabis species is one of the potent ancient medicinal plants acclaimed for its medicinal properties and recreational purposes. The plant parts are used and exploited all over the world for several agricultural and industrial applications. For many years Cannabis spp. has proven to present a highly diverse metabolomic profile with a pool of bioactive metabolites used for numerous pharmacological purposes ranging from anti-inflammatory to antimicrobial. Cannabis sativa has since been an extensive subject of investigation, monopolizing the research. Hence, there are fewer studies with a comprehensive understanding of the composition of bioactive metabolites grown in different environmental conditions, especially C. indica and a few other Cannabis strains. These pharmacological properties are mostly attributed to a few phytocannabinoids and some phytochemicals such as terpenoids or essential oils which have been tested for antimicrobial properties. Many other discovered compounds are yet to be tested for antimicrobial properties. These phytochemicals have a series of useful properties including anti-insecticidal, anti-acaricidal, anti-nematicidal, anti-bacterial, anti-fungal, and anti-viral properties. Research studies have reported excellent antibacterial activity against Gram-positive and Gram-negative multidrug-resistant bacteria as well as methicillin-resistant Staphylococcus aureus (MRSA). Although there has been an extensive investigation on the antimicrobial properties of Cannabis, the antimicrobial properties of Cannabis on phytopathogens and aquatic animal pathogens, mostly those affecting fish, remain under-researched. Therefore, the current review intends to investigate the existing body of research on metabolomic profile and anti-microbial properties whilst trying to expand the scope of the properties of the Cannabis plant to benefit the health of other animal species and plant crops, particularly in agriculture.
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Affiliation(s)
- Shadrack Monyela
- Department of Agriculture and Animal Health, University of South Africa, Science Campus, Florida, Johannesburg 1710, South Africa
| | - Prudence Ngalula Kayoka
- Department of Agriculture and Animal Health, University of South Africa, Science Campus, Florida, Johannesburg 1710, South Africa
| | - Wonder Ngezimana
- Department of Horticulture, Faculty of Plant and Animal Sciences and Technology, Marondera University of Agricultural Sciences and Technology, Marondera P.O. Box 35, Zimbabwe
| | - Lufuno Ethel Nemadodzi
- Department of Agriculture and Animal Health, University of South Africa, Science Campus, Florida, Johannesburg 1710, South Africa
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Zhang J, Sun M, Elmaidomy AH, Youssif KA, Zaki AMM, Hassan Kamal H, Sayed AM, Abdelmohsen UR. Emerging trends and applications of metabolomics in food science and nutrition. Food Funct 2023; 14:9050-9082. [PMID: 37740352 DOI: 10.1039/d3fo01770b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
The study of all chemical processes involving metabolites is known as metabolomics. It has been developed into an essential tool in several disciplines, such as the study of plant physiology, drug development, human diseases, and nutrition. The field of food science, diagnostic biomarker research, etiological analysis in the field of medical therapy, and raw material quality, processing, and safety have all benefited from the use of metabolomics recently. Food metabolomics includes the use of metabolomics in food production, processing, and human diets. As a result of changing consumer habits and the rising of food industries all over the world, there is a remarkable increase in interest in food quality and safety. It requires the employment of various technologies for the food supply chain, processing of food, and even plant breeding. This can be achieved by understanding the metabolome of food, including its biochemistry and composition. Additionally, Food metabolomics can be used to determine the similarities and differences across crop kinds, as an indicator for tracking the process of ripening to increase crops' shelf life and attractiveness, and identifying metabolites linked to pathways responsible for postharvest disorders. Moreover, nutritional metabolomics is used to investigate the connection between diet and human health through detection of certain biomarkers. This review assessed and compiled literature on food metabolomics research with an emphasis on metabolite extraction, detection, and data processing as well as its applications to the study of food nutrition, food-based illness, and phytochemical analysis. Several studies have been published on the applications of metabolomics in food but further research concerning the use of standard reproducible procedures must be done. The results published showed promising uses in the food industry in many areas such as food production, processing, and human diets. Finally, metabolome-wide association studies (MWASs) could also be a useful predictor to detect the connection between certain diseases and low molecular weight biomarkers.
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Affiliation(s)
- Jianye Zhang
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Mingna Sun
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Abeer H Elmaidomy
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62511, Egypt
| | - Khayrya A Youssif
- Department of Pharmacognosy, Faculty of Pharmacy, El-Saleheya El Gadida University, Cairo, Egypt
| | - Adham M M Zaki
- Faculty of Pharmacy, Minia University, Minia 61519, Egypt
| | - Hossam Hassan Kamal
- Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
| | - Ahmed M Sayed
- Department of Pharmacognosy, Faculty of Pharmacy, Nahda University, 62513 Beni-Suef, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Almaaqal University, 61014 Basra, Iraq
| | - Usama Ramadan Abdelmohsen
- Department of Pharmacognosy, Faculty of Pharmacy, Minia University, Minia 61519, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
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Vrobel O, Tarkowski P. Can plant hormonomics be built on simple analysis? A review. PLANT METHODS 2023; 19:107. [PMID: 37833752 PMCID: PMC10576392 DOI: 10.1186/s13007-023-01090-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/08/2023] [Indexed: 10/15/2023]
Abstract
The field of plant hormonomics focuses on the qualitative and quantitative analysis of the hormone complement in plant samples, akin to other omics sciences. Plant hormones, alongside primary and secondary metabolites, govern vital processes throughout a plant's lifecycle. While active hormones have received significant attention, studying all related compounds provides valuable insights into internal processes. Conventional single-class plant hormone analysis employs thorough sample purification, short analysis and triple quadrupole tandem mass spectrometry. Conversely, comprehensive hormonomics analysis necessitates minimal purification, robust and efficient separation and better-performing mass spectrometry instruments. This review summarizes the current status of plant hormone analysis methods, focusing on sample preparation, advances in chromatographic separation and mass spectrometric detection, including a discussion on internal standard selection and the potential of derivatization. Moreover, current approaches for assessing the spatiotemporal distribution are evaluated. The review touches on the legitimacy of the term plant hormonomics by exploring the current status of methods and outlining possible future trends.
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Affiliation(s)
- Ondřej Vrobel
- Department of Biochemistry, Faculty of Science, Palacky University, Olomouc, Czech Republic
- Czech Advanced Technology and Research Institute, Palacky University, Olomouc, Czech Republic
- Department of Genetic Resources for Vegetables, Medicinal and Special Plants, Crop Research Institute, Olomouc, Czech Republic
| | - Petr Tarkowski
- Czech Advanced Technology and Research Institute, Palacky University, Olomouc, Czech Republic.
- Department of Genetic Resources for Vegetables, Medicinal and Special Plants, Crop Research Institute, Olomouc, Czech Republic.
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Abdul-Khalek N, Wimmer R, Overgaard MT, Gregersen Echers S. Insight on physicochemical properties governing peptide MS1 response in HPLC-ESI-MS/MS: A deep learning approach. Comput Struct Biotechnol J 2023; 21:3715-3727. [PMID: 37560124 PMCID: PMC10407266 DOI: 10.1016/j.csbj.2023.07.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 08/11/2023] Open
Abstract
Accurate and absolute quantification of peptides in complex mixtures using quantitative mass spectrometry (MS)-based methods requires foreground knowledge and isotopically labeled standards, thereby increasing analytical expenses, time consumption, and labor, thus limiting the number of peptides that can be accurately quantified. This originates from differential ionization efficiency between peptides and thus, understanding the physicochemical properties that influence the ionization and response in MS analysis is essential for developing less restrictive label-free quantitative methods. Here, we used equimolar peptide pool repository data to develop a deep learning model capable of identifying amino acids influencing the MS1 response. By using an encoder-decoder with an attention mechanism and correlating attention weights with amino acid physicochemical properties, we obtain insight on properties governing the peptide-level MS1 response within the datasets. While the problem cannot be described by one single set of amino acids and properties, distinct patterns were reproducibly obtained. Properties are grouped in three main categories related to peptide hydrophobicity, charge, and structural propensities. Moreover, our model can predict MS1 intensity output under defined conditions based solely on peptide sequence input. Using a refined training dataset, the model predicted log-transformed peptide MS1 intensities with an average error of 9.7 ± 0.5% based on 5-fold cross validation, and outperformed random forest and ridge regression models on both log-transformed and real scale data. This work demonstrates how deep learning can facilitate identification of physicochemical properties influencing peptide MS1 responses, but also illustrates how sequence-based response prediction and label-free peptide-level quantification may impact future workflows within quantitative proteomics.
