Application of Proteomic Technologies to Assess the Quality of Raw Pork and Pork Products: An Overview from Farm-To-Fork
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Física | gl |
| dc.contributor.author | López-Pedrouso, María | |
| dc.contributor.author | Lorenzo Rodríguez, José Manuel | |
| dc.contributor.author | Gagaoua, Mohammed | |
| dc.contributor.author | Franco Ruiz, Daniel | |
| dc.date.accessioned | 2020-12-17T12:41:01Z | |
| dc.date.available | 2020-12-17T12:41:01Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | The quality assurance of pork meat and products includes the study of factors prior to slaughter such as handling practices, diet and castration, and others during the post-mortem period such as aging, storage, and cooking. The development over the last two decades of high-throughput techniques such as proteomics offer great opportunities to examine the molecular mechanisms and study a priori the proteins in the living pigs and main post-mortem changes and post-translational modifications during the conversion of the muscle into the meat. When the most traditional crossbreeding and rearing strategies to improve pork quality were assessed, the main findings indicate that metabolic pathways early post-mortem were affected. Among the factors, it is well documented that pre-slaughter stress provokes substantial changes in the pork proteome that led to defective meat, and consequently, novel protein biomarkers should be identified and validated. Additionally, modifications in pork proteins had a strong effect on the sensory attributes due to the impact of processing, either physical or chemical. Maillard compounds and protein oxidation should be monitored in order to control proteolysis and volatile compounds. Beyond this, the search of bioactive peptides is becoming a paramount goal of the food and nutraceutical industry. In this regard, peptidomics is a major tool to identify and quantify these peptides with beneficial effects for human health | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | José M. Lorenzo and Daniel Franco are members of the HealthyMeat network, funded by CYTED (Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo) (ref. 119RT0568). Our thanks go to GAIN (Axencia Galega de Innovación, Xunta de Galicia, Spain) for supporting this research (grant number IN607A2019/01). Mohammed Gagaoua is grateful to the funding received from Marie Skłodowska-Curie, grant agreement no. 713654 | gl |
| dc.identifier.citation | López-Pedrouso, M.; Lorenzo, J.M.; Gagaoua, M.; Franco, D. Application of Proteomic Technologies to Assess the Quality of Raw Pork and Pork Products: An Overview from Farm-To-Fork. Biology 2020, 9, 393 | gl |
| dc.identifier.doi | 10.3390/biology9110393 | |
| dc.identifier.essn | 2079-7737 | |
| dc.identifier.uri | http://hdl.handle.net/10347/24055 | |
| dc.language.iso | eng | gl |
| dc.publisher | MDPI | gl |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/713654 | |
| dc.relation.publisherversion | https://doi.org/10.3390/biology9110393 | gl |
| dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) | gl |
| dc.rights | Atribución 4.0 Internacional | |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Pig | gl |
| dc.subject | High-throughput proteomic tools | gl |
| dc.subject | Meat quality | gl |
| dc.subject | Molecular biomarkers | gl |
| dc.subject | Traceability | gl |
| dc.subject | Authentication | gl |
| dc.title | Application of Proteomic Technologies to Assess the Quality of Raw Pork and Pork Products: An Overview from Farm-To-Fork | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 84da58cb-1158-4af9-930e-4dfd09043a65 | |
| relation.isAuthorOfPublication | 569b90f7-e63a-47f1-b1c1-e68d27c2323e | |
| relation.isAuthorOfPublication.latestForDiscovery | 569b90f7-e63a-47f1-b1c1-e68d27c2323e |
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