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Zong W, Zhao S, Li Y, Yang X, Qie M, Zhang P, Zhao Y. Trace the origin of yak meat in Xizang based on stable isotope combined with multivariate statistics. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171949. [PMID: 38537817 DOI: 10.1016/j.scitotenv.2024.171949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/05/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
In this study, the feasibility of tracing the origin of yak meat in Xizang Autonomous Region based on stable isotope combined with multivariable statistics was researched. The δ13C, δ15N, δ2H and δ18O in yak meat were determined by stable isotope ratio mass spectrometry, and the data were analyzed by analysis of variance, fisher discriminant analysis (FDA), back propagation (BP) neural network and orthogonal partial least squares discrimination analysis (OPLS-DA). The results showed that the δ13C, δ15N, δ2H and δ18O had significant differences among different origins (P < 0.05). The overall original correct discrimination rate of fisher discriminant analysis was 89.7 %, and the correct discrimination rate of cross validation was 88.2 %. The correct classification rate of BP neural network based on training set was 93.38 %, and the correct classification rate of BP neural network based on test set was 89.83 %. The OPLS-DA model interpretation rate parameter R2Y was 0.67, the model prediction rate parameter Q2 was 0.409, which could distinguish yak meat from seven different producing areas in Xizang Autonomous Region. The results showed that the origin of yak meat in Xizang Autonomous Region can be traced based on stable isotope combined with multivariate statistics.
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Affiliation(s)
- Wanli Zong
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Weihai Institute for Food and Drug Control, Weihai Key Laboratory of Food and Drug Quality Evaluation and Technical Research, Weihai 264210, China
| | - Shanshan Zhao
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yalan Li
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaoting Yang
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Mengjie Qie
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ping Zhang
- Menzies Health Institute, Griffith University, Australia
| | - Yan Zhao
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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2
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Li X, Shi L, Song P, Cai W, Luo X, Zhao B. Certification of New Selenium-Enriched Yeast and Supplement Reference Materials for Selenomethionine Using Two Independent Measurement Strategies. Molecules 2024; 29:235. [PMID: 38202818 PMCID: PMC10780638 DOI: 10.3390/molecules29010235] [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: 12/05/2023] [Revised: 12/26/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
Selenium-enriched yeast possesses the unique ability of transforming chemical selenium, such as sodium selenite, into a biologically active form, which mitigates its toxic effects on the human body. The transformation product of this process, selenomethionine, can be safely and effectively absorbed and utilized by the human body; hence, it has been spiked into a selenium-enriched supplement. This study employs two distinct measurement strategies to determine the selenomethionine content in two candidate reference materials, a selenium-enriched yeast powder and supplement, using both organic and inorganic mass spectrometry. The concentrations of selenomethionine in the selenium-enriched yeast were determined using HPLC-ICP-MS and HPLC- ESI-MS/MS, with mass fractions measured at 718 mg SeMet kg-1 and 715 mg SeMet kg-1, respectively. Notably, both methods yielded consistent results for the selenium supplement, with a selenomethionine mass fraction of 59 mg SeMet kg-1. Ultimately, the certified values of these candidate reference materials were determined as 716 mg kg-1 and 59 mg SeMet kg-1 with expanded uncertainties of 36 mg SeMet kg-1 (k = 2) and 5 mg SeMet kg-1 (k = 2), respectively. The development of these candidate reference materials serves as a valuable reference for diverse methods aiming to determine the value of organic selenium speciation in complex food substrates.
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Affiliation(s)
- Xiao Li
- School of Ocean Sciences, China University of Geosciences (Beijing), Beijing 100083, China;
- Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China; (L.S.); (P.S.); (W.C.)
| | - Ling Shi
- Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China; (L.S.); (P.S.); (W.C.)
| | - Panshu Song
- Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China; (L.S.); (P.S.); (W.C.)
| | - Wei Cai
- Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China; (L.S.); (P.S.); (W.C.)
| | - Ximing Luo
- School of Ocean Sciences, China University of Geosciences (Beijing), Beijing 100083, China;
| | - Bo Zhao
- Division of Chemical Metrology and Analytical Science, National Institute of Metrology, Beijing 100029, China; (L.S.); (P.S.); (W.C.)
