Mostrar el registro sencillo del ítem
Estandarización del co-producto caldo de pollo para su valorización a partir de parámetros de calidad en empresa de manufactura de alimentos
dc.contributor.advisor | Sotelo Díaz, Luz Indira | |
dc.contributor.author | Ramos López, Sebastián Camilo | |
dc.date.accessioned | 2021-11-19T13:29:51Z | |
dc.date.available | 2021-11-19T13:29:51Z | |
dc.date.issued | 2021-07-12 | |
dc.identifier.uri | http://hdl.handle.net/10818/49218 | |
dc.description | 62 páginas | es_CO |
dc.description.abstract | Estudios recientes han encontrado que al año se desperdician 1,3 billones de toneladas de alimentos aptos para el consumo, equivalentes al 33% de la oferta mundial de alimentos destinados al consumo humano debido a malos hábitos de consumo y distribución, generando problemas económicos, ambientales y sociales.A nivel global, las compañías procesadoras de alimentos contribuyen con el 39% de los desperdicios. Así, este proyecto de maestría se realizó con el fin de contribuir en la reducción del desperdicio de alimentos generado en los procesos de cocción de pechugas de pollo, mediante la estandarización y valorización del co-producto caldo de pollo, a partir de parámetros fisicoquímicos y sensoriales. | es_CO |
dc.format | application/pdf | es_CO |
dc.language.iso | spa | es_CO |
dc.publisher | Universidad de La Sabana | es_CO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Estandarización del co-producto caldo de pollo para su valorización a partir de parámetros de calidad en empresa de manufactura de alimentos | es_CO |
dc.type | master thesis | es_CO |
dc.identifier.local | 282616 | |
dc.identifier.local | TE11346 | |
dc.type.hasVersion | publishedVersion | es_CO |
dc.rights.accessRights | restrictedAccess | es_CO |
dc.subject.armarc | Alimentos | es_CO |
dc.subject.armarc | Hábitos alimenticios | es_CO |
dc.subject.armarc | Desechos alimentarios | es_CO |
dcterms.references | Banasik, A., Kanellopoulos, A., Bloemhof-ruwaard, J. M., & Claassen, G. D. H. (2019). Accounting for uncertainty in eco-ef fi cient agri-food supply chains : A case study for mushroom production planning. Journal of Cleaner Production, 216, 249–256. https://doi.org/10.1016/j.jclepro.2019.01.153 | |
dcterms.references | Besterfield, D. H., Besterfield-Michna, C., Besterfield-Sacre, M., Besterfield, G. H., & Urdhwareshe, H. (2011). Total Quality Management: For Anna University. Pearson Education India | |
dcterms.references | Bilgen, B., & Bloemhof-ruwaard, J. (2017). Planning and scheduling of the make-and-pack dairy production under lifetime uncertainty. 51, 129–144. https://doi.org/10.1016/j.apm.2017.06.002 | |
dcterms.references | Cano Marchal, P., Martínez Gila, D., Gámez García, J., & Gómez Ortega, J. (2018). Stochastic season-wide optimal production planning of virgin olive oil. Journal of Process Control, 72, 64–73. https://doi.org/10.1016/j.jprocont.2018.08.001 | |
dcterms.references | Carter, B. E., Monsivais, P., & Drewnowski, A. (2011). The sensory optimum of chicken broths supplemented with calcium di-glutamate: A possibility for reducing sodium while maintaining taste. Food Quality and Preference, 22(7), 699–703. https://doi.org/10.1016/j.foodqual.2011.05.003 | |
dcterms.references | Cicatiello, C., & Franco, S. (2020). Disclosure and assessment of unrecorded food waste at retail stores. Journal of Retailing and Consumer Services, 52(August 2019), 101932. https://doi.org/10.1016/j.jretconser.2019.101932 | |