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Affiliation(s)
- Naim Abdul-Khalek
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
| | - Reinhard Wimmer
- Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark
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Hotea I, Sirbu C, Plotuna AM, Tîrziu E, Badea C, Berbecea A, Dragomirescu M, Radulov I. Integrating (Nutri-)Metabolomics into the One Health Tendency-The Key for Personalized Medicine Advancement. Metabolites 2023; 13:800. [PMID: 37512507 PMCID: PMC10384896 DOI: 10.3390/metabo13070800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Metabolomics is an advanced technology, still under development, with multiple research applications, especially in the field of health. Individual metabolic profiles, the functionality of the body, as well as its interaction with the environment, can be established using this technology. The body's response to various external factors, including the food consumed and the nutrients it contains, has increased researchers' interest in nutrimetabolomics. Establishing correlations between diet and the occurrence of various diseases, or even the development of personalized nutrition plans, could contribute to advances in precision medicine. The interdependence between humans, animals, and the environment is of particular importance today, with the dramatic emergence and spread of zoonotic diseases, food, water and soil contamination, and the degradation of resources and habitats. All these events have led to an increase in risk factors for functional diseases, burdening global health. Thus, this study aimed to highlight the importance of metabolomics, and, in particular, nutrimetabolomics, as a technical solution for a holistic, collaborative, and precise approach for the advancement of the One Health strategy.
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Affiliation(s)
- Ionela Hotea
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Catalin Sirbu
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Ana-Maria Plotuna
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Emil Tîrziu
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Corina Badea
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Adina Berbecea
- Faculty of Agriculture, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Monica Dragomirescu
- Faculty of Bioengineering of Animal Resources, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Isidora Radulov
- Faculty of Agriculture, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
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Shi J, Sun X, Wang Y, Yin S, Liu Y, Xu YJ. Foodomics reveals altered lipid and protein profiles of Antarctic krill (Euphausia superba) under different processing. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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Gao B, Lu W, Jin M, Chen Y. Non-targeted metabolomics of moldy wheat by ultra-performance liquid chromatography - quadrupole time-of-flight mass spectrometry. Front Microbiol 2023; 14:1136516. [PMID: 37089557 PMCID: PMC10119584 DOI: 10.3389/fmicb.2023.1136516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/28/2023] [Indexed: 04/25/2023] Open
Abstract
Introduction As one of the staple foods for the world's major populations, the safety of wheat is critical in ensuring people's wellbeing. However, mildew is one of the prevalent safety issues that threatens the quality of wheat during growth, production, and storage. Due to the complex nature of the microbial metabolites, the rapid identification of moldy wheat is challenging. Methods In this research, identification of moldy wheat samples was studied using ultra-performance liquid chromatography - quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) coupled with chemometrics. The non-targeted PCA model for identifying moldy wheat from normal wheat was established by using previously established compounds database of authentic wheat samples. The partial least squares-discriminant analysis (PLS-DA) was performed. Results and discussion By optimizing the model parameters, correct discrimination of the moldy wheat as low as 5% (w/w) adulteration level could be achieved. Differential biomarkers unique to moldy wheat were also extracted to identify between the moldy and authentic wheat samples. The results demonstrated that the chemical information of wheat combined with the existing PCA model could efficiently discriminate between the constructed moldy wheat samples. The study offered an effective method toward screening wheat safety.
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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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van Mever M, Fabjanowicz M, Mamani‐Huanca M, López‐Gonzálvez Á, Płotka‐Wasylka J, Ramautar R. Profiling of polar ionogenic metabolites in Polish wines by capillary electrophoresis-mass spectrometry. Electrophoresis 2022; 43:1814-1821. [PMID: 35560354 PMCID: PMC9790660 DOI: 10.1002/elps.202200066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 12/30/2022]
Abstract
The composition of wine is determined by a complex interaction between environmental factors, genetic factors (i.e., grape varieties), and winemaking practices (including technology and storage). Metabolomics using NMR spectroscopy, GC-MS, and/or LC-MS has shown to be a useful approach for assessing the origin, authenticity, and quality of various wines. Nonetheless, the use of additional analytical techniques with complementary separation mechanisms may aid in the deeper understanding of wine's metabolic processes. In this study, we demonstrate that CE-MS is a very suitable approach for the efficient profiling of polar ionogenic metabolites in wines. Without using any sample preparation or derivatization, wine was analyzed using a 10-min CE-MS workflow with interday RSD values for 31 polar and charged metabolites below 3.8% and 23% for migration times and peak areas, respectively. The utility of this workflow for the global profiling of polar ionogenic metabolites in wine was evaluated by analyzing different cool-climate Polish wine samples.
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Affiliation(s)
- Marlien van Mever
- Leiden Academic Centre for Drug ResearchLeiden UniversityLeidenThe Netherlands
| | - Magdalena Fabjanowicz
- Department of Analytical ChemistryFaculty of ChemistryGdańsk University of TechnologyGdańskPoland
| | - Maricruz Mamani‐Huanca
- Centro de Metabolómica y Bioanálisis (CEMBIO)Facultad de FarmaciaUniversidad San Pablo‐CEUCEU UniversitiesBoadilla del MonteSpain
| | - Ángeles López‐Gonzálvez
- Centro de Metabolómica y Bioanálisis (CEMBIO)Facultad de FarmaciaUniversidad San Pablo‐CEUCEU UniversitiesBoadilla del MonteSpain
| | - Justyna Płotka‐Wasylka
- Department of Analytical ChemistryChemical Faculty and BioTechMed CenterGdańsk University of TechnologyGdańskPoland
| | - Rawi Ramautar
- Leiden Academic Centre for Drug ResearchLeiden UniversityLeidenThe Netherlands
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Niu L, Zhang Y, Yang C, Yang J, Ren W, Zhong X, Zhao Q, Xing G, Zhao Y, Yang X. Complete mitochondrial genome sequence and comparative analysis of the cultivated yellow nutsedge. THE PLANT GENOME 2022; 15:e20239. [PMID: 35730918 DOI: 10.1002/tpg2.20239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
As a monocotyledonous plant in family Cyperaceae, yellow nutsedge (Cyperus esculentus L.) is unique in accumulating a substantial amount of oil in underground tubers and provides a model system for studying oil accumulation in nonseed tissues. However, no data on the mitochondrial and nuclear genome sequences of this species are available, which greatly limits our understanding of its evolutionary characteristics and some essential biological mechanisms. In the present study, we report the first complete mitochondrial genome sequence of the cultivated yellow nutsedge. The analysis of the genome showed that the yellow nutsedge mitochondrial genome is 1,002,696 bp in size and encodes 62 genes consisting of 36 protein-coding genes (PCGs), 20 transfer RNA (tRNA) genes, and six ribosomal RNA (rRNA) genes. Compared with other angiosperms, yellow nutsedge mitochondrial genome contains much higher percentage of noncoding sequences (95.36%). Sixteen plastid-derived fragments were identified to be strongly associated with mitochondrial genes including one intact plastid-related gene (ndhH). Comparative analysis with seven other sequenced plant mitochondrial genomes revealed that two syntenic gene clusters, rps3-rpl16 and rps12-nad3, are highly conserved in all plant mitochondrial genomes, and the mitochondrial genome of yellow nutsedge is more similar to those of monocotyledons in the gene order. Phylogenetic analysis based on 13 shared protein-encoding genes in eight plant species showed that yellow nutsedge is evolutionarily more closely related to monocotyledonary species. Overall, the species-specific features of the cultivated yellow nutsedge mitochondrial genome provide additional information for the evolutionary and comparative genomic studies in the yellow nutsedge and other Cyperus species of the Cyperaceae family.