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3
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Varrà MO, Husáková L, Zanardi E, Alborali GL, Patočka J, Ianieri A, Ghidini S. Elemental profiles of swine tissues as descriptors for the traceability of value-added Italian heavy pig production chains. Meat Sci 2023; 204:109285. [PMID: 37481966 DOI: 10.1016/j.meatsci.2023.109285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 07/14/2023] [Accepted: 07/16/2023] [Indexed: 07/25/2023]
Abstract
The increasing demand for reliable traceability tools in the meat supply chain has prompted the exploration of innovative approaches that meet stringent quality standards. In this work, 57 elements were quantified by inductively coupled plasma mass spectrometry and direct mercury analysis in 80 muscle and 80 liver samples of Italian heavy pigs to investigate the potential of new tools based on multi-elemental profiles in supporting value-added meat supply chains. Samples from three groups of animals belonging to the protected designation of origin (PDO) Parma Ham circuit (conventionally raised; raised with genetically modified organism (GMO)-free feeds; raised with GMO-free feeds plus the supplementation of omega-3 polyunsaturated fatty acids (n-3 PUFA)) and a fourth group of samples from animals not compliant with the PDO Parma Ham production process were analyzed. Hierarchical cluster analysis allowed for the identification of three macro-clusters of liver or muscle samples, highlighting some inhomogeneities among the target groups. Following SIMCA analysis, better classification models were obtained by using liver elemental profiles (95% correct classification rate), with the highest classification accuracy observed for GMO-free livers (100%). The elements contributing the most to the separation of livers by class membership were La, Ce, and Pb for conventional, Li, Cr, Fe, As, and Sr for GMO-free + n-3 PUFA, and Lu for non-PDO samples. Given these findings, the analysis of the elemental profiles of pig tissues can be regarded as a promising method to confirm the declared pig meat label attributes, deter potential complex fraud, and support meat traceability systems.
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Affiliation(s)
- Maria Olga Varrà
- Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy
| | - Lenka Husáková
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentska 573 HB/D, Pardubice CZ-532 10, Czech Republic
| | - Emanuela Zanardi
- Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy
| | - Jan Patočka
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentska 573 HB/D, Pardubice CZ-532 10, Czech Republic
| | - Adriana Ianieri
- Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy
| | - Sergio Ghidini
- Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy
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4
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Varrà MO, Zanardi E, Serra M, Conter M, Ianieri A, Ghidini S. Isotope Fingerprinting as a Backup for Modern Safety and Traceability Systems in the Animal-Derived Food Chain. Molecules 2023; 28:molecules28114300. [PMID: 37298773 DOI: 10.3390/molecules28114300] [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: 05/09/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
In recent years, due to the globalization of food trade and certified agro-food products, the authenticity and traceability of food have received increasing attention. As a result, opportunities for fraudulent practices arise, highlighting the need to protect consumers from economic and health damages. In this regard, specific analytical techniques have been optimized and implemented to support the integrity of the food chain, such as those targeting different isotopes and their ratios. This review article explores the scientific progress of the last decade in the study of the isotopic identity card of food of animal origin, provides the reader with an overview of its application, and focuses on whether the combination of isotopes with other markers increases confidence and robustness in food authenticity testing. To this purpose, a total of 135 studies analyzing fish and seafood, meat, eggs, milk, and dairy products, and aiming to examine the relation between isotopic ratios and the geographical provenance, feeding regime, production method, and seasonality were reviewed. Current trends and major research achievements in the field were discussed and commented on in detail, pointing out advantages and drawbacks typically associated with this analytical approach and arguing future improvements and changes that need to be made to recognize it as a standard and validated method for fraud mitigation and safety control in the sector of food of animal origin.
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Affiliation(s)
- Maria Olga Varrà
- Department of Food and Drug, University of Parma, 43126 Parma, Italy
| | - Emanuela Zanardi
- Department of Food and Drug, University of Parma, 43126 Parma, Italy
| | - Matteo Serra
- Department of Food and Drug, University of Parma, 43126 Parma, Italy
| | - Mauro Conter
- Department of Veterinary Science, University of Parma, 43126 Parma, Italy
| | - Adriana Ianieri
- Department of Food and Drug, University of Parma, 43126 Parma, Italy
| | - Sergio Ghidini
- Department of Food and Drug, University of Parma, 43126 Parma, Italy
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5
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Bontempo L, Perini M, Pianezze S, Horacek M, Roßmann A, Kelly SD, Thomas F, Heinrich K, Schlicht C, Schellenberg A, Hoogewerff J, Heiss G, Wimmer B, Camin F. Characterization of Beef Coming from Different European Countries through Stable Isotope (H, C, N, and S) Ratio Analysis. Molecules 2023; 28:molecules28062856. [PMID: 36985828 PMCID: PMC10057950 DOI: 10.3390/molecules28062856] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/08/2023] [Accepted: 03/13/2023] [Indexed: 03/30/2023] Open
Abstract
The need to guarantee the geographical origin of food samples has become imperative in recent years due to the increasing amount of food fraud. Stable isotope ratio analysis permits the characterization and origin control of foodstuffs, thanks to its capability to discriminate between products having different geographical origins and derived from different production systems. The Framework 6 EU-project "TRACE" generated hydrogen (2H/1H), carbon (13C/12C), nitrogen (15N/14N), and sulphur (34S/32S) isotope ratio data from 227 authentic beef samples. These samples were collected from a total of 13 sites in eight countries. The stable isotope analysis was completed by combining IRMS with a thermal conversion elemental analyzer (TC/EA) for the analysis of δ(2H) and an elemental analyzer (EA) for the determination of δ(13C), δ(15N), and δ(34S). The results show the potential of this technique to detect clustering of samples due to specific environmental conditions in the areas where the beef cattle were reared. Stable isotope measurements highlighted statistical differences between coastal and inland regions, production sites at different latitudes, regions with different geology, and different farming systems related to the diet the animals were consuming (primarily C3- or C4-based or a mixed one).