dcterms.references | Costantini, M., Ferrante, V., Guarino, M., & Bacenetti, J. (2021). Environmental sustainability assessment of poultry productions through life cycle approaches: A critical review. Trends in Food Science and Technology, 110(October 2020), 201–212. https://doi.org/10.1016/j.tifs.2021.01.086 | |
dcterms.references | Dunkel, A., & Hofmann, T. (2009). Sensory-directed identification of β-alanyl dipeptides as contributors to the thick-sour and white-meaty orosensation induced by chicken broth. Journal of Agricultural and Food Chemistry, 57(21), 9867–9877. | |
dcterms.references | Evans, D., Campbell, H., & Murcott, A. (2012). A brief pre-history of food waste and the social sciences. Sociological Review, 60(SUPPL.2), 5–26. https://doi.org/10.1111/1467-954X.12035 | |
dcterms.references | FAO, IFAD, UNICEF, WFP, W. (2020). Food Security and Nutrition in the World. In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. | |
dcterms.references | FAOSTAT. (2020). Food and Agriculture Organization of the United Nation. (enero 2020). Online statistical database. http://faostat.fao.org. | |
dcterms.references | FAO, (2019). Food Loss and Food Waste. Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/3/ca6030en/ca6030en.pdf, Accessed 26th Aug 2019 | |
dcterms.references | Food and Agriculture Organization of the United Nation. (10 octubre 2019) Alimentación: pasando de pérdidas a soluciones. http://www.fao.org/colombia/noticias/detail events/en/c/1238132/#:~:text=Seg%C3%BAn%20datos%20del%20Depart amento%20Nacional,ra%C3%ADces%20y%20tub%C3%A9rculos%20(25 %25). | |
dcterms.references | US Food and Drug Administration. (2017). Food code 2017. US Food and Drug Administration, College Park, MD. Available at: https://www.fda.gov/media/110822/download/. Accessed, 16/12/2020 | |
dcterms.references | Ferbar Tratar, L., Mojškerc, B., & Toman, A. (2016). Demand forecasting with four-parameter exponential smoothing. Intern. Journal of Production Economics, 181, 162–173. https://doi.org/10.1016/j.ijpe.2016.08.004 | |
dcterms.references | Filimonau, V., & Ermolaev, V. A. (2021). A sleeping giant? Food waste in the foodservice sector of Russia. Journal of Cleaner Production, 297, 126705. https://doi.org/10.1016/j.jclepro.2021.126705 | |
dcterms.references | Garrone, P., Melacini, M., & Perego, A. (2014). Opening the black box of food waste reduction. Food Policy, 46, 129–139. https://doi.org/10.1016/j.foodpol.2014.03.014 | |
dcterms.references | Garrone, P., Melacini, M., Perego, A., & Sert, S. (2016). Reducing food waste in food manufacturing companies. Journal of Cleaner Production, 137, 1076– 1085. https://doi.org/10.1016/j.jclepro.2016.07.145 | |
dcterms.references | Hayabuchi, H., Morita, R., Ohta, M., Nanri, A., Matsumoto, H., Fujitani, S., Yoshida, S., Ito, S., Sakima, A., Takase, H., Kusaka, M., & Tsuchihashi, T. (2020). Validation of preferred salt concentration in soup based on a randomized blinded experiment in multiple regions in Japan—influence of umami (l-glutamate) on saltiness and palatability of low-salt solutions. Hypertension Research, 43(6), 525–533. https://doi.org/10.1038/s41440- 020-0397-1 | |
dcterms.references | ISO. 8586:2012 Sensory analysis — General guidelines for the selection, training and monitoring of selected assessors and expert sensory assessors – Part 4 Selection of assessors. International Organization for Standards, 2012. | |
dcterms.references | Instituto Colombianco de Normas Tecnicas y Certificación. Norma Tecnica Colombiana. NTC 3930. Analisis sensorial. metodología. Ordenación de acuerdo con un criterio especÌfico.( Ranking ). Bogota·: INCONTEC; 2008 | |
dcterms.references | Instituto Colombianco de Normas Tecnicas y Certificación. Análisis sensorial. Metodología. Guía general para el establecimiento de un perfil sensorial. Bogota: ICONTEC: 2020 | |
