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Zhao S, Liu H, Qie M, Zhang J, Tan L, Zhao Y. Stable Isotope Analysis for Authenticity and Traceability in Food of Animal Origin. FOOD REVIEWS INTERNATIONAL 2021. [DOI: 10.1080/87559129.2021.2005087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Shanshan Zhao
- Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Institute of Quality Standard & Testing Technology for Agro-Products, Beijing, China
- Key Laboratory of Agro-product Quality and Safety, Ministry of Agriculture, Beijing, China
| | - Haijin Liu
- Tibet Autonomous Region Agricultural and Livestock Product Quality and Safety Inspection Testing Center, Lhasa, China
| | - Mengjie Qie
- Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Institute of Quality Standard & Testing Technology for Agro-Products, Beijing, China
- Key Laboratory of Agro-product Quality and Safety, Ministry of Agriculture, Beijing, China
| | - Jiukai Zhang
- Agro-Product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Liqin Tan
- Changgao Agricultural Technology Extension Station, Beipiao, China
| | - Yan Zhao
- Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Institute of Quality Standard & Testing Technology for Agro-Products, Beijing, China
- Key Laboratory of Agro-product Quality and Safety, Ministry of Agriculture, Beijing, China
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Wang Q, Liu H, Bai Y, Zhao Y, Guo J, Chen A, Yang S, Zhao S, Tan L. Research progress on mutton origin tracing and authenticity. Food Chem 2021; 373:131387. [PMID: 34742042 DOI: 10.1016/j.foodchem.2021.131387] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/06/2021] [Accepted: 10/10/2021] [Indexed: 11/04/2022]
Abstract
With the globalization of the food market and the convenience of food transportation between countries, consumers are increasingly worried about the source and safety of the food they eat. Traceability has been identified as an important tool for ensuring food safety and quality. This review mainly introduces the principles of five food traceability technologies, summarizes the progress in mutton application, comprehensively compares and analyzes the five traceability technologies, and discusses their application prospects, advantages and disadvantages. It is aimed at promoting research and application of traceability technology in mutton safety, promoting establishment and improvement of food traceability system.
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Affiliation(s)
- Qian Wang
- 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; College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Haijin Liu
- Tibet Autonomous Region Agricultural and Livestock Product Quality and Safety Inspection Testing Center, Lhasa 850211, China
| | - Yang Bai
- 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; College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - 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
| | - Jun Guo
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Ailiang Chen
- 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
| | - Shuming 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
| | - 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
| | - Liqin Tan
- Changgao Agricultural Technology Extension Station, Beipiao 122109, China
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Valenti B, Biondi L, Campidonico L, Bontempo L, Luciano G, Di Paola F, Copani V, Ziller L, Camin F. Changes in stable isotope ratios in PDO cheese related to the area of production and green forage availability. The case study of Pecorino Siciliano. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2017; 31:737-744. [PMID: 28220554 DOI: 10.1002/rcm.7840] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 02/11/2017] [Accepted: 02/15/2017] [Indexed: 06/06/2023]
Abstract
RATIONALE No study has investigated the variations in stable isotope ratios (SIRs) of bioelements within a Protected Designations of Origin (PDO) cheese and few studies have focused on the dietary background of animals. For traceability purposes, it is important to know how and whether these issues affect SIRs in a PDO cheese. METHODS Thirty-six Pecorino Siciliano cheese samples were collected in three east-Sicilian areas in seasons in which green herbage was present or absent in the diet of the animals. The determination of C, N and S SIRs was performed using an isotope ratio mass spectrometer coupled with an elemental analyser. The H and O SIRs were measured using an isotope ratio mass spectrometer equipped with a thermal conversion elemental analyser pyrolysis unit. RESULTS The C, N, H, O and S SIRs measured in defatted cheeses were subjected to a multivariate stepwise discriminant analysis to verify if cheeses could be distinguished based on their geographical origin and on the animals' feeding regimen. Sulfur and nitrogen SIRs allowed the best discrimination among the three areas (97.2% correct classification of the cheeses). The discrimination of the feeding system, to check the presence or not of fresh forage in the diet of the animals, correctly classified 86.1% of the cheeses. The C and O SIRs were the most effective parameters. CONCLUSIONS This study demonstrates that the variability in C, H, O, N and S SIRs can allow discrimination between cheeses produced in a narrow geographical region within a PDO area. This may lead to the search for new tools in authentication studies such as the creation of specific isoscapes. Moreover, this study confirms that SIR determination can also discriminate cheeses obtained from animals fed in stalls from those produced when animals have access to green forage, with benefit in terms of environmental impact, animal welfare and product quality. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Bernardo Valenti
- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy
| | - Luisa Biondi
- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy
| | - Luca Campidonico
- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy
| | - Luana Bontempo
- Dipartimento Qualità Alimentare e Nutrizione, Centro Ricerca ed Innovazione, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, Italy
| | - Giuseppe Luciano
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali (DSA3), University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
| | - Fortunato Di Paola
- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy
| | - Venera Copani
- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy
| | - Luca Ziller
- Dipartimento Qualità Alimentare e Nutrizione, Centro Ricerca ed Innovazione, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, Italy
| | - Federica Camin
- Dipartimento Qualità Alimentare e Nutrizione, Centro Ricerca ed Innovazione, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, Italy
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