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Affiliation(s)
- Luana Bontempo
- Fondazione Edmund Mach, Via E. Mach, 1, 38098 San Michele all'Adige, Italy
| | - Matteo Perini
- Fondazione Edmund Mach, Via E. Mach, 1, 38098 San Michele all'Adige, Italy
| | - Silvia Pianezze
- Fondazione Edmund Mach, Via E. Mach, 1, 38098 San Michele all'Adige, Italy
| | - Micha Horacek
- AIT Austrian Institute of Technology GmbH, 2444 Seibersdorf, Austria
| | - Andreas Roßmann
- Isolab GmbH, Woelkestr. 9/1, 85301 Schweitenkirchen, Germany
| | - Simon D Kelly
- Food Safety & Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna International Centre, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria
| | - Freddy Thomas
- Eurofins Analytics France, Authenticity Competence Centre, Rue P.A. Bobierre, 44323 Nantes, France
| | | | - Claus Schlicht
- LGL Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Veterinärstraße 2, 85764 Oberschleißheim, Germany
| | - Antje Schellenberg
- LGL Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Veterinärstraße 2, 85764 Oberschleißheim, Germany
| | - Jurian Hoogewerff
- National Centre for Forensic Studies, Faculty of Science and Technology, University of Canberra, Canberra 2617, Australia
| | - Gerhard Heiss
- AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
| | - Bernhard Wimmer
- AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
| | - Federica Camin
- Fondazione Edmund Mach, Via E. Mach, 1, 38098 San Michele all'Adige, Italy
- Food Safety & Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna International Centre, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria
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6
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A New and Effective Method to Trace Tibetan Chicken by Amino Acid Profiling. Foods 2023; 12:foods12040876. [PMID: 36832951 PMCID: PMC9957330 DOI: 10.3390/foods12040876] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
As a "rare bird on the plateau", the Tibetan chicken is rich in nutrition and has high medicinal value. In order to quickly and effectively identify the source of food safety problems and to label fraud regarding this animal, it is necessary to identify the geographical traceability of the Tibetan chicken. In this study, Tibetan chicken samples from four different cities in Tibet, China were analyzed. The amino acid profiles of Tibetan chicken samples were characterized and further subjected to chemometric analyses, including orthogonal least squares discriminant analysis, hierarchical cluster analysis, and linear discriminant analysis. The original discrimination rate was 94.4%, and the cross-validation rate was 93.3%. Moreover, the correlation between amino acid concentrations and altitudes in Tibetan chicken was studied. With the increase in altitude, all amino acid contents showed a normal distribution. For the first time, amino acid profiling has been comprehensively applied to trace the origin of plateau animal food with satisfactory accuracy.
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7
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A comprehensive overview of emerging techniques and chemometrics for authenticity and traceability of animal-derived food. Food Chem 2023; 402:134216. [DOI: 10.1016/j.foodchem.2022.134216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 08/21/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022]
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8
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Yuan M, Gong S, Liu Y, Li X, Li M, Zeng D, Li J, Guo Y, Guo L. Rapid discrimination of the authenticity and geographical origin of bear bile powder using stable isotope ratio and elemental analysis. Anal Bioanal Chem 2023; 415:345-356. [PMID: 36350342 DOI: 10.1007/s00216-022-04413-9] [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: 09/09/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022]
Abstract
Bear bile powder (BBP) is one of the most famous traditional Chinese medicines derived from animals. It has a long history of medicinal use and is widely used in the treatment of hepatobiliary and ophthalmic diseases. Due to its similar morphological characterizations and chemical composition compared with other bile powders, it is difficult to accurately identify its authenticity. In addition, there are very few methods that could analyze the geographical origins of BBP. In this study, elemental analysis isotope ratio mass spectrometry (EA-IRMS) and inductively coupled plasma mass spectrometry (ICP-MS) were used to determine stable isotope ratios and elemental contents, respectively. Combined these variables with chemometrics, the discrimination models were established successfully for identifying the authenticity and geographical origins of BBP. Meanwhile, the discrimination markers were identified by calculating the variable importance for the projection (VIP) value of each variable. A total of 13 discrimination markers (δ13C, δ15N, C, Li, Mg, K, Ca, Cr, Ni, Zn, As, Se, and Sr) were used to further establish the fingerprint of BBP. According to similarity analysis, the authenticity and geographical origins of BBP could be identified without chemometrics. In conclusion, the present study established a reliable method for authenticity identification and origin traceability of BBP, which will provide references for the quality control of bile medicines.
