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Probabilistic Risk Characterization of Heavy Metals in Peruvian Coffee: Implications of Variety, Region and Processing

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Probabilistic Risk Characterization of Heavy Metals in Peruvian Coffee: Implications of Variety, Region and Processing

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dc.contributor.author Guadalupe, Grobert A. es_ES
dc.contributor.author Chavez, Segundo G. es_ES
dc.contributor.author Arellanos, Erick es_ES
dc.contributor.author Doménech Antich, Eva Mª es_ES
dc.date.accessioned 2024-10-23T18:08:31Z
dc.date.available 2024-10-23T18:08:31Z
dc.date.issued 2023-09 es_ES
dc.identifier.issn 2304-8158 es_ES
dc.identifier.uri http://hdl.handle.net/10251/210796
dc.description.abstract [EN] Heavy metals are chemical contaminants, toxic, potentially carcinogenic and/or mutagenic, stable, persistent and are of concern in the food chain. The risk to the consumer of the presence of inorganic arsenic (iAs), cadmium (Cd), chromium (Cr), mercury (Hg) and lead (Pb) in five varieties (Bourbon, Típica, Catimor, Caturra and Pache) of parchment coffee from five regions (Amazonas, Cajamarca, Cusco, Huánuco and San Martín) was investigated in this study. A predictive model of the stages of coffee bean hulling, roasting and infusion was built to simulate the process. The results by region showed significant differences in which San Martín had the highest iAs, Cr and Pb values. The variety was only significant for Cr, of which Pache presented the highest concentration. The Cd and Hg values were below the detection limits. The hazard index (HI) was less than 1 for iAs, Cd, Cr and Hg and the combination of margin of exposure and the probability of exceedance (MOE-POE) for Pb indicated that an adverse health effect was not likely. The cancer risk (CR) for iAs and Pb in the 95th percentile was considered as both high and acceptable, respectively. es_ES
dc.description.sponsorship The authors wish to express their gratitude to the Peruvian National Public Investment System Project-SNIP N degrees 352439 "Creation of Coffee Research Services, Innovation and Technology Transfer Centre-CEINCAFE". es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Foods es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Chemical contaminants es_ES
dc.subject Consumer exposure es_ES
dc.subject Probabilistic approach es_ES
dc.subject Risk assessment es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.title Probabilistic Risk Characterization of Heavy Metals in Peruvian Coffee: Implications of Variety, Region and Processing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/foods12173254 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Guadalupe, GA.; Chavez, SG.; Arellanos, E.; Doménech Antich, EM. (2023). Probabilistic Risk Characterization of Heavy Metals in Peruvian Coffee: Implications of Variety, Region and Processing. Foods. 12(17). https://doi.org/10.3390/foods12173254 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/foods12173254 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 17 es_ES
dc.identifier.pmid 37685188 es_ES
dc.identifier.pmcid PMC10487125 es_ES
dc.relation.pasarela S\504906 es_ES
dc.subject.ods 02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES
dc.subject.ods 12.- Garantizar las pautas de consumo y de producción sostenibles es_ES


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