dc.creatorBallesteros Vargas, María Fernanda
dc.creatorCartín-Rojas, Andrés
dc.date12 de septiembre de 2020
dc.date3 de octubre de 2020
dc.date2023-06-22T07:00:00Z
dc.date.accessioned2023-09-07T21:56:45Z
dc.date.available2023-09-07T21:56:45Z
dc.identifierhttps://ciencia.lasalle.edu.co/mv/vol1/iss47/9
dc.identifierhttps://ciencia.lasalle.edu.co/cgi/viewcontent.cgi?article=1522&context=mv
dc.identifierhttps://ciencia.lasalle.edu.co/context/mv/article/1522/viewcontent/08RevMedicinaVeterinaria_47_MFBallesteros_et_al.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8749418
dc.description<p>Se desarrolló una herramienta para evaluar la vulnerabilidad al fraude alimentario en plantas de elaboración y procesamiento de productos animales para consumo humano. El instrumento fue denominado Estimación de la Vulnerabilidad al Fraude Alimentario (EVUFA). El cuestionario fue sometido a un proceso de validación por parte de quince profesionales de la industria alimentaria, usando para ello una escala de Likert de tres variables. Para validar el EVUFA, se realizó la validación de contenido por el método de Lawshe modificado, descartándose seis preguntas que no superaban el valor mínimo. Además, la medición de la confiabilidad mediante el coeficiente estadístico Alfa de Cronbach fue de 0,93. Se realizó un estudio de caso aplicando el EVUFA en 2 plantas procesadoras de alimentos, las cuales obtuvieron una puntuación de 60,5 y 51, respectivamente. En efecto, este fue calificado con una vulnerabilidad moderada al fraude alimentario.</p>
dc.description<p>A tool was developed to assess vulnerability to food fraud in plants that manufacture and process animal products for human consumption. It was decided to name the generated instrument EVUFA (Food Fraud Vulnerability Assessment). The questionnaire was submitted to a validation process by 15 professionals from the food industry, using a 3 variable Likert scale. To validate the EVUFA, content validity was performed using the modified Lawshe method, discarding 6 questions that did not exceed the minimum value. In addition, the measurement of reliability using the Cronbach’s alpha statistic was 0,93. A case study was carried out applying the EVUFA in 2 food processing plants, which obtained a score of 60,5 and 51, respectively. Consequently, they were rated with a moderate vulnerability to food fraud.</p>
dc.formatapplication/pdf
dc.formate0006
dc.languagespa
dc.publisherUniversidad de La Salle. Ediciones Unisalle
dc.relationComisión del Codex Alimentarius. El fraude alimentario: respuesta ante sus riesgos, prevención y contramedidas. Trigésima primera reunión. Roma, Italia: Organización Mundial de la Salud - Organización de las Naciones Unidas para la Alimentación y la Agricultura; 2019. Disponible en: https://www.fao.org/fao-who-codexalimentarius/sh-proxy/de/?lnk=1&url=https%253A%252F%252Fworkspace.fao.org%252Fsites%252Fcodex%252FMeetings%252FCX-706-31%252FWD%252Feu31_02s.pdf
dc.relationYang Y, Huisman W, Hettinga KA, Zhang L, van Ruth SM. The Chinese milk supply chain: A fraud perspective. Food Cont. 2020;113: 107211. Disponible en: https://doi.org/10.1016/j.foodcont.2020.107211
dc.relationSpink J, Hegarty PV, Fortin ND, Elliott CT, Moyer DC. The application of public policy theory to the emerging food fraud risk: Next steps. Tre Food Sci Tech. 2019;85: 116-128. Disponible en: https://doi.org/10.1016/j.tifs.2019.01.002
dc.relationCallao MP, Ruisánchez I. An overview of multivariate qualitative methods for food fraud detection. Food Cont. 2018;86: 283-293. Disponible en: https://doi.org/10.1016/j.foodcont.2017.11.034
dc.relationFAO. Food fraud – Intention, detection and management. Food safety technical toolkit for Asia and the Pacific. No. 5. Bangkok: FAO; 2021. Disponible en: https://www.fao.org/3/cb2863en/cb2863en.pdf