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Affiliation(s)
- Minghao Yuan
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Sheng Gong
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Yushi Liu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Xiaohong Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Meifeng Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Dafu Zeng
- Chengdu JINGBO Biotechnology Co., Ltd, Chengdu, 611100, China
| | - Jiangang Li
- Chengdu JINGBO Biotechnology Co., Ltd, Chengdu, 611100, China
| | - Yiping Guo
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China. .,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.
| | - Li Guo
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China. .,School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.
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9
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Recent advances in Chinese food authentication and origin verification using isotope ratio mass spectrometry. Food Chem 2023; 398:133896. [DOI: 10.1016/j.foodchem.2022.133896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 11/20/2022]
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10
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Liu Y, Guo Y, Gong S, Yuan M, Liu J, Li X, Wu Z, Guo L. Discrimination of Curculigo orchioides Rhizoma and Curculigo glabrescens Rhizoma using stable isotope and mineral element analyses coupled with chemometrics. Sci Rep 2022; 12:12578. [PMID: 35869256 PMCID: PMC9307770 DOI: 10.1038/s41598-022-16851-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 07/18/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractCorrect species identification is crucial for ensuring the quality, safety, and efficacy of herbal medicine. Market research indicates that Curculigo glabrescens Rhizoma (CGR) was the major counterfeit of the medicine Curculigo orchioides Rhizoma (COR). To accurately discriminate COR and CGR remains a challenge, and it becomes even more difficult when the herbs have been heavily processed into a powder. In this work, combined with high performance liquid chromatography analysis, a novel component in CGR was discovered, and two stable isotopes (N%, C%, δ15N, δ13C) and nineteen mineral elements were determined along with multivariate statistical analysis to distinguish the authentic COR samples and counterfeit CGR samples. The results showed that there were significant differences between the mean value of N%, δ15N and δ13C according to the botanical origins. In addition, these two species can be differentiated by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) analysis. A linear discriminant analysis (LDA) model with a good classification rate (100%) and cross-validation rate (100%) was established. Hence, stable isotope and mineral element contents combined with chemometrics analysis could be considered as an effective and reliable method for discriminating the source species of COR and CGR.
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11
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Zhao L, Zhang H, Huang F, Liu H, Wang T, Zhang C. Authenticating Tibetan pork in China by tracing the species and geographical features based on stable isotopic and multi-elemental fingerprints. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Cristea G, Voica C, Feher I, Puscas R, Magdas DA. Isotopic and elemental characterization of Romanian pork meat in corroboration with advanced chemometric methods: A first exploratory study. Meat Sci 2022; 189:108825. [PMID: 35461107 DOI: 10.1016/j.meatsci.2022.108825] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 04/03/2022] [Accepted: 04/06/2022] [Indexed: 11/23/2022]
Abstract
In this study 93 pork meat samples (tenderloin) were analyzed via isotope ratios mass spectrometry (δ2H, δ18O, δ13C) and inductively coupled plasma - Mass spectrometry (55 elements). The meat samples are coming from Romania and abroad. Those from Romania are originating from conventional farms and yard rearing system. The analytical results in conjunction with linear discriminant analysis (LDA) and artificial neural networks (ANNs) were used to assess: The geographical origin, and animal diet. The most powerful markers which could differentiate pork meat samples concerning the geographical origin were δ18O, terbium, and tin. The results of chemometric models showed that, along with 13C signature, rubidium concentration, and a few rare earth-elements (lanthanum, and cerium) were efficient to discriminate animal diet in a percent of 97.8% (initial classification) and 94.6% (cross-validation), respectively. Some of predictors for feeding regime differentiation by using LDA were identified also to be the best markers to distinguish corn-based diet by using ANNs (δ13C, Rb, La).
