From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm
Current Hazard Analysis Critical Control Points (HACCP) approaches mainly fit for food industry, while their application in primary food production is still rudimentary. The European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and et...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-11-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fpubh.2017.00302/full |
| _version_ | 1818560564237959168 |
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| author | Andrea Lombardo Carlo Boselli Simonetta Amatiste Simone Ninci Chiara Frazzoli Roberto Dragone Alberto De Rossi Gerardo Grasso Alberto Mantovani Giovanni Brajon |
| author_facet | Andrea Lombardo Carlo Boselli Simonetta Amatiste Simone Ninci Chiara Frazzoli Roberto Dragone Alberto De Rossi Gerardo Grasso Alberto Mantovani Giovanni Brajon |
| author_sort | Andrea Lombardo |
| collection | DOAJ |
| description | Current Hazard Analysis Critical Control Points (HACCP) approaches mainly fit for food industry, while their application in primary food production is still rudimentary. The European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and ethical responsibility in food supply. The multidisciplinary and interdisciplinary project ALERT pivots on the development of the technological invention (BEST platform) and application of its measurable (bio)markers—as well as scientific advances in risk analysis—at strategic points of the milk chain for time and cost-effective early identification of unwanted and/or unexpected events of both microbiological and toxicological nature. Health-oriented innovation is complex and subject to multiple variables. Through field activities in a dairy farm in central Italy, we explored individual components of the dairy farm system to overcome concrete challenges for the application of translational science in real life and (veterinary) public health. Based on an HACCP-like approach in animal production, the farm characterization focused on points of particular attention (POPAs) and critical control points to draw a farm management decision tree under the One Health view (environment, animal health, food safety). The analysis was based on the integrated use of checklists (environment; agricultural and zootechnical practices; animal health and welfare) and laboratory analyses of well water, feed and silage, individual fecal samples, and bulk milk. The understanding of complex systems is a condition to accomplish true innovation through new technologies. BEST is a detection and monitoring system in support of production security, quality and safety: a grid of its (bio)markers can find direct application in critical points for early identification of potential hazards or anomalies. The HACCP-like self-monitoring in primary production is feasible, as well as the biomonitoring of live food producing animals as sentinel population for One Health. |
| first_indexed | 2024-12-14T00:39:55Z |
| format | Article |
| id | doaj.art-680f1d477d7048cda99e92a5c3981a05 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-14T00:39:55Z |
| publishDate | 2017-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-680f1d477d7048cda99e92a5c3981a052022-12-21T23:24:26ZengFrontiers Media S.A.Frontiers in Public Health2296-25652017-11-01510.3389/fpubh.2017.00302304582From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy FarmAndrea Lombardo0Carlo Boselli1Simonetta Amatiste2Simone Ninci3Chiara Frazzoli4Roberto Dragone5Alberto De Rossi6Gerardo Grasso7Alberto Mantovani8Giovanni Brajon9Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”, Section of Florence, Florence, ItalyIstituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”, Rome, ItalyIstituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”, Rome, ItalyIstituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”, Section of Florence, Florence, ItalyIstituto Superiore di Sanità, Rome, ItalyConsiglio Nazionale delle Ricerche, Rome, ItalyCooperativa Lattepiù, Rome, ItalyConsiglio Nazionale delle Ricerche, Rome, ItalyIstituto Superiore di Sanità, Rome, ItalyIstituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”, Section of Florence, Florence, ItalyCurrent Hazard Analysis Critical Control Points (HACCP) approaches mainly fit for food industry, while their application in primary food production is still rudimentary. The European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and ethical responsibility in food supply. The multidisciplinary and interdisciplinary project ALERT pivots on the development of the technological invention (BEST platform) and application of its measurable (bio)markers—as well as scientific advances in risk analysis—at strategic points of the milk chain for time and cost-effective early identification of unwanted and/or unexpected events of both microbiological and toxicological nature. Health-oriented innovation is complex and subject to multiple variables. Through field activities in a dairy farm in central Italy, we explored individual components of the dairy farm system to overcome concrete challenges for the application of translational science in real life and (veterinary) public health. Based on an HACCP-like approach in animal production, the farm characterization focused on points of particular attention (POPAs) and critical control points to draw a farm management decision tree under the One Health view (environment, animal health, food safety). The analysis was based on the integrated use of checklists (environment; agricultural and zootechnical practices; animal health and welfare) and laboratory analyses of well water, feed and silage, individual fecal samples, and bulk milk. The understanding of complex systems is a condition to accomplish true innovation through new technologies. BEST is a detection and monitoring system in support of production security, quality and safety: a grid of its (bio)markers can find direct application in critical points for early identification of potential hazards or anomalies. The HACCP-like self-monitoring in primary production is feasible, as well as the biomonitoring of live food producing animals as sentinel population for One Health.http://journal.frontiersin.org/article/10.3389/fpubh.2017.00302/fulldairy chaincow milkbiosensoristic devicesrisk managementrisk assessmentfood safety |
| spellingShingle | Andrea Lombardo Carlo Boselli Simonetta Amatiste Simone Ninci Chiara Frazzoli Roberto Dragone Alberto De Rossi Gerardo Grasso Alberto Mantovani Giovanni Brajon From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm Frontiers in Public Health dairy chain cow milk biosensoristic devices risk management risk assessment food safety |
| title | From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm |
| title_full | From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm |
| title_fullStr | From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm |
| title_full_unstemmed | From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm |
| title_short | From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm |
| title_sort | from invention to innovation risk analysis to integrate one health technology in the dairy farm |
| topic | dairy chain cow milk biosensoristic devices risk management risk assessment food safety |
| url | http://journal.frontiersin.org/article/10.3389/fpubh.2017.00302/full |
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