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Affiliation(s)
- Lu Niu
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Yuanyu Zhang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Chunming Yang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Jing Yang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Wei Ren
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Xiaofang Zhong
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Qianqian Zhao
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Guojie Xing
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
| | - Yongguo Zhao
- College of Biology and Food Engineering, Guangdong Univ. of Petrochemical Technology, Maoming, 525000, P.R. China
| | - Xiangdong Yang
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, P.R. China
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Badoni S, Parween S, Henry RJ, Sreenivasulu N. Systems seed biology to understand and manipulate rice grain quality and nutrition. Crit Rev Biotechnol 2022:1-18. [PMID: 35723584 DOI: 10.1080/07388551.2022.2058460] [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: 11/03/2022]
Abstract
Rice is one of the most essential crops since it meets the calorific needs of 3 billion people around the world. Rice seed development initiates upon fertilization, leading to the establishment of two distinct filial tissues, the endosperm and embryo, which accumulate distinct seed storage products, such as starch, storage proteins, and lipids. A range of systems biology tools deployed in dissecting the spatiotemporal dynamics of transcriptome data, methylation, and small RNA based regulation operative during seed development, influencing the accumulation of storage products was reviewed. Studies of other model systems are also considered due to the limited information on the rice transcriptome. This review highlights key genes identified through a holistic view of systems biology targeted to modify biochemical composition and influence rice grain quality and nutritional value with the target of improving rice as a functional food.
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Affiliation(s)
- Saurabh Badoni
- Consumer-Driven Grain Quality and Nutrition Unit, International Rice Research Institute (IRRI), Manila, Philippines
| | - Sabiha Parween
- Consumer-Driven Grain Quality and Nutrition Unit, International Rice Research Institute (IRRI), Manila, Philippines
| | - Robert J Henry
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Australia
| | - Nese Sreenivasulu
- Consumer-Driven Grain Quality and Nutrition Unit, International Rice Research Institute (IRRI), Manila, Philippines
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te Brinke E, Arrizabalaga-Larrañaga A, Blokland MH. Insights of ion mobility spectrometry and its application on food safety and authenticity: A review. Anal Chim Acta 2022; 1222:340039. [DOI: 10.1016/j.aca.2022.340039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/01/2022] [Accepted: 06/03/2022] [Indexed: 11/01/2022]
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Prandi B, Righetti L, Caligiani A, Tedeschi T, Cirlini M, Galaverna G, Sforza S. Assessing food authenticity through protein and metabolic markers. ADVANCES IN FOOD AND NUTRITION RESEARCH 2022; 102:233-274. [PMID: 36064294 DOI: 10.1016/bs.afnr.2022.04.010] [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: 06/15/2023]
Abstract
This chapter aims to address an issue of ancient origins, but more and more topical in a globalized world in which consumers and stakeholders are increasingly aware: the authenticity of food. Foods are systems that can also be very complex, and verifying the correspondence between what is declared and the actual characteristics of the product is often a challenging issue. The complexity of the question we want to answer (is the food authentic?) means that the answer is equally articulated and makes use of many different analytical techniques. This chapter will consider the chemical analyses of foods aimed at guaranteeing their authenticity and will focus on frontier methods that have been developed in recent years to address the need to respond to ever-increasing guarantees of authenticity. Targeted and non-targeted approaches will be considered for verifying the authenticity of foods, through the study of different classes of constituents (proteins, metabolites, lipids, flavors). The numerous approaches available (proteomics, metabolomics, lipidomics) and the related analytical techniques (LC-MS, GC-MS, NMR) are first described from a more general point of view, after which their specific application for the purposes of authentication of food is addressed.
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Affiliation(s)
- Barbara Prandi
- Department of Food and Drug, University of Parma, Parma, Italy.
| | - Laura Righetti
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Tullia Tedeschi
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Martina Cirlini
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Stefano Sforza
- Department of Food and Drug, University of Parma, Parma, Italy
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Banerjee R, Maheswarappa NB, Mohan K, Biswas S, Batabyal S. Proteomic Technologies and their Application for Ensuring Meat Quality,
Safety and Authenticity. CURR PROTEOMICS 2022. [DOI: 10.2174/1570164618666210114113306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
:
Proteomic tools were extensively used to understand the relationship between muscle
proteome and conversion of muscle to meat, post-mortem proteolysis, meat texture, and variation
in meat color. Developments in proteomic tools have also resulted in their application for addressing
the safety and authenticity issues including meat species identification, detection of animal byproducts,
non-meat ingredients and tissues in meat products, traceability, identification of genetically
modified ingredients, chemical residues and other harmful substances. Proteomic tools are also
being used in some of the potential areas like understanding the effect of animal transportation,
stunning, slaughter stress, halal authentication and issues related to animal welfare. Emerging advances
in proteomic and peptidomic technologies and their application in traceability, meat microbiology,
safety and authentication are taking a major stride as an interesting and complementary alternative
to DNA-based methods currently in use. Future research in meat science need to be
linked to emerging metabolomic, lipidomic and other omic technologies for ensuring integrated
meat quality and safety management. In this paper, a comprehensive overview of the use of proteomics
for the assessment of quality and safety in the meat value chain and their potential application
is discussed.
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Affiliation(s)
- Rituparna Banerjee
- ICAR-National Research Centre on Meat, Chengicherla, Hyderabad, 500092, India
| | | | - Kiran Mohan
- Department of Livestock Products
Technology, Veterinary College, KVAFSU, Bidar, Karnataka 585401, India
| | - Subhasish Biswas
- Department of Livestock Products
Technology, West Bengal University of Animal and Fishery Sciences, Kolkata700037, India
| | - Subhasish Batabyal
- Department of Veterinary
Biochemistry, West Bengal University of Animal and Fishery Sciences, Kolkata700037, India
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Squara S, Stilo F, Cialiè Rosso M, Liberto E, Spigolon N, Genova G, Castello G, Bicchi C, Cordero C. Corylus avellana L. Aroma Blueprint: Potent Odorants Signatures in the Volatilome of High Quality Hazelnuts. FRONTIERS IN PLANT SCIENCE 2022; 13:840028. [PMID: 35310662 PMCID: PMC8929135 DOI: 10.3389/fpls.2022.840028] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/24/2022] [Indexed: 05/24/2023]
Abstract
The volatilome of hazelnuts (Corylus avellana L.) encrypts information about phenotype expression as a function of cultivar/origin, post-harvest practices, and their impact on primary metabolome, storage conditions and shelf-life, spoilage, and quality deterioration. Moreover, within the bulk of detectable volatiles, just a few of them play a key role in defining distinctive aroma (i.e., aroma blueprint) and conferring characteristic hedonic profile. In particular, in raw hazelnuts, key-odorants as defined by sensomics are: 2,3-diethyl-5-methylpyrazine (musty and nutty); 2-acetyl-1,4,5,6-tetrahydropyridine (caramel); 2-acetyl-1-pyrroline (popcorn-like); 2-acetyl-3,4,5,6-tetrahydropyridine (roasted, caramel); 3-(methylthio)-propanal (cooked potato); 3-(methylthio)propionaldehyde (musty, earthy); 3,7-dimethylocta-1,6-dien-3-ol/linalool (citrus, floral); 3-methyl-4-heptanone (fruity, nutty); and 5-methyl-(E)-2-hepten-4-one (nutty, fruity). Dry-roasting on hazelnut kernels triggers the formation of additional potent odorants, likely contributing to the pleasant aroma of roasted nuts. Whiting the newly formed aromas, 2,3-pentanedione (buttery); 2-propionyl-1-pyrroline (popcorn-like); 3-methylbutanal; (malty); 4-hydroxy-2,5-dimethyl-3(2H)-furanone (caramel); dimethyl trisulfide (sulfurous, cabbage) are worthy to be mentioned. The review focuses on high-quality hazelnuts adopted as premium primary material by the confectionery industry. Information on primary and secondary/specialized metabolites distribution introduces more specialized sections focused on volatilome chemical dimensions and their correlation to cultivar/origin, post-harvest practices and storage, and spoilage phenomena. Sensory-driven studies, based on sensomic principles, provide insights on the aroma blueprint of raw and roasted hazelnuts while robust correlations between non-volatile precursors and key-aroma compounds pose solid foundations to the conceptualization of aroma potential.