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Affiliation(s)
- Gabriela Cristea
- National Institute for Research, Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Cezara Voica
- National Institute for Research, Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
| | - Ioana Feher
- National Institute for Research, Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
| | - Romulus Puscas
- National Institute for Research, Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Dana Alina Magdas
- National Institute for Research, Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
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13
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Application of stable isotopic and elemental composition combined with random forest algorithm for the botanical classification of Chinese honey. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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14
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Isotopes Don't Lie, differentiating organic from conventional banana (Musa AAA, Cavendish subgroup) fruits using C and N stable isotopes. Food Chem 2022; 394:133491. [PMID: 35717915 DOI: 10.1016/j.foodchem.2022.133491] [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: 02/04/2022] [Revised: 06/03/2022] [Accepted: 06/13/2022] [Indexed: 11/21/2022]
Abstract
With the dramatic increase of organic banana production worldwide, it is essential to be able to monitor compliance with organic specifications. While the detection of pesticide fraud is routinely controlled by detecting pesticide residues in organic bananas, the detection of fertilizer fraud is much more complex. We compared the δ13C and δ15N isotopic values of green bananas from organic and conventional farms at seven sites around the world. In our whole dataset, the δ15N values of banana fruits ranged between -1.25 and + 8.91‰. In all sites, δ15N values of organic banana were significantly higher than conventional fruits (mean value of + 5.24‰ and + 2.342‰, respectively). Conversely, the type of fertilization did not significantly alter δ13C values. Our results suggest that it is possible, upon arrival in importing countries, to differentiate bananas grown with synthetic fertilizer from those grown with organic fertilizer.
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15
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Huang H, Zhan W, Du Z, Hong S, Dong T, She J, Min C. Pork primal cuts recognition method via computer vision. Meat Sci 2022; 192:108898. [DOI: 10.1016/j.meatsci.2022.108898] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/18/2022] [Accepted: 06/20/2022] [Indexed: 12/20/2022]
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16
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Gong H, Rehman F, Li Z, Liu J, Yang T, Liu J, Li H, Hu Z, Ma Q, Wu Z, A B, Yang M, Gao H, Zhi H, Qu H, Di D, Wang Y. Discrimination of Geographical Origins of Wolfberry ( Lycium barbarum L.) Fruits Using Stable Isotopes, Earth Elements, Free Amino Acids, and Saccharides. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:2984-2997. [PMID: 35179024 DOI: 10.1021/acs.jafc.1c06207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
To develop sophisticated approaches for distinguishing goji origins, 325 wolfberry fruit samples of a certain cultivar, plant age, drying method, and collection season were gathered from 26 producing areas across Northwest China in 2017 and 2018. We employed 49 indices, including stable isotopes, earth elements, soluble amino acids, and saccharides, to identify the regions of origin of these goji fruits. Analysis of variance (ANOVA) and heritability analysis were used to assess the effects of the environment (producing areas), cultivar, plant age, drying process, and collection season. Samples from the same place can be classified and partially discriminated using principal component analysis (PCA). We were able to distinguish fruits produced in Zhongning County from those produced in the other five producing provinces using orthogonal projection to latent structure-discriminant analysis (OPLS-DA). Calcium (Ca), manganese (Mn), ornithine (Orn), cystine (Cys-Cys), glutamate (Glu), phenylalanine (Phe), phosphoserine (Ps), serine (Ser), lysine (Lys), taurine (Tau), proline (Pro), and tyrosine (Tyr) indices were chosen using S-plots and heritability analysis, and their repeatability was established with samples collected in 2018. The indices selected in this study can distinguish goji berries produced in Zhongning County from fruits originating from five other Provinces with high repeatability, which was validated with various cultivars, drying methods, harvest seasons, and plant ages and with heritability analysis.
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Affiliation(s)
- Haiguang Gong
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Fazal Rehman
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Zhong Li
- Bairuiyuan Company, Yinchuan 750000, P. R. China
| | - Jianfei Liu
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Lanzhou 730000, P. R. China
| | - Tianshun Yang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Juan Liu
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Haoran Li
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Zhongqing Hu
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Qihu Ma
- Beijing TongRenTang Health-Pharmaceutical (Ningxia) Co., Ltd., Yinchuan 750000, Ningxia, P. R. China
| | - Zhigeng Wu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Biao A
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Meizhen Yang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Hao Gao
- Institute of Traditional Chinese Medicine and Natural Products, College of Pharmacy/Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, Jinan University, Guangzhou 510632, P. R. China
| | - Hui Zhi
- School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou 510006, P. R. China
| | - Hongxia Qu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Duolong Di
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Lanzhou 730000, P. R. China
