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Kim HW, Kim DH, Ryu B, Chung YJ, Lee K, Kim YC, Lee JW, Kim DH, Jang W, Cho W, Shim H, Sung SH, Yang TJ, Kang KB. Mass spectrometry-based ginsenoside profiling: Recent applications, limitations, and perspectives. J Ginseng Res 2024; 48:149-162. [PMID: 38465223 PMCID: PMC10920005 DOI: 10.1016/j.jgr.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/09/2024] [Accepted: 01/14/2024] [Indexed: 03/12/2024] Open
Abstract
Ginseng, the roots of Panax species, is an important medicinal herb used as a tonic. As ginsenosides are key bioactive components of ginseng, holistic chemical profiling of them has provided many insights into understanding ginseng. Mass spectrometry has been a major methodology for profiling, which has been applied to realize numerous goals in ginseng research, such as the discrimination of different species, geographical origins, and ages, and the monitoring of processing and biotransformation. This review summarizes the various applications of ginsenoside profiling in ginseng research over the last three decades that have contributed to expanding our understanding of ginseng. However, we also note that most of the studies overlooked a crucial factor that influences the levels of ginsenosides: genetic variation. To highlight the effects of genetic variation on the chemical contents, we present our results of untargeted and targeted ginsenoside profiling of different genotypes cultivated under identical conditions, in addition to data regarding genome-level genetic diversity. Additionally, we analyze the other limitations of previous studies, such as imperfect variable control, deficient metadata, and lack of additional effort to validate causation. We conclude that the values of ginsenoside profiling studies can be enhanced by overcoming such limitations, as well as by integrating with other -omics techniques.
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Affiliation(s)
- Hyun Woo Kim
- College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University, Seoul, Republic of Korea
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Dae Hyun Kim
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Byeol Ryu
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - You Jin Chung
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Kyungha Lee
- College of Pharmacy and Drug Information Research Institute, Sookmyung Women's University, Seoul, Republic of Korea
| | - Young Chang Kim
- Future Agriculture Strategy Team, Research Policy Bureau, Rural Development Administration, Jeonju, Republic of Korea
| | - Jung Woo Lee
- Ginseng Division, Department of Herbal Crop Research, National Institute of Horticultural & Herbal Science, Rural Development Administration, Eumseong, Republic of Korea
| | - Dong Hwi Kim
- Ginseng Division, Department of Herbal Crop Research, National Institute of Horticultural & Herbal Science, Rural Development Administration, Eumseong, Republic of Korea
| | - Woojong Jang
- Herbal Medicine Resources Research Center, Korea Institute of Oriental Medicine, Naju, Republic of Korea
| | - Woohyeon Cho
- Department of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Hyeonah Shim
- Department of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Sang Hyun Sung
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Tae-Jin Yang
- Department of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Kyo Bin Kang
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
- College of Pharmacy and Drug Information Research Institute, Sookmyung Women's University, Seoul, Republic of Korea
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2
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Núñez N, Saurina J, Núñez O. Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS) Fingerprinting and Chemometrics for Coffee Classification and Authentication. Molecules 2023; 29:232. [PMID: 38202813 PMCID: PMC10780290 DOI: 10.3390/molecules29010232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 12/21/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Nowadays, the quality of natural products is an issue of great interest in our society due to the increase in adulteration cases in recent decades. Coffee, one of the most popular beverages worldwide, is a food product that is easily adulterated. To prevent fraudulent practices, it is necessary to develop feasible methodologies to authenticate and guarantee not only the coffee's origin but also its variety, as well as its roasting degree. In the present study, a C18 reversed-phase liquid chromatography (LC) technique coupled to high-resolution mass spectrometry (HRMS) was applied to address the characterization and classification of Arabica and Robusta coffee samples from different production regions using chemometrics. The proposed non-targeted LC-HRMS method using electrospray ionization in negative mode was applied to the analysis of 306 coffee samples belonging to different groups depending on the variety (Arabica and Robusta), the growing region (e.g., Ethiopia, Colombia, Nicaragua, Indonesia, India, Uganda, Brazil, Cambodia and Vietnam), and the roasting degree. Analytes were recovered with hot water as the extracting solvent (coffee brewing). The data obtained were considered the source of potential descriptors to be exploited for the characterization and classification of the samples using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). In addition, different adulteration cases, involving nearby production regions and different varieties, were evaluated by pairs (e.g., Vietnam Arabica-Vietnam Robusta, Vietnam Arabica-Cambodia and Vietnam Robusta-Cambodia). The coffee adulteration studies carried out with partial least squares (PLS) regression demonstrated the good capability of the proposed methodology to quantify adulterant levels down to 15%, accomplishing calibration and prediction errors below 2.7% and 11.6%, respectively.