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Affiliation(s)
- Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Federico Stilo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
- Laemmegroup - A Tentamus Company, Turin, Italy
| | - Marta Cialiè Rosso
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | | | | | | | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
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16
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Man G, Xu L, Wang Y, Liao X, Xu Z. Profiling Phenolic Composition in Pomegranate Peel From Nine Selected Cultivars Using UHPLC-QTOF-MS and UPLC-QQQ-MS. Front Nutr 2022; 8:807447. [PMID: 35141267 PMCID: PMC8819070 DOI: 10.3389/fnut.2021.807447] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/13/2021] [Indexed: 12/11/2022] Open
Abstract
Pomegranate is widely cultivated across China, and the phenolics in its peel are principal components associated with health benefits. Ultra-high performance liquid chromatography coupled to a quadrupole time-of-flight mass spectrometer (UHPLC-QTOF-MS) and ultra-performance liquid chromatography coupled to a triple quadrupole mass spectrometer (UPLC-QQQ-MS) were used in this study, aiming at profiling the total phenolic composition in pomegranate peel from nine selected cultivars in 7 production areas. Sixty-four phenolic compounds were identified or annotated, and 23 of them were firstly reported in pomegranate peel. Principal component analysis (PCA) plots show differences and similarities of phenolics among nine cultivars. Furthermore, 15 phenolic compounds were quantified with the standards, and punicalagin, ellagic acid, gallocatechin, punicalin, catechin, and corilagin were found to be dominant. Punicalagin weighed the highest content (28.03–104.14 mg/g). This study can provide a deeper and more detailed insight into the phenolic composition in pomegranate peel and facilitate the health-promoting utilization of phenolics.
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Affiliation(s)
- Guowei Man
- College of Food Science and Nutritional Engineering, China Agricultural University; Beijing Key Laboratory for Food Non-thermal Processing; Key Lab of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Lei Xu
- College of Food Science and Nutritional Engineering, China Agricultural University; Beijing Key Laboratory for Food Non-thermal Processing; Key Lab of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Quality Standard & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Safety and Quality, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yongtao Wang
- College of Food Science and Nutritional Engineering, China Agricultural University; Beijing Key Laboratory for Food Non-thermal Processing; Key Lab of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Xiaojun Liao
- College of Food Science and Nutritional Engineering, China Agricultural University; Beijing Key Laboratory for Food Non-thermal Processing; Key Lab of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
- *Correspondence: Xiaojun Liao
| | - Zhenzhen Xu
- Institute of Quality Standard & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Safety and Quality, Ministry of Agriculture and Rural Affairs, Beijing, China
- Zhenzhen Xu
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17
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Muguruma Y, Nunome M, Inoue K. A Review on the Foodomics Based on Liquid Chromatography Mass Spectrometry. Chem Pharm Bull (Tokyo) 2022; 70:12-18. [PMID: 34980727 DOI: 10.1248/cpb.c21-00765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Due to the globalization of food production and distribution, the food chain has become increasingly complex, making it more difficult to evaluate unexpected food changes. Therefore, establishing sensitive, robust, and cost-effective analytical platforms to efficiently extract and analyze the food-chemicals in complex food matrices is essential, however, challenging. LC/MS-based metabolomics is the key to obtain a broad overview of human metabolism and understand novel food science. Various metabolomics approaches (e.g., targeted and/or untargeted) and sample preparation techniques in food analysis have their own advantages and limitations. Selecting an analytical platform that matches the characteristics of the analytes is important for food analysis. This review highlighted the recent trends and applications of metabolomics based on "foodomics" by LC-MS and provides the perspectives and insights into the methodology and various sample preparation techniques in food analysis.
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Affiliation(s)
- Yoshio Muguruma
- Graduate School of Pharmaceutical Sciences, Ritsumeikan University
| | - Mari Nunome
- Graduate School of Pharmaceutical Sciences, Ritsumeikan University
| | - Koichi Inoue
- Graduate School of Pharmaceutical Sciences, Ritsumeikan University
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18
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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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19
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Foodomics in wheat flour reveals phenolic profile of different genotypes and technological qualities. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2021.112519] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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20
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MARTINEZ-CENICEROS M, FERNANDEZ-MONREAL K, DOMÍNGUEZ-ORDAZ LE, AYALA-SOTO JG, CHAVEZ-FLORES D, RUIZ-ANCHONDO T, SANDOVAL-SALAS F, NEDER-SUAREZ D, HERNANDEZ-OCHOA L. The effect of cooking with retort pouch system on lipid and phaseolin composition of Pinto Saltillo beans (Phaseolus vulgaris). FOOD SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1590/fst.94721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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21
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Poma G, Cuykx M, Da Silva KM, Iturrospe E, van Nuijs AL, van Huis A, Covaci A. Edible insects in the metabolomics era. First steps towards the implementation of entometabolomics in food systems. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2021.12.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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22
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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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23
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Analytical Characterization of the Widely Consumed Commercialized Fermented Beverages from Russia (Kefir and Ryazhenka) and South Africa (Amasi and Mahewu): Potential Functional Properties and Profiles of Volatile Organic Compounds. Foods 2021; 10:foods10123082. [PMID: 34945633 PMCID: PMC8701341 DOI: 10.3390/foods10123082] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/04/2022] Open
Abstract
In this study, four commercialized indigenous fermented beverages most highly consumed in Russia (kefir and ryazhenka) and South Africa (amasi and mahewu) were analyzed for their potential health-promoting properties and flavor-forming volatile organic compounds (VOC). The analysis of antioxidant capacity demonstrated superiority of dairy-based beverages (kefir, ryazhenka and amasi) over the corn-based mahewu; however, mahewu outperformed dairy-based beverages in terms of its potential antihypertensive effect (i.e., the ability to inhibit angiotensin I converting enzyme). The fatty acid (FA) content of kefir and ryazhenka were more diverse compared to that of amasi, but included a lesser amount of branched chain FA. In terms of calculated FA nutritional indices (e.g., indices of atherogenicity and thrombogenicity), kefir and ryazhenka performed similarly and significantly better than amasi. The agreement between beverages theoretical flavor profiles, which was obtained based on the flavors of individual VOC, and consumers’ flavor perception allow hypothesizing about the contribution of detected VOC to the overall products’ flavor. The obtained data expand current knowledge regarding traditional fermented beverages and their values in terms of national dietary recommendations. Additionally, reported VOC profiles will promote the inclusion of traditional fermented beverages into the rations based on the flavor pairing concept (which is controversial but widely applied).
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24
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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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25
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Zhang T, Chen C, Xie K, Wang J, Pan Z. Current State of Metabolomics Research in Meat Quality Analysis and Authentication. Foods 2021; 10:2388. [PMID: 34681437 PMCID: PMC8535928 DOI: 10.3390/foods10102388] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/23/2022] Open
Abstract
In the past decades, as an emerging omic, metabolomics has been widely used in meat science research, showing promise in meat quality analysis and meat authentication. This review first provides a brief overview of the concept, analytical techniques, and analysis workflow of metabolomics. Additionally, the metabolomics research in quality analysis and authentication of meat is comprehensively described. Finally, the limitations, challenges, and future trends of metabolomics application in meat quality analysis and meat authentication are critically discussed. We hope to provide valuable insights for further research in meat quality.