- Center of Resource Chemical and New Material, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Qingdao 266100, P. R. China
| | - Ying Wang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
- Gannan Normal University, Ganzhou, Jinagxi 341000, P. R. China
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Ji Hye L, Jae Min A, Dong Jin K, Ho Jin K, Seong Hun L. Use of LC-Orbitrap MS and FT-NIRS with multivariate analysis to determine geographic origin of Boston butt pork. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2022. [DOI: 10.1080/10942912.2022.2027962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Lee Ji Hye
- Experiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea
| | - An Jae Min
- Experiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea
| | - Kang Dong Jin
- Experiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea
| | - Kim Ho Jin
- Experiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea
| | - Lee Seong Hun
- Experiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon, Republic of Korea
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18
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Xu Y, Peng K, Jiang F, Cui Y, Han D, Liu H, Hong H, Tian X. Geographical discrimination of swimming crabs (Portunus trituberculatus) using stable isotope and multi-element analyses. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2021.104251] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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19
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Li X, Kong W, Liu X, Zhang X, Wang W, Chen R, Sun Y, Liu F. Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch. Front Artif Intell 2021; 4:735533. [PMID: 34957390 PMCID: PMC8703168 DOI: 10.3389/frai.2021.735533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Accurate geographical origin identification is of great significance to ensure the quality of traditional Chinese medicine (TCM). Laser-induced breakdown spectroscopy (LIBS) was applied to achieve the fast geographical origin identification of wild Gentiana rigescens Franch (G. rigescens Franch). However, LIBS spectra with too many variables could increase the training time of models and reduce the discrimination accuracy. In order to solve the problems, we proposed two methods. One was reducing the number of variables through two consecutive variable selections. The other was transforming the spectrum into spectral matrix by spectrum segmentation and recombination. Combined with convolutional neural network (CNN), both methods could improve the accuracy of discrimination. For the underground parts of G. rigescens Franch, the optimal accuracy in the prediction set for the two methods was 92.19 and 94.01%, respectively. For the aerial parts, the two corresponding accuracies were the same with the value of 94.01%. Saliency map was used to explain the rationality of discriminant analysis by CNN combined with spectral matrix. The first method could provide some support for LIBS portable instrument development. The second method could offer some reference for the discriminant analysis of LIBS spectra with too many variables by the end-to-end learning of CNN. The present results demonstrated that LIBS combined with CNN was an effective tool to quickly identify the geographical origin of G. rigescens Franch.
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Affiliation(s)
- Xiaolong Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Wenwen Kong
- College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China
| | - Xiaoli Liu
- School of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, China.,Yunnan Provincial Key Laboratory of Molecular Biology for Sinomedicine, Kunming, China
| | - Xi Zhang
- School of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, China
| | - Wei Wang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Rongqin Chen
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Yongqi Sun
- Hangzhou Landa Science and Technology Co., Ltd, Hangzhou, China
| | - Fei Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.,Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China
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20
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Zhou X, Wu H, Pan J, Chen H, Jin B, Yan Z, Xie L, Rogers KM. Geographical traceability of south-east Asian durian: A chemometric study using stable isotopes and elemental compositions. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103940] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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21
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Chemical Characteristics of Croatian Traditional Istarski pršut (PDO) Produced from Two Different Pig Genotypes. Molecules 2021; 26:molecules26144140. [PMID: 34299415 PMCID: PMC8303308 DOI: 10.3390/molecules26144140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/01/2021] [Accepted: 07/05/2021] [Indexed: 11/26/2022] Open
Abstract
Chemical characteristics of raw and processed Istarski pršut (PDO) produced from two different pig genotypes were studied with special emphasis on amino and fatty acid composition and factors of lipid stability. Raw hams of Large White (LW)xLandrace (L), and (LWxL)xDuroc (D) pig genotypes were used in the study (20 hams of each genotype). All left raw hams from each carcass were processed in accordance with the PDO specification of Istarski pršut, and other half (the right ones) of LWxL)xD genotype were used for analyses of raw hams (fresh muscles). Istarski pršut was evaluated on the basis of the chemical parameters of the raw and matured lean ham. The process of dry curing significantly influenced the chemical properties of Istarski pršut. Despite the higher content of intramuscular fat and polyunsaturated fatty acids, the fat of (LWxL)xD ham was much more resistant to hydrolysis and oxidation, suggesting that fatty acid profile and other factors, also play a significant role. Significant differences between pig genotypes in the amino acid and fatty acid profiles were found. The analyzed Istarski pršut may be distinguished by prints of multivariate chemometric statistical analysis, based on their amino acid and fatty acid compositions.