dc.relationFAO. Thinking about the future of food safety – A foresight report. Rome: FAO; 2022. Disponible en: https://doi.org/10.4060/cb8667en
dc.relationRobson K, Dean M, Haughey S, Elliott C. A comprehensive review of food fraud terminologies and food fraud mitigation guides. Food Cont. 2020: 107516. Disponible en: https://doi.org/10.1016/j.foodcont.2020.107516
dc.relationCartín-Rojas A. Food fraud and adulteration: a challenge for the foresight of Veterinary Services. Rev Sci Tech Off Int Epiz. 2017;36(3): 1015-1024. Disponible en: https://doc.oie.int/dyn/portal/digidoc.xhtml?statelessToken=MjIvlKFvg0PtWNYJEv2-gwtfugQGzKFNwFgniet6WNE=&actionMethod=dyn%2Fportal%2Fdigidoc.xhtml%3AdownloadAttachment.openStateless
dc.relationSoon JM, Krzyzaniak SC, Shuttlewood Z, Smith M, Jack L. Food fraud vulnerability assessment tools used in food industry. Food Cont. 2019;101: 225-232. Disponible en: https://doi.org/10.1016/j.foodcont.2019.03.002
dc.relationDíaz Porras RA, Cartín Rojas A, Alvarado Ruiz JM. Programa de compras institucionales en Costa Rica: Política productiva cuestionada pero socialmente necesaria. Perspect Rur. 2020;18(36): 49-76. Disponible en http://doi.org/10.15359/prne.18-36.3
dc.relationVan Ruth SM, Nillesen O. Which Company Characteristics Make a Food Business at Risk for Food Fraud? Foods. 2021;10(4): 842. Disponible en: http://doi.org/10.3390/foods10040842
dc.relationVan Ruth SM, Luning PA, Silvis ICJ, Yang Y, Huisman W. Differences in fraud vulnerability in various food supply chains and their tiers. Food Cont. 2018;84, 375-381. Disponible en: http://doi.org/10.1016/j.foodcont.2017.0
dc.relationCadieux B, Goodridge LD, Spink J. Gap analysis of the Canadian food fraud regulatory oversight and recommendations for improvement. Food Cont. 2019;102: 46-55. Disponible en: https://doi.org/10.1016/j.foodcont.2019.03.012
dc.relationEspinoza T, Mesa FR, Valencia E, Quevedo R. Tipos de fraude en carnes y productos cárnicos: una revisión. Sci Agro. 2015;6(3). Disponible en: http://www.scielo.org.pe/scielo.php?script=sci_arttext&pid=S2077-99172015000300009&lang=es
dc.relationBrooks C, Parr L, Smith JM, Buchanan D, Snioch D, Hebishy E. 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. Food Cont. 2021;130: 108171. Disponible en: https://doi.org/10.1016/j.foodcont.2021.108171
dc.relationSpink J, Moyer D. Defining Public Health Threat of Food Fraud. J Food Sci. 2011;76(9): R157-R163. Disponible en: https://doi.org/10.1111/j.1750-3841.2011.02417.x
dc.relationUlberth F. Tools to combat food fraud – A gap analysis. Food Chem. 2020;15(330): 127044. Disponible en: https://doi.org/10.1016/j.foodchem.2020.127044
dc.relationKendall H, Clark B, Rhymer C, Kuznesof S, Hajslova J, Tomaniova M, et al. A systematic review of consumer perceptions of food and authenticity: A European perspective. Tre Food Sci Tech. 2019;94: 79-90. Disponible en: https://doi.org/10.1016/j.tifs.2019.10.005
dc.relationSanabria Quesada A. Defensa y Fraude Alimentario: Motivaciones diferentes que generan un mismo resultado [Internet]. Rev Alime Cám Costarric Indus Alim. 2021, febrero. Disponible en: http://alimentaria.cacia.org/digital/defensa-y-fraude-alimentario-motivaciones-diferentes-que-generan-un-mismo-resultado/
dc.relationBarrere V, Everstine K, Théolier J, Godefroy S. Food fraud vulnerability assessment: Towards a global consensus on procedures to manage and mitigate food fraud. Tre Food Sci Tech. 2020;100: 131-137. Disponible en: https://doi.org/10.1016/j.tifs.2020.04.002