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Affiliation(s)
- Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Can Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Zhiming Pan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Yangzhou University, Yangzhou 225009, China
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26
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Full Workflows for the Analysis of Gas Chromatography-Ion Mobility Spectrometry in Foodomics: Application to the Analysis of Iberian Ham Aroma. SENSORS 2021; 21:s21186156. [PMID: 34577363 PMCID: PMC8469025 DOI: 10.3390/s21186156] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 11/24/2022]
Abstract
Gas chromatography—ion mobility spectrometry (GC-IMS) allows the fast, reliable, and inexpensive chemical composition analysis of volatile mixtures. This sensing technology has been successfully employed in food science to determine food origin, freshness and preventing alimentary fraud. However, GC-IMS data is highly dimensional, complex, and suffers from strong non-linearities, baseline problems, misalignments, peak overlaps, long peak tails, etc., all of which must be corrected to properly extract the relevant features from samples. In this work, a pipeline for signal pre-processing, followed by four different approaches for feature extraction in GC-IMS data, is presented. More precisely, these approaches consist of extracting data features from: (1) the total area of the reactant ion peak chromatogram (RIC); (2) the full RIC response; (3) the unfolded sample matrix; and (4) the ion peak volumes. The resulting pipelines for data processing were applied to a dataset consisting of two different quality class Iberian ham samples, based on their feeding regime. The ability to infer chemical information from samples was tested by comparing the classification results obtained from partial least-squares discriminant analysis (PLS-DA) and the samples’ variable importance for projection (VIP) scores. The choice of a feature extraction strategy is a trade-off between the amount of chemical information that is preserved, and the computational effort required to generate the data models.
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27
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Silva M, Ribeiro M, Viegas O, Martins ZE, Faria M, Casal S, Pinto E, Almeida A, Pinho O, Ferreira IM. Exploring two food composition databases to estimate nutritional components of whole meals. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.104070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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28
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Valletta M, Ragucci S, Landi N, Di Maro A, Pedone PV, Russo R, Chambery A. Mass spectrometry-based protein and peptide profiling for food frauds, traceability and authenticity assessment. Food Chem 2021; 365:130456. [PMID: 34243122 DOI: 10.1016/j.foodchem.2021.130456] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 01/03/2023]
Abstract
The ever-growing use of mass spectrometry (MS) methodologies in food authentication and traceability originates from their unrivalled specificity, accuracy and sensitivity. Such features are crucial for setting up analytical strategies for detecting food frauds and adulterations by monitoring selected components within food matrices. Among MS approaches, protein and peptide profiling has become increasingly consolidated. This review explores the current knowledge on recent MS techniques using protein and peptide biomarkers for assessing food traceability and authenticity, with a specific focus on their use for unmasking potential frauds and adulterations. We provide a survey of the current state-of-the-art instrumentation including the most reliable and sensitive acquisition modes highlighting advantages and limitations. Finally, we summarize the recent applications of MS to protein/peptide analyses in food matrices and examine their potential in ensuring the quality of agro-food products.
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Affiliation(s)
- Mariangela Valletta
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Sara Ragucci
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Nicola Landi
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Antimo Di Maro
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Paolo Vincenzo Pedone
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Rosita Russo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
| | - Angela Chambery
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
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Analytical Methods for Extraction and Identification of Primary and Secondary Metabolites of Apple (Malus domestica) Fruits: A Review. SEPARATIONS 2021. [DOI: 10.3390/separations8070091] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Apples represent a greater proportion of the worldwide fruit supply, due to their availability on the market and to the high number of existing cultivar varieties and apple-based products (fresh fruit, fruit juice, cider and crushed apples). Several studies on apple fruit metabolites are available, with most of them focusing on their healthy properties’ evaluation. In general, the metabolic profile of apple fruits strongly correlates with most of their peculiar characteristics, such as taste, flavor and color. At the same time, many bioactive molecules could be identified as markers of a specific apple variety. Therefore, a complete description of the analytical protocols commonly used for apple metabolites’ characterization and quantification could be useful for researchers involved in the identification of new phytochemical compounds from different apple varieties. This review describes the analytical methods published in the last ten years, in order to analyze the most important primary and secondary metabolites of Malus domestica fruits. In detail, this review gives an account of the spectrophotometric, chromatographic and mass spectrometric methods. A discussion on the quantitative and qualitative analytical shortcomings for the identification of sugars, fatty acids, polyphenols, organic acids, carotenoids and terpenes found in apple fruits is reported.
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Emwas AHM, Al-Rifai N, Szczepski K, Alsuhaymi S, Rayyan S, Almahasheer H, Jaremko M, Brennan L, Lachowicz JI. You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research. Foods 2021; 10:1249. [PMID: 34072780 PMCID: PMC8229064 DOI: 10.3390/foods10061249] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.
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Affiliation(s)
- Abdul-Hamid M. Emwas
- Imaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;
| | - Nahla Al-Rifai
- Environmental Technology Management (2005-2012), College for Women, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait;
| | - Kacper Szczepski
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Shuruq Alsuhaymi
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Saleh Rayyan
- Chemistry Department, Birzeit University, Birzeit 627, Palestine;
| | - Hanan Almahasheer
- Department of Biology, College of Science, Imam Abdulrahman Bin Faisal University (IAU), Dammam 31441-1982, Saudi Arabia;
| | - Mariusz Jaremko
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Lorraine Brennan
- Institute of Food and Health and Conway Institute, School of Agriculture & Food Science, Dublin 4, Ireland;
| | - Joanna Izabela Lachowicz
- Department of Medical Sciences and Public Health, University of Cagliari, Cittadella Universitaria, 09042 Monserrato, Italy
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31
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Li SN, Tang SH, Ren R, Gong JX, Chen YM. Metabolomic profile of milk fermented with Streptococcus thermophilus cocultured with Bifidobacterium animalis ssp. lactis, Lactiplantibacillus plantarum, or both during storage. J Dairy Sci 2021; 104:8493-8505. [PMID: 34024601 DOI: 10.3168/jds.2021-20270] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/05/2021] [Indexed: 01/27/2023]
Abstract
In this study, the microbial interactions among cocultures of Streptococcus thermophilus (St) with potential probiotics of Bifidobacterium animalis ssp. lactis (Ba) and Lactiplantibacillus plantarum (Lp) in fermented milk were investigated during a storage period of 21 d at 4°C, in terms of acidifying activity (pH and titratable acidity), viable counts, and metabolites. A nontargeted metabolomics approach based on ultra-high-performance liquid chromatography coupled with mass spectrometry was employed for mapping the global metabolite profiles of fermented milk. Probiotic strains cocultured with St accelerated milk acidification, and improved the microbial viability compared with the single culture of St. The St-Ba/Lp treatment manifested a higher bacteria viability and acidification ability in comparison with the St-Ba or the St-Lp treatment. Relative quantitation of 179 significant metabolites was identified, including nucleosides, AA, short peptides, organic acids, lipid derivatives, carbohydrates, carbonyl compounds, and compounds related to energy metabolism. The principal component analysis indicated that St treatment and coculture treatments displayed a complete distinction in metabolite profiles, and Lp had a larger effect than Ba on metabolic profiles of fermented milk produced by cofermentation with St during storage. The heat map in combination with hierarchical cluster analysis showed that the abundance of metabolites significantly varied with the starter cultures over the storage, and high abundance of metabolites was observed in either St or coculture samples. The St-Ba/Lp treatment showed relatively high abundance for the vast majority of metabolites. These findings suggest that the profile of the metabolites characterizing fermented milk samples may depend on the starter cultures, and incorporation of probiotics may considerably influence the metabolomic activities of fermented milks.
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Affiliation(s)
- S N Li
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, P. R. China
| | - S H Tang
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, P. R. China.
| | - R Ren
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, P. R. China
| | - J X Gong
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, P. R. China
| | - Y M Chen
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, P. R. China
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32
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Fayek NM, Mekky RH, Dias CN, Kropf M, Heiss AG, Wessjohann LA, Farag MA. UPLC-MS Metabolome-Based Seed Classification of 16 Vicia Species: A Prospect for Phyto-Equivalency and Chemotaxonomy of Different Accessions. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:5252-5266. [PMID: 33877831 DOI: 10.1021/acs.jafc.0c06054] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Seeds of domesticated Vicia (vetch) species (family Fabaceae-Faboideae) are produced and consumed worldwide for their nutritional value. Seed accessions belonging to 16 different species of Vicia-both domesticated and wild taxa-were subjected to a chemotaxonomic study using ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) analyzed by chemometrics. A total of 89 metabolites were observed in the examined Vicia accessions. Seventy-eight out of the 89 detected metabolites were annotated. Metabolites quantified belonged to several classes, viz., flavonoids, procyanidins, prodelphinidins, anthocyanins, stilbenes, dihydrochalcones, phenolic acids, coumarins, alkaloids, jasmonates, fatty acids, terpenoids, and cyanogenics, with flavonoids and fatty acids amounting to the major classes. Flavonoids, fatty acids, and anthocyanins showed up as potential chemotaxonomic markers in Vicia species discrimination. Fatty acids were more enriched in Vicia faba specimens, while the abundance of flavonoids was the highest in Vicia parviflora. Anthocyanins allowed for discrimination between Vicia hirsuta and Vicia sepium. To the best of our knowledge, this is the first report on employing UPLC-MS metabolomics to discern the diversity of metabolites at the intrageneric level among Vicia species.