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Affiliation(s)
- Nerea Núñez
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain; (J.S.); (O.N.)
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain
| | - Javier Saurina
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain; (J.S.); (O.N.)
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain
| | - Oscar Núñez
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain; (J.S.); (O.N.)
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain
- Serra Húnter Fellow, Departament de Recerca i Universitats, Generalitat de Catalunya, Via Laietana 2, E08003 Barcelona, Spain
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Girelli CR, Angilè F. Editorial for the Special Issue "NMR- and MS-Based Metabolomics Approaches for Local and Traditional Foods' Characterization". Foods 2023; 12:3776. [PMID: 37893669 PMCID: PMC10606345 DOI: 10.3390/foods12203776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Metabolomics is a powerful tool in food sciences, widely used in food analysis for authenticity and traceability assessment and regulatory compliance, processing, quality, and safety [...].
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Affiliation(s)
- Chiara Roberta Girelli
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov.le Lecce-Monteroni, 73100 Lecce, Italy
| | - Federica Angilè
- Institute of Sciences of Food Production, National Research Council (CNR-ISPA), Via Prov.le Lecce Monteroni, 73100 Lecce, Italy;
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Wang RQ, Geng Y, Song JN, Yu HD, Bao K, Wang YR, Croué JP, Miyatake H, Ito Y, Liu YR, Chen YM. Biogenic Solution Map Based on the Definition of the Metabolic Correlation Distance between 4-Dimensional Fingerprints. Anal Chem 2023; 95:7503-7511. [PMID: 37130068 DOI: 10.1021/acs.analchem.2c05480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Accurate discrimination and classification of unknown species are the basis to predict its characteristics or applications to make correct decisions. However, for biogenic solutions that are ubiquitous in nature and our daily lives, direct determination of their similarities and disparities by their molecular compositions remains a scientific challenge. Here, we explore a standard and visualizable ontology, termed "biogenic solution map", that organizes multifarious classes of biogenic solutions into a map of hierarchical structures. To build the map, a novel 4-dimensional (4D) fingerprinting method based on data-independent acquisition data sets of untargeted metabolomics is developed, enabling accurate characterization of complex biogenic solutions. A generic parameter of metabolic correlation distance, calculated based on averaged similarities between 4D fingerprints of sample groups, is able to define "species", "genus", and "family" of each solution in the map. With the help of the "biogenic solution map", species of unknown biogenic solutions can be explicitly defined. Simultaneously, intrinsic correlations and subtle variations among biogenic solutions in the map are accurately illustrated. Moreover, it is worth mentioning that samples of the same analyte but prepared by alternative protocols may have significantly different metabolic compositions and could be classified into different "genera".