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22
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Zhao R, Su M, Zhao Y, Chen G, Chen A, Yang S. Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China. Foods 2021; 10:foods10051119. [PMID: 34070041 PMCID: PMC8158098 DOI: 10.3390/foods10051119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/12/2021] [Accepted: 05/14/2021] [Indexed: 12/30/2022] Open
Abstract
Traceability of milk origin in China is conducive to the implementation of the protection of regional products. In order to distinguish milk from different geographical distances in China, we traced the milk of eight farms in four neighboring provinces of China (Inner Mongolia autonomous region, Hebei, Ningxia Hui autonomous and Shaanxi), and multivariate data analysis was applied to the data including elemental analysis, stable isotope analysis and fatty acid analysis. In addition, orthogonal partial least squares discriminant analysis (OPLS-DA) is used to determine the optimal classification model, and it is explored whether the combination of different technologies is better than a single technical analysis. It was confirmed that in the inter-provincial samples, the combination of the two techniques was better than the analysis using a single technique (fatty acids: R2 = 0.716, Q2 = 0.614; fatty acid-binding isotopes: R2 = 0.760, Q2 = 0.635). At the same time, milk produced by farms with different distances of less than 11 km in each province was discriminated, and the discriminant distance was successfully reduced to 0.7 km (Ningxia Hui Autonomous Region: the distance between the two farms was 0.7 km, R2 = 0.771, Q2 = 0.631). For short-distance samples, the combination multiple technologies are not completely superior to a single technique, and sometimes, it is easy to cause model over-fitting.
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Affiliation(s)
- Ruting Zhao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
| | - Meicheng Su
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
| | - Yan Zhao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
- Correspondence:
| | - Gang Chen
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
| | - Ailiang Chen
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
| | - Shuming Yang
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (R.Z.); (M.S.); (G.C.); (A.C.); (S.Y.)
- Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, China
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23
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Wang Z, Erasmus SW, van Ruth SM. Preliminary Study on Tracing the Origin and Exploring the Relations between Growing Conditions and Isotopic and Elemental Fingerprints of Organic and Conventional Cavendish Bananas ( Musa spp.). Foods 2021; 10:foods10051021. [PMID: 34066664 PMCID: PMC8151364 DOI: 10.3390/foods10051021] [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: 04/06/2021] [Revised: 04/29/2021] [Accepted: 05/05/2021] [Indexed: 11/09/2022] Open
Abstract
The stable isotopic ratios and elemental compositions of 120 banana samples, Musa spp. (AAA Group, Cavendish Subgroup) cultivar Williams, collected from six countries (Colombia, Costa Rica, Dominica Republic, Ecuador, Panama, Peru), were determined by isotope ratio mass spectrometry and inductively coupled plasma mass spectrometry. Growing conditions like altitude, temperature, rainfall and production system (organic or conventional cultivation) were obtained from the sampling farms. Principal component analysis (PCA) revealed separation of the farms based on geographical origin and production system. The results showed a significant difference in the stable isotopic ratios (δ13C, δ15N, δ18O) and elemental compositions (Al, Ba, Cu, Fe, Mn, Mo, Ni, Rb) of the pulp and peel samples. Furthermore, δ15N was found to be a good marker for organically produced bananas. A correlation analysis was conducted to show the linkage of growing conditions and compositional attributes. The δ13C of pulp and peel were mainly negatively correlated with the rainfall, while δ18O was moderately positively (R values ~0.5) correlated with altitude and temperature. A moderate correlation was also found between temperature and elements such as Ba, Fe, Mn, Ni and Sr in the pulp and peel samples. The PCA results and correlation analysis suggested that the differences of banana compositions were combined effects of geographical factors and production systems. Ultimately, the findings contribute towards understanding the compositional differences of bananas due to different growing conditions and production systems linked to a defined origin; thereby offering a tool to support the traceability of commercial fruits.
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Affiliation(s)
- Zhijun Wang
- Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands; (Z.W.); (S.W.E.)
| | - Sara W. Erasmus
- Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands; (Z.W.); (S.W.E.)
| | - Saskia M. van Ruth
- Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands; (Z.W.); (S.W.E.)
- Wageningen Food Safety Research, Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands
- Correspondence: ; Tel.: +31-(0)317480250
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24
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Lim MSM, Grohn YT. Comparison of China's and the European Union's Approaches to Antimicrobial Stewardship in the Pork Industry. Foodborne Pathog Dis 2021; 18:567-573. [PMID: 33794668 DOI: 10.1089/fpd.2020.2887] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Antimicrobial resistance (AMR) is a recognized global public health concern. Although the link between antimicrobial usage in food animals and AMR in humans is established, the detailed interactions are unclear. Antimicrobial stewardship (AMS) in livestock was first implemented in Europe with Sweden as the pioneer in 1986. Despite this head start, AMR is still an ongoing challenge for Europe. The European Union (EU) is an established agriculture producer, the second largest pork producer globally, and one of the largest markets for organic food. China is the global leader in both production and consumption of pork. China's rise in prosperity has led to an increase in its pork demand. Chinese producers commonly use antimicrobials during production for disease treatment and prevention to meet this increased demand. China's rising prosperity together with recent publicized food safety scandals, disease outbreaks in domestic livestock products, and increased AMR awareness have resulted in an increased willingness to pay and demand for organic food by Chinese consumers. Responding to the growing concerns of AMR by consumers and the World Health Organization (WHO), the Chinese government introduced a national pilot program in 2016 to reduce unnecessary antimicrobial use. Compared with China, the EU is a different entity as it is a political union comprising diverse countries and although it may have more experience in AMS, both entities face similar issues with AMR and increasing demand for organic food. Increased interest in organic food has arisen due to concerns about AMR, food safety, outbreaks of bacterial food contamination, and animal welfare. This article aims to compare the different AMS strategies employed by each entity, China and the EU, and how the increased demand for organic produce globally also influences the effort to reduce antimicrobial use in these entities' pork industries.