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Affiliation(s)
- Nesrin M Fayek
- Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr El Aini Street, 11562 Cairo, Egypt
| | - Reham Hassan Mekky
- Department of Pharmacognosy, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo-Suez Road, 11829 Cairo, Egypt
| | - Clarice Noleto Dias
- Natural and Synthetic Bioactive Products Graduate Program, Federal University of Paraíba, João Pessoa, Paraíba 58051-900, Brazil
| | - Matthias Kropf
- Institute for Integrative Nature Conservation Research, University of Natural Resources and Life Sciences, Vienna (BOKU), Gregor Mendel-Straße 33, 1180 Vienna, Austria
| | - Andreas G Heiss
- Department for Bioarchaeology, Austrian Archaeological Institute (ÖAI), Austrian Academy of Sciences (ÖAW), Franz Klein-Gasse 1, 1190 Vienna, Austria
| | - Ludger A Wessjohann
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, D-06120 Halle - Saale, Germany
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr El Aini Street, 11562 Cairo, Egypt
- Department of Chemistry, School of Sciences & Engineering, The American University in Cairo, New Cairo 11835, Egypt
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33
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Tseng ZR, Wei CC, Wang SY, Liao HW. Discovery and quantification of Irgacure-907 in commercial cow milk by using untargeted liquid chromatography high-resolution mass spectrometry. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2020.103762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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34
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Vieira KCDO, Silva HRAD, Rocha IPM, Barboza E, Eller LKW. Foodborne pathogens in the omics era. Crit Rev Food Sci Nutr 2021; 62:6726-6741. [PMID: 33783282 DOI: 10.1080/10408398.2021.1905603] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Outbreaks and deaths related to Foodborne Diseases (FBD) occur constantly in the world, as a result of the consumption of contaminated foodstuffs with pathogens such as Listeria monocytogenes, Escherichia coli, Staphylococcus aureus, Salmonella spp, Clostridium spp. and Campylobacter spp. The purpose of this review is to discuss the main omic techniques applied in foodborne pathogen and to demonstrate their functionalities through the food chain and to guarantee the food safety. The main techniques presented are genomic, transcriptomic, secretomic, proteomic, and metabolomic, which together, in the field of food and nutrition, are known as "Foodomics." This review had highlighted the potential of omics to integrate variables that contribute to food safety and to enable us to understand their application on foodborne diseases. The appropriate use of these techniques had driven the definition of critical parameters to achieve successful results in the improvement of consumers health, costs and to obtain safe and high-quality products.
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Affiliation(s)
| | | | | | - Emmanuel Barboza
- Health Sciences Faculty, University of Western Sao Paulo, Presidente Prudente, Sao Paulo, Brazil
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35
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Zhang X, Ren X, Chingin K. Applications of direct analysis in real time mass spectrometry in food analysis: A review. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e9013. [PMID: 33277776 DOI: 10.1002/rcm.9013] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/16/2020] [Accepted: 11/22/2020] [Indexed: 06/12/2023]
Abstract
RATIONALE Direct analysis in real time (DART) combined with mass spectrometry (MS) detection has become one of the most broadly used analytical approaches for the direct molecular characterization of food samples with regard to their chemical quality, safety, origin, and authentication. The major advantages of DART-MS for food analysis include high chemical sensitivity and specificity, high speed and throughput of analysis, simplicity, and the obviation of tedious sample preparation and solvents. METHODS The recent applications of DART coupled with different mass analyzers, including quadrupole, ion trap, Orbitrap, and time of flight, are discussed. In addition, sample pretreatment methods that have been coupled with DART-MS are discussed. RESULTS We summarize the applications of DART-MS in food science and industry published in the period from 2005 to this date. The applications and analytical characteristics are systematically categorized across the three major types of foods: solid foods, liquid foods, and viscous foods. CONCLUSIONS DART-MS has proved its high suitability for the direct, rapid, and high-throughput molecular analysis of very different food samples with minimal or no sample preparation, thus offering a high-speed alternative to liquid chromatography/mass spectrometry (LC/MS) and gas chromatography/mass spectrometry (GC/MS) approaches that are traditionally employed in food analysis.
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Affiliation(s)
- Xiaoping Zhang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
| | - Xiang Ren
- State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun, China
| | - Konstantin Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
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36
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Data processing strategies for non-targeted analysis of foods using liquid chromatography/high-resolution mass spectrometry. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116188] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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37
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Rigano F, Arena P, Mangraviti D, Donnarumma D, Dugo P, Donato P, Mondello L, Micalizzi G. Identification of high-value generating molecules from the wastes of tuna fishery industry by liquid chromatography and gas chromatography hyphenated techniques with automated sample preparation. J Sep Sci 2021; 44:1571-1580. [PMID: 33617095 DOI: 10.1002/jssc.202100108] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 02/03/2023]
Abstract
The present work aims to a promising re-utilization of the massive waste derived from the tuna fishing industry, for which by-products can represent more than 50% of the original material. Due to the considerable content in polyunsaturated fatty acids and noble proteins, such wastes can be used as primary source of functional ingredients in the production of nutraceuticals. The composition of the lipid and protein tuna fractions was investigated by means of gas chromatography-mass spectrometry and high-performance liquid chromatography-tandem mass spectrometry methods (in wastes and edible parts), and a preliminary characterization of potential bioactive peptides was achieved. Automated sample preparation allowed speeding up the analytical workflow, while allowing for highly sensitive and selective lipid characterization. The ω3 fatty acid content was found higher in waste products compared to the muscle, in terms of fatty acids as well as complex lipids. As for peptides, extraction by isoelectric solubilization/precipitation was performed, followed by enzymatic digestion and high-performance liquid chromatography-tandem mass spectrometry analysis. Furthermore, the use of bioinformatics tools highlighted the presence of potential antimicrobial peptides in the samples investigated.
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Affiliation(s)
- Francesca Rigano
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Paola Arena
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Domenica Mangraviti
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Danilo Donnarumma
- Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Paola Dugo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.,Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.,BeSep s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Paola Donato
- Department of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy
| | - Luigi Mondello
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.,Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.,BeSep s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Giuseppe Micalizzi
- Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
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Santos MCB, Barouh N, Durand E, Baréa B, Robert M, Micard V, Lullien-Pellerin V, Villeneuve P, Cameron LC, Ryan EP, Ferreira MSL, Bourlieu-Lacanal C. Metabolomics of Pigmented Rice Coproducts Applying Conventional or Deep Eutectic Extraction Solvents Reveal a Potential Antioxidant Source for Human Nutrition. Metabolites 2021; 11:metabo11020110. [PMID: 33671946 PMCID: PMC7919034 DOI: 10.3390/metabo11020110] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/05/2021] [Accepted: 02/05/2021] [Indexed: 12/29/2022] Open
Abstract
Rice bran (RB) corresponds to the outer layers of whole grain rice and contains several phenolic compounds (PCs) that make it an interesting functional food ingredient. PC richness is enhanced in pigmented RB varieties and requires effective ways of extraction of these compounds. Therefore, we investigated conventional and deep eutectic solvents (DES) extraction methods to recover a wide array of PCs from red and black RB. The RB were extracted with ethanol/water (60:40, v/v) and two DES (choline chloride/1.2-propanediol/water, 1:1:1 and choline chloride/lactic acid, 1:10, mole ratios), based on Generally Recognized as Safe (GRAS) components. Besides the quantification of the most typical phenolic acids of cereals, nontargeted metabolomic approaches were applied to PCs profiling in the extracts. Globally, metabolomics revealed 89 PCs belonging to flavonoids (52%), phenolic acids (33%), other polyphenols (8%), lignans (6%) and stilbenes (1%) classes. All extracts, whatever the solvents, were highly concentrated in the main phenolic acids found in cereals (37–66 mg/100 g in black RB extracts vs. 6–20 mg/100 g in red RB extracts). However, the PC profile was highly dependent on the extraction solvent and specific PCs were extracted using the acidic DES. The PC-enriched DES extracts demonstrated interesting DPPH scavenging activity, which makes them candidates for novel antioxidant formulations.