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Affiliation(s)
- Ren-Qi Wang
- School of Food and Biological Engineering, College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, People's Republic of China
| | - Ye Geng
- School of Food and Biological Engineering, College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, People's Republic of China
| | - Juan-Na Song
- School of Food and Biological Engineering, College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, People's Republic of China
| | - Huai-Dong Yu
- Gezhu Bio Co., Ltd, Beijing 100037, People's Republic of China
| | - Kai Bao
- SINTEF Digital, Oslo N-0314, Norway
| | - Yu-Ru Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, People's Republic of China
| | - Jean-Philippe Croué
- Institut de Chimie des Milieux et des Matériaux IC2MP UMR 7285 CNRS, Université de Poitiers, Poitiers 86000, France
| | - Hideyuki Miyatake
- Nano Medical Engineering Laboratory, RIKEN Cluster for Pioneering Research, Emergent Bioengineering Materials Research Team, RIKEN Center for Emergent Matter Science, 2-1 Hirosawa, Wako, Saitama 3510198, Japan
| | - Yoshihiro Ito
- Nano Medical Engineering Laboratory, RIKEN Cluster for Pioneering Research, Emergent Bioengineering Materials Research Team, RIKEN Center for Emergent Matter Science, 2-1 Hirosawa, Wako, Saitama 3510198, Japan
| | - Yan-Ru Liu
- Shaanxi Collaborative Innovation Center Medicinal Resource Industrialization, Shaanxi University of Chinese Medicine, Xianyang 712083, People's Republic of China
| | - Yong-Mei Chen
- School of Food and Biological Engineering, College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an 710021, People's Republic of China
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Rivera-Pérez A, García-Pérez P, Romero-González R, Garrido Frenich A, Lucini L. UHPLC-QTOF-HRMS metabolomics insight on the origin and processing authentication of thyme by comprehensive fingerprinting and chemometrics. Food Chem 2023; 407:135123. [PMID: 36493482 DOI: 10.1016/j.foodchem.2022.135123] [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: 08/31/2022] [Revised: 11/03/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
The metabolic composition of thyme, one of the most used aromatic herbs, is influenced by environmental and post-harvest processing factors, presenting the possibility of exploiting thyme fingerprint to assess its authenticity. In this study, a comprehensive UHPLC-QTOF-HRMS fingerprinting approach was applied with a dual objective: (1) tracing thyme from three regions of production (Spain, Morocco, and Poland) and (2) evaluating the metabolic differences in response to processing, considering sterilized thyme samples. Multivariate statistics reveal 37 and 33 key origin and processing differentiation compounds, respectively. The findings highlighted the remarkable "terroir" influence on thyme fingerprint, noticing flavonoids, amino acids, and peptides among the most discriminant chemical classes. Thyme sterilization led to an overall metabolite enrichment, most likely due to the facilitated compound accessibility as a result of processing. The findings provide a comprehensive metabolomics insight into the origin and processing effect on thyme composition for product traceability and quality assessment.
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Affiliation(s)
- Araceli Rivera-Pérez
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, E-04120 Almeria, Spain; Department for Sustainable Food Process - DiSTAS, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy
| | - Pascual García-Pérez
- Department for Sustainable Food Process - DiSTAS, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy; Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, Univesidade de Vigo, Ourense Campus, 32004 Ourense, Spain
| | - Roberto Romero-González
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, E-04120 Almeria, Spain
| | - Antonia Garrido Frenich
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, E-04120 Almeria, Spain
| | - Luigi Lucini
- Department for Sustainable Food Process - DiSTAS, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
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Manfrin Artêncio M, Cassago ALL, da Silva RK, Carvalho FM, Da Costa FB, Rocha MTL, de Moura Engracia Giraldi J. The impact of coffee origin information on sensory and hedonic judgment of fine Amazonian robusta coffee. J SENS STUD 2023. [DOI: 10.1111/joss.12827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Cardin M, Cardazzo B, Mounier J, Novelli E, Coton M, Coton E. Authenticity and Typicity of Traditional Cheeses: A Review on Geographical Origin Authentication Methods. Foods 2022; 11:3379. [PMID: 36359992 PMCID: PMC9653732 DOI: 10.3390/foods11213379] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/20/2022] [Accepted: 10/22/2022] [Indexed: 08/13/2023] Open
Abstract
Food fraud, corresponding to any intentional action to deceive purchasers and gain an undue economical advantage, is estimated to result in a 10 to 65 billion US dollars/year economical cost worldwide. Dairy products, such as cheese, in particular cheeses with protected land- and tradition-related labels, have been listed as among the most impacted as consumers are ready to pay a premium price for traditional and typical products. In this context, efficient food authentication methods are needed to counteract current and emerging frauds. This review reports the available authentication methods, either chemical, physical, or DNA-based methods, currently used for origin authentication, highlighting their principle, reported application to cheese geographical origin authentication, performance, and respective advantages and limits. Isotope and elemental fingerprinting showed consistent accuracy in origin authentication. Other chemical and physical methods, such as near-infrared spectroscopy and nuclear magnetic resonance, require more studies and larger sampling to assess their discriminative power. Emerging DNA-based methods, such as metabarcoding, showed good potential for origin authentication. However, metagenomics, providing a more in-depth view of the cheese microbiota (up to the strain level), but also the combination of methods relying on different targets, can be of interest for this field.