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Affiliation(s)
- May Sie Megha Lim
- School of Veterinary Science, University of Sydney, Sydney NSW, Australia
| | - Yrjo T Grohn
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
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25
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Cazelles K, Zemlak TS, Gutgesell M, Myles-Gonzalez E, Hanner R, Shear McCann K. Spatial Fingerprinting: Horizontal Fusion of Multi-Dimensional Bio-Tracers as Solution to Global Food Provenance Problems. Foods 2021; 10:foods10040717. [PMID: 33800611 PMCID: PMC8066529 DOI: 10.3390/foods10040717] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 11/16/2022] Open
Abstract
Building the capacity of efficiently determining the provenance of food products represents a crucial step towards the sustainability of the global food system. Despite species specific empirical examples of multi-tracer approaches to provenance, the precise benefit and efficacy of multi-tracers remains poorly understood. Here we show why, and when, data fusion of bio-tracers is an extremely powerful technique for geographical provenance discrimination. Specifically, we show using extensive simulations how, and under what conditions, geographical relationships between bio-tracers (e.g., spatial covariance) can act like a spatial fingerprint, in many naturally occurring applications likely allowing rapid identification with limited data. To highlight the theory, we outline several statistic methodologies, including artificial intelligence, and apply these methodologies as a proof of concept to a limited data set of 90 individuals of highly mobile Sockeye salmon that originate from 3 different areas. Using 17 measured bio-tracers, we demonstrate that increasing combined bio-tracers results in stronger discriminatory power. We argue such applications likely even work for such highly mobile and critical fisheries as tuna.
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26
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Tu T, Wu W, Tang X, Ge Q, Zhan J. Screening out important substances for distinguishing Chinese indigenous pork and hybrid pork and identifying different pork muscles by analyzing the fatty acid and nucleotide contents. Food Chem 2021; 350:129219. [PMID: 33610838 DOI: 10.1016/j.foodchem.2021.129219] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/19/2020] [Accepted: 01/22/2021] [Indexed: 10/22/2022]
Abstract
Fatty acids and nucleotides are major contributors of pork flavor, which are key quality traits influencing consumers' preference. In this study, we investigated the contents of nucleotides (inosinic acid, inosine, and hypoxanthine) and 26 fatty acids by high-performance liquid chromatography and gas chromatography in longissimus dorsi and semimembranous muscle of four breeds (Dongbei Min pig, Beijing Black pig, Wuzhishan pig, and DLY pigs). Combining with multivariate statistics, we found significant differences in the nucleotides and fatty acids compositions among the breeds and muscles. Furthermore, the content of total unsaturated fatty acids and DHA were higher in native pigs than crossbred pigs. This study provides a theoretical basis for understanding the composition of flavor precursor substances, as well as for the identification of different muscles.
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Affiliation(s)
- Ting Tu
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China; College of Food Science and Technology, Nanjing Agricultural University, PR China
| | - Weida Wu
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Xiaoyan Tang
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
| | - Qianqian Ge
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
| | - Junliang Zhan
- Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China
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27
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Suzuki Y. Achieving Food Authenticity and Traceability Using an Analytical Method Focusing on Stable Isotope Analysis. ANAL SCI 2021; 37:189-199. [PMID: 33229826 DOI: 10.2116/analsci.20sar14] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
High-value agricultural products are characterized by the geographical conditions of the production areas such as climatic and soil conditions. These products are protected by the geographical indication (GI) protection system, which has been introduced in more than 100 countries. Because GI products are expensive in the market, products are often mislabeled as GI. Thus, there is an urgent need for the development of analytical methods that enable the tracing of geographical origins of food materials. Stable isotope analysis is used to trace the geographical origin of food materials. In this study, we review the applications for tracing the geographical origin of agricultural products (especially rice, beef, and honey) focusing on an analytical method for analyzing stable isotopes (δD, δ13C, δ15N, δ18O, and δ34S).
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Affiliation(s)
- Yaeko Suzuki
- Food Research Institute, National Agriculture and Food Research Organization (NARO), 2-1-12 Kannondai, Tsukuba, Ibaraki, 305-8642, Japan.
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