dcterms.references | Ijassi, W., Ben Rejeb, H., & Zwolinski, P. (2021). Environmental Impact Allocation of Agri-food Co-products. Procedia CIRP, 98, 252–257. https://doi.org/10.1016/j.procir.2021.01.039 | |
dcterms.references | Jungmeier G, Werner F, Jarnehammar A, Hohenthal C, Richter K (2002). Allocation in LCA of Wood-based Products Experiences of Cost Action E9. The International Journal of Life Cycle Assessment,7(6):369- 375. | |
dcterms.references | Jurado, J. M., Alcázar, A., Muñiz-Valencia, R., Ceballos-Magaña, S. G., & Raposo, F. (2017). Some practical considerations for linearity assessment of calibration curves as function of concentration levels according to the fitness-for-purpose approach. Talanta, 172(March), 221–229. https://doi.org/10.1016/j.talanta.2017.05.049 | |
dcterms.references | Kummu M, de Moel H, Porkka M, Siebert S, Varis O, Ward PJ (2012). Lost food, wasted resources: global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use. Sci Total Environ;438:477–89. | |
dcterms.references | Li, B., Yin, T., Udugama, I. A., Dong, S. L., Yu, W., Huang, Y. F., & Young, B. (2020). Food waste and the embedded phosphorus footprint in China. Journal of Cleaner Production, 252, 119909. https://doi.org/10.1016/j.jclepro.2019.119909 | |
dcterms.references | Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Su, G., & Qu, H. (2020). High throughput sequencing with the preselection of markers is a good alternative to SNP chips for genomic prediction in broilers. Frontiers in Genetics, 11, 108. | |
dcterms.references | Lorido, Laura, Ventanas, Sonia, Akcan, Tolga, & Est´evez, Mario (2016). Effect of protein oxidation on the impaired quality of dry-cured loins produced from frozen pork meat. Food Chemistry, 196, 1310–1314. | |
dcterms.references | Martin-Rios, C., Demen-Meier, C., Gössling, S., & Cornuz, C. (2018). Food waste management innovations in the foodservice industry. Waste Management, 79, 196–206. https://doi.org/10.1016/j.wasman.2018.07.033 | |
dcterms.references | Montecinos, J., Ouhimmou, M., Chauhan, S., & Paquet, M. (2018). Forecasting multiple waste collecting sites for the agro-food industry. Journal of Cleaner Production, 187, 932–939. https://doi.org/10.1016/j.jclepro.2018.03.127 | |
dcterms.references | Papargyropoulou, E., Wright, N., Lozano, R., Steinberger, J., Padfield, R., & Ujang, Z. (2016). Conceptual framework for the study of food waste generation and prevention in the hospitality sector. Waste Management, 49, 326–336. https://doi.org/10.1016/j.wasman.2016.01.017 | |
dcterms.references | Poças Ribeiro, A., Rok, J., Harmsen, R., Rosales Carreón, J., & Worrell, E. (2019). Food waste in an alternative food network – A case-study. Resources, Conservation and Recycling, 149(November 2018), 210–219. https://doi.org/10.1016/j.resconrec.2019.05.029 | |
dcterms.references | Qi, J., Zhang, W., Xu, Y., Xie, X., Xiong, G., Xu, X., Zhou, G., & Ye, M. (2021). Enhanced flavor strength of broth prepared from chicken following short term frozen storage. Food Chemistry, 356(July 2020), 129678. https://doi.org/10.1016/j.foodchem.2021.129678 | |
dcterms.references | Qi, Jun, Xu, Ying, Xie, Xiao-fei, Zhang, Wen-wen, Wang, Hu-hu, Xu, Xing-lian, & Xiong, Guo-yuan (2020). Gelatin enhances the flavor of chicken broth: A perspective on the ability of emulsions to bind volatile compounds. Food Chemistry, 333, 127463. | |
dcterms.references | Qi, Jun, Liu, Deng-yong, Zhou, Guang-hong, & Xu, Xing-lian (2017). Characteristic flavor of traditional soup made by stewing Chinese yellow feather chickens. Journal