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Affiliation(s)
- Marco Cardin
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale Università 16, 35020 Legnaro, PD, Italy
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France
| | - Barbara Cardazzo
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale Università 16, 35020 Legnaro, PD, Italy
| | - Jérôme Mounier
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France
| | - Enrico Novelli
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale Università 16, 35020 Legnaro, PD, Italy
| | - Monika Coton
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France
| | - Emmanuel Coton
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France
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Consumer Perception and Understanding of European Union Quality Schemes: A Systematic Literature Review. SUSTAINABILITY 2022. [DOI: 10.3390/su14031667] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Food, agriculture, and labeling, affecting the environment are well connected concepts, the balance between them being determined not only by pedological and climatic factors or the development level of agricultural techniques, but also by national governments and international organizations’ food processing, trade policies and regulations. In this context, the European Union (EU) encourages the use of different food quality schemes: “Protected Designation of Origin” (PDO), “Protected Geographical Indication” (PGI), and “Traditional Specialty Guaranteed” (TSG) to protect producers of special-quality foods and assist consumers in their purchasing decisions. This review examines existing studies on the impact of these labels on customers behavior. A total of 32 studies were found and systematized. The papers were selected if they featured unique empirical research on consumer perceptions of any of PDO, PGI and TSG labels. Using the search strategy, a literature analysis was performed based on papers extracted from Web of Science, Springer Link, Emerald Insights, and Science Direct. Although these papers highlight quite diversified findings, the internationally used labels play an increasing role in contemporary society and pandemic conditions caused by COVID-19, thus making the quality schemes relevant in consumer decision-making processes.
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Artêncio MM, Giraldi JDME, de Oliveira JHC. A cup of black coffee with GI, please! Evidence of geographical indication influence on a coffee tasting experiment. Physiol Behav 2021; 245:113671. [PMID: 34896415 DOI: 10.1016/j.physbeh.2021.113671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/17/2021] [Accepted: 12/07/2021] [Indexed: 12/01/2022]
Abstract
Geographical Indication (GI) certifications enable producers to set production standards and create competitive advantage based on product's origin. In a coffee tasting experiment, brain responses to origin information of 40 participants, grouped equally by gender and involvement level, were collected by electroencephalography to verify: the impact of the GI cue in four brain waves (alpha, beta, delta and theta) and two brain lobes (frontal and temporal); preference; gender and involvement moderations. Results show that women presented power differences in both hemispheres, more channels/waves, which indicates greater sensitivity to the origin cue. Men presented power differences in fewer channels/waves. It is observed that involvement has a tenuous moderation effect when compared to gender. As for preference, the analysis of delta and theta waves indicated that men preferred coffee with GI; while women preferred coffee without GI, even though most of them indicated the opposite when verbally asked at the end of the tasting section.
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Affiliation(s)
- Mateus Manfrin Artêncio
- University of São Paulo, School of Economics, Business Administration and Accounting of Ribeirão Preto, Av. Bandeirantes, 3900, 14040-905, Ribeirão Preto, São Paulo, Brazil.
| | - Janaina de Moura Engracia Giraldi
- University of São Paulo, School of Economics, Business Administration and Accounting of Ribeirão Preto, Av. Bandeirantes, 3900, 14040-905, Ribeirão Preto, São Paulo, Brazil
| | - Jorge Henrique Caldeira de Oliveira
- University of São Paulo, School of Economics, Business Administration and Accounting of Ribeirão Preto, Av. Bandeirantes, 3900, 14040-905, Ribeirão Preto, São Paulo, Brazil
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