dc.relationGao B, Holroyd SE, Moore JC, Laurvick K, Gendel SM, Xie Z. Opportunities and challenges using non-targeted methods for food fraud detection. J Agric Food Chem. 2019;67(31): 8425-8430. Disponible en: https://doi.org/10.1021/acs.jafc.9b03085
dc.relationVan Ruth SM, Huisman W, Luning, PA. Food fraud vulnerability and its key factors. Tre Food Sci Tech. 2017;67: 70-75. Disponible en: doi: https://doi.org/10.1016/j.tifs.2017.06.017
dc.relationRezazade F, Summers J, Lai Teik DO. A holistic approach to food fraud vulnerability assessment. Food Cont. 2022;131: 108440. Disponible en: https://doi.org/10.1016/j.foodcont.2021.108440
dc.relationFDA FSMA Final Rule for Mitigation Strategies to Protect Food Against Intentional Adulteration [Internet]. US Food & Drug Administration. 2022, marzo 11. Disponible en: https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-mitigation-strategies-protect-food-against-intentional-adulteration
dc.relationSpink J, Elliott C, Dean M, Speier-Pero C. Food fraud data collection needs survey. Npj Sci Food. 2019;3(1): 8. Disponible en: https://doi.org/10.1038/s41538-019-0036-x
dc.relationManning L, Soon JM. Food fraud vulnerability assessment: Reliable data sources and effective assessment approaches. Tre Food Sci Tech. 2019;91. 159-168. Disponible en: https://doi.org/10.1016/j.tifs.2019.07.007
dc.relationHerrera A. Vulnerabilidad de la industria de lácteos al fraude alimentario. Rev Uni Téc Nac Info. 2018;XX(82 mayo-agosto): 16-19. Disponible en: https://www.utn.ac.cr/sites/default/files/attachments/REVISTA%2082.pdf
dc.relationSilvis ICJ, van Ruth SM, van der Fels-Klerx HJ, Luning PA. Assessment of food fraud vulnerability in the spices chain: An explorative study. Food Cont. 2017;81: 80-87. https://doi.org/10.1016/j.foodcont.2017.05.019
dc.relationU.S. Department of Health and Human Services Food and Drug Administration Center for Food and Applied Nutrition. Mitigation Strategies to Protect Food Against Intentional Adulteration: Guidance for Industry. U.S. Department of Health and Human Services Food and Drug Administration Center for Food and Applied Nutrition; 2020. Disponible en: https://www.fda.gov/media/135122/download
dc.relationMoerman F. Chapter 5 - Food Defense. En: Holban AM, Mihai A (eds.), Food Control and Biosecurity. Elsevier; 2018. p. 135-223. Disponible en: https://doi.org/10.1016/b978-0-12-811445-2.00005-2
dc.relationCatlin M, Kautter D. An Overview of the Carver Plus Shock Method for Food Sector Vulnerability Assessments. Washington: Food Safety and Quality Service; 2009. Disponible en: https://ntrl.ntis.gov/NTRL/dashboard/searchResults/titleDetail/PB2009104873.xhtml
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAcceso abierto
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectindustria alimentaria; inocuidad alimentaria; adulteración de los alimentos; análisis de vulnerabilidad
dc.subjectfood industry; food safety; food contamination; vulnerability analysis
dc.subjectAgriculture
dc.subjectAnimal Sciences
dc.subjectLife Sciences
dc.subjectVeterinary Medicine
dc.titleDiseño y validación de una herramienta para evaluar la vulnerabilidad de fraude alimentario
dc.typeArtículo de investigación
dc.identifier.doihttps://doi.org/10.19052/mv.vol1.iss47.9
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
dc.type.contentText
dc.type.coarversionVersión publicada
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.identifier.instnameinstname:Universidad de La Salle
dc.identifier.reponamereponame:Ciencia Unisalle
dc.identifier.repo.urlrepourl:https://ciencia.lasalle.edu.co/
dc.relation.ispartofcitationissue47
dc.relation.ispartofjournalRevista de Medicina Veterinaria
dc.title.translatedDesign and validation of a tool to assess food fraud vulnerability


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