Application of Microsatellites to Trace the Dairy Products Back to the Farm of Origin

Author:

Perga Simona1,Biolatti Cristina1,Martini Isabella1,Rossi Francesco2,Benso Alfredo2ORCID,Acutis Pier Luigi1,Bagnato Alessandro3,Cognata Domenico4,Caroggio Piero5,Peletto Simone1ORCID,Modesto Paola1ORCID

Affiliation:

1. Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta, 10154 Turin, Italy

2. Computer and Control Engineering Department, Polytechnic of Turin, 10100 Turin, Italy

3. Department of Veterinary and Animal Science, Università degli Studi di Milano, 26900 Lodi, Italy

4. Azienda Sanitaria Locale BI, 13900 Biella, Italy

5. Azienda Sanitaria Locale 1 Imperiese, 18100 Imperia, Italy

Abstract

The increasing number of food frauds, mainly targeting high quality products, is a rising concern among producers and authorities appointed to food controls. Therefore, the development or implementation of methods to reveal frauds is desired. The genetic traceability of traditional or high-quality dairy products (i.e., products of protected designation of origin, PDO) represents a challenging issue due to the technical problems that arise. The aim of the study was to set up a genetic tool for the origin traceability of dairy products. We investigated the use of Short Tandem Repeats (STRs) to assign milk and cheese to the corresponding producer. Two farms were included in the study, and the blood of the cows, bulk milk, and derived cheese were sampled monthly for one year. Twenty STRs were selected and Polymerase Chain Reactions for each locus were carried out. The results showed that bulk milk and derived cheese express an STR profile composed of a subset of STRs of the lactating animals. A bioinformatics tool was used for the exclusion analysis. The study allowed the identification of a panel of 20 markers useful for the traceability of milk and cheeses, and its effectiveness in the traceability of dairy products obtained from small producers was demonstrated.

Funder

Italian Ministry of Health

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference35 articles.

1. A comprehensive review of food fraud terminologies and food fraud mitigation guides;Robson;Food Control,2021

2. A review of food fraud and food authenticity across the food supply chain, with an examination of the impact of the COVID-19 pandemic and Brexit on food industry;Brooks;Food Control,2021

3. Agetu, R. (2020, January 12–14). Food safety verification by block chain; a consumer-focused solution to the global food fraud crisis. Proceedings of the Australian Agricultural and Resource Economics Society Conference (64th), Perth, WA, Australia.

4. European Commission, Joint Research Centre, Winkler, B., Maquet, A., Reeves-Way, E., Siegener, E., Cassidy, T., Valinhas de Oliveira, T., Verluyten, J., and Jelic, M. (2023). Fighting Fraudulent and Deceptive Practices in the Agri-Food Chain, Technical Report “Implementation of Article 9(2) of Regulation (EU) 2017/625”.

5. Ministero Dell’agricoltura, Della Sovranità Alimentare e Delle Foreste (2023, August 18). Available online: https://www.politicheagricole.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/394.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3