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Affiliation(s)
- Millena Cristina Barros Santos
- LabBio, Laboratory of Bioactives, Food and Nutrition Graduate Program, PPGAN, Federal University of State of Rio de Janeiro, UNIRIO, Rio de Janeiro 22290-240, Brazil;
- IMasS-LBP, Center of Innovation in MS-Laboratory of Protein Biochemistry, UNIRIO, Rio de Janeiro 22290-240, Brazil;
| | - Nathalie Barouh
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | - Erwann Durand
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | - Bruno Baréa
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | - Mélina Robert
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | - Valérie Micard
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | | | - Pierre Villeneuve
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
| | - Luiz Claudio Cameron
- IMasS-LBP, Center of Innovation in MS-Laboratory of Protein Biochemistry, UNIRIO, Rio de Janeiro 22290-240, Brazil;
| | - Elizabeth P. Ryan
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA;
| | - Mariana Simões Larraz Ferreira
- LabBio, Laboratory of Bioactives, Food and Nutrition Graduate Program, PPGAN, Federal University of State of Rio de Janeiro, UNIRIO, Rio de Janeiro 22290-240, Brazil;
- IMasS-LBP, Center of Innovation in MS-Laboratory of Protein Biochemistry, UNIRIO, Rio de Janeiro 22290-240, Brazil;
- Correspondence: (M.S.L.F.); (C.B.-L.); Tel.: +55-21-25427269 (M.S.L.F.); +33-(0)-4-67-61-49-77 (C.B.-L.)
| | - Claire Bourlieu-Lacanal
- CIRAD, UMR IATE, 34398 Montpellier, France; (N.B.); (E.D.); (B.B.); (M.R.); (P.V.)
- IATE, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France; (V.M.); (V.L.-P.)
- Correspondence: (M.S.L.F.); (C.B.-L.); Tel.: +55-21-25427269 (M.S.L.F.); +33-(0)-4-67-61-49-77 (C.B.-L.)
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39
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Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116161] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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40
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Abstract
With change in global concern toward food quality over food quantity, consumer concern and choice of healthy food has become a matter of prime importance. It gave rise to concept of “personalized or precision nutrition”. The theory behind personalization of nutrition is supported by multiple factors including advances in food analytics, nutrition based diseases and public health programs, increasing use of information technology in nutrition science, concept of gene-diet interaction and growing consumer capacity or concern by better and healthy foods. The advances in “omics” tools and related analytical techniques have resulted into tremendous scope of their application in nutrition science. As a consequence, a better understanding of underlying interaction between diet and individual is expected with addressing of key challenges for successful implementation of this science. In this chapter, the above aspects are discussed to get an insight into driving factors for increasing concern in personalized nutrition.
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41
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Jia W, Du A, Fan Z, Zhang R, Li Y, Shi Q, Shi L, Chu X. Molecular mechanism of the role of Mare Nectaris in the Feng-Flavor Baijiu aging. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2020.110254] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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42
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Yue C, Yang P, Qin D, Cai H, Wang Z, Li C, Wu H. Identification of volatile components and analysis of aroma characteristics of Jiangxi Congou black tea. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2020. [DOI: 10.1080/10942912.2020.1844747] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Cuinan Yue
- Tea Research Institute, Jiangxi Sericulture and Tea Research Institute, Nanchang, China
- Tea Research Institute, Jiangxi Key Laboratory of Tea Quality and Safety Control, Nanchang, China
| | - Puxiang Yang
- Tea Research Institute, Jiangxi Sericulture and Tea Research Institute, Nanchang, China
- Tea Research Institute, Jiangxi Key Laboratory of Tea Quality and Safety Control, Nanchang, China
| | - Dandan Qin
- Tea Research Institute, Guangdong Academy of Agricultural Science, Guangzhou, China
| | - Hailan Cai
- Tea Research Institute, Jiangxi Sericulture and Tea Research Institute, Nanchang, China
- Tea Research Institute, Jiangxi Key Laboratory of Tea Quality and Safety Control, Nanchang, China
| | - Zhihui Wang
- Tea Research Institute, Jiangxi Sericulture and Tea Research Institute, Nanchang, China
- Tea Research Institute, Jiangxi Key Laboratory of Tea Quality and Safety Control, Nanchang, China
| | - Chen Li
- Tea Research Institute, Jiangxi Sericulture and Tea Research Institute, Nanchang, China
- Tea Research Institute, Jiangxi Key Laboratory of Tea Quality and Safety Control, Nanchang, China
| | - Hualing Wu
- Tea Research Institute, Guangdong Academy of Agricultural Science, Guangzhou, China
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43
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Kuuliala L, Pérez-Fernández R, Tang M, Vanderroost M, De Baets B, Devlieghere F. Probabilistic topic modelling in food spoilage analysis: A case study with Atlantic salmon (Salmo salar). Int J Food Microbiol 2020; 337:108955. [PMID: 33186831 DOI: 10.1016/j.ijfoodmicro.2020.108955] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/10/2020] [Accepted: 10/25/2020] [Indexed: 10/23/2022]
Abstract
Probabilistic topic modelling is frequently used in machine learning and statistical analysis for extracting latent information from complex datasets. Despite being closely associated with natural language processing and text mining, these methods possess several properties that make them particularly attractive in metabolomics applications where the applicability of traditional multivariate statistics tends to be limited. The aim of the study was thus to introduce probabilistic topic modelling - more specifically, Latent Dirichlet Allocation (LDA) - in a novel experimental context: volatilome-based (sea) food spoilage characterization. This was realized as a case study, focusing on modelling the spoilage of Atlantic salmon (Salmo salar) at 4 °C under different gaseous atmospheres (% CO2/O2/N2): 0/0/100 (A), air (B), 60/0/40 (C) or 60/40/0 (D). First, an exploratory analysis was performed to optimize the model tunings and to consequently model salmon spoilage under 100% N2 (A). Based on the obtained results, a systematic spoilage characterization protocol was established and used for identifying potential volatile spoilage indicators under all tested storage conditions. In conclusion, LDA could be used for extracting sets of underlying VOC profiles and identifying those signifying salmon spoilage, giving rise to an extensive discussion regarding the key points associated with model tuning and/or spoilage analysis. The identified compounds were well in accordance with a previously established approach based on partial least squares regression analysis (PLS). Overall, the outcomes of the study not only reflect the promising potential of LDA in spoilage characterization, but also provide several new insights into the development of data-driven methods for food quality analysis.
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Affiliation(s)
- L Kuuliala
- Research Unit Food Microbiology and Food Preservation (FMFP), Department of Food Technology, Safety and Health, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium; Research Unit Knowledge-based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium.
| | - R Pérez-Fernández
- Research Unit Knowledge-based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium
| | - M Tang
- Research Unit Knowledge-based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium
| | - M Vanderroost
- Research Unit Food Microbiology and Food Preservation (FMFP), Department of Food Technology, Safety and Health, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium
| | - B De Baets
- Research Unit Knowledge-based Systems (KERMIT), Department of Data Analysis and Mathematical Modelling, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium
| | - F Devlieghere
- Research Unit Food Microbiology and Food Preservation (FMFP), Department of Food Technology, Safety and Health, Part of Food2Know, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium
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Kafantaris I, Amoutzias GD, Mossialos D. Foodomics in bee product research: a systematic literature review. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03634-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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45
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Stryiński R, Łopieńska-Biernat E, Carrera M. Proteomic Insights into the Biology of the Most Important Foodborne Parasites in Europe. Foods 2020; 9:E1403. [PMID: 33022912 PMCID: PMC7601233 DOI: 10.3390/foods9101403] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/24/2020] [Accepted: 09/27/2020] [Indexed: 02/07/2023] Open
Abstract
Foodborne parasitoses compared with bacterial and viral-caused diseases seem to be neglected, and their unrecognition is a serious issue. Parasitic diseases transmitted by food are currently becoming more common. Constantly changing eating habits, new culinary trends, and easier access to food make foodborne parasites' transmission effortless, and the increase in the diagnosis of foodborne parasitic diseases in noted worldwide. This work presents the applications of numerous proteomic methods into the studies on foodborne parasites and their possible use in targeted diagnostics. Potential directions for the future are also provided.
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Affiliation(s)
- Robert Stryiński
- Department of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Elżbieta Łopieńska-Biernat
- Department of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Mónica Carrera
- Department of Food Technology, Marine Research Institute (IIM), Spanish National Research Council (CSIC), 36-208 Vigo, Spain
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46
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Tian L, Zheng J, Goodyer CG, Bayen S. Non-targeted screening of plastic-related chemicals in food collected in Montreal, Canada. Food Chem 2020; 326:126942. [DOI: 10.1016/j.foodchem.2020.126942] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 04/23/2020] [Accepted: 04/28/2020] [Indexed: 02/08/2023]
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47
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Wang C, Bi H, Xie J. Visualization of the Distance among Fishes by MALDI MS for Rapid Determination of the Taxonomic Status of Fish Fillets. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:8438-8446. [PMID: 32648743 DOI: 10.1021/acs.jafc.0c01291] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Taxonomic research plays an important role in the classification of organisms. Molecular techniques provide useful tools for the determination of the taxonomic status of species, although often time-consuming and not cost-efficient. Herein, we developed a strategy to analyze fish samples in a rapid mode. Experimentally, fish fillet samples were pretreated with trifluoroacetic acid aqueous solution, and the obtained protein fraction was analyzed by matrix-assisted laser desorption/ionization mass spectrometry. Principal component analysis of mass spectrometric datasets was used to visualize the taxonomical distance among the analyzed 13 seafood species. The results were illustrated using treemaps where the fish relationship distance can be visualized. The obtained mass spectral results can be taken as reference and successfully used for the identification of unknown fish fillet samples. It is promising to utilize the present strategy to provide clues for the taxonomy study among ambiguous species and identify fish species.
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Affiliation(s)
- Chengyu Wang
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
| | - Hongyan Bi
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
| | - Jing Xie
- College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China
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48
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Cao G, Li K, Guo J, Lu M, Hong Y, Cai Z. Mass Spectrometry for Analysis of Changes during Food Storage and Processing. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:6956-6966. [PMID: 32516537 DOI: 10.1021/acs.jafc.0c02587] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Many physicochemical changes occur during food storage and processing, such as rancidity, hydrolysis, oxidation, and aging, which may alter the taste, flavor, and texture of food products and pose risks to public health. Analysis of these changes has become of great interest to many researchers. Mass spectrometry is a promising technique for the study of food and nutrition domains as a result of its excellent ability in molecular profiling, food authentication, and marker detection. In this review, we summarized recent advances in mass spectrometry techniques and their applications in food storage and processing. Furthermore, current technical challenges associated with these methodologies were discussed.
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Affiliation(s)
- Guodong Cao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
| | - Kun Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Jinggong Guo
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Minghua Lu
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Yanjun Hong
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- HKBU Institute of Research and Continuing Education, Shenzhen, Guangdong 518057, People's Republic of China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
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49
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Bakir S, Capanoglu E, Hall RD, de Vos RCH. Variation in secondary metabolites in a unique set of tomato accessions collected in Turkey. Food Chem 2020; 317:126406. [PMID: 32097823 DOI: 10.1016/j.foodchem.2020.126406] [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: 11/24/2019] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 01/28/2023]
Abstract
In this study, 50 tomato landraces grown in Turkey were investigated in terms of their secondary metabolite profiles. Each accession was planted in 2016 and 2017 in 3 replicates in an open field. In this study, color, pH and brix of the fruit samples were measured and an unbiased LCMS-based metabolomics approach was applied. Based on Principal Components Analysis (PCA) and Hierarchical Cluster Analysis (HCA) of the relative abundance levels of >250 metabolites, it could be concluded that fruit size was the most influential to the biochemical composition, rather than the geographical origin of accessions. Results indicated substantial biodiversity in various metabolites generally regarded as key to fruit quality aspects, including sugars; phenolic compounds like phenylpropanoids and flavonoids; alkaloids and glycosides of flavour-related volatile compounds. The phytochemical data provides insight into which Turkish accessions might be most promising as starting materials for the tomato processing and breeding industries.
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Affiliation(s)
- Sena Bakir
- Istanbul Technical University, Faculty of Chemical and Metallurgical Engineering, Food Engineering Department, Maslak, Istanbul, Turkey; Recep Tayyip Erdogan University, Faculty of Engineering, Merkez, Rize, Turkey
| | - Esra Capanoglu
- Istanbul Technical University, Faculty of Chemical and Metallurgical Engineering, Food Engineering Department, Maslak, Istanbul, Turkey.
| | - Robert D Hall
- Bioscience, Wageningen University and Research Centre (Wageningen-UR), PO Box 16, 6700 AA Wageningen, The Netherlands; Laboratory of Plant Physiology, Wageningen University & Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
| | - Ric C H de Vos
- Bioscience, Wageningen University and Research Centre (Wageningen-UR), PO Box 16, 6700 AA Wageningen, The Netherlands.
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50
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González-Domínguez R, González-Domínguez Á, Sayago A, Fernández-Recamales Á. Recommendations and Best Practices for Standardizing the Pre-Analytical Processing of Blood and Urine Samples in Metabolomics. Metabolites 2020; 10:metabo10060229. [PMID: 32503183 PMCID: PMC7344701 DOI: 10.3390/metabo10060229] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 05/29/2020] [Accepted: 05/31/2020] [Indexed: 12/11/2022] Open
Abstract
Metabolomics can be significantly influenced by a range of pre-analytical factors, such as sample collection, pre-processing, aliquoting, transport, storage and thawing. This therefore shows the crucial need for standardizing the pre-analytical phase with the aim of minimizing the inter-sample variability driven by these technical issues, as well as for maintaining the metabolic integrity of biological samples to ensure that metabolomic profiles are a direct expression of the in vivo biochemical status. This review article provides an updated literature revision of the most important factors related to sample handling and pre-processing that may affect metabolomics results, particularly focusing on the most commonly investigated biofluids in metabolomics, namely blood plasma/serum and urine. Finally, we also provide some general recommendations and best practices aimed to standardize and accurately report all these pre-analytical aspects in metabolomics research.
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Affiliation(s)
- Raúl González-Domínguez
- AgriFood Laboratory, Faculty of Experimental Sciences, University of Huelva, 21007 Huelva, Spain; (A.S.); (Á.F.-R.)
- International Campus of Excellence CeiA3, University of Huelva, 21007 Huelva, Spain
- Correspondence: ; Tel.: +34-959219975
| | - Álvaro González-Domínguez
- Department of Pediatrics, Hospital Universitario Puerta del Mar, 11009 Cádiz, Spain;
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cádiz (INiBICA), 11009 Cádiz, Spain
| | - Ana Sayago
- AgriFood Laboratory, Faculty of Experimental Sciences, University of Huelva, 21007 Huelva, Spain; (A.S.); (Á.F.-R.)
- International Campus of Excellence CeiA3, University of Huelva, 21007 Huelva, Spain
| | - Ángeles Fernández-Recamales
- AgriFood Laboratory, Faculty of Experimental Sciences, University of Huelva, 21007 Huelva, Spain; (A.S.); (Á.F.-R.)
- International Campus of Excellence CeiA3, University of Huelva, 21007 Huelva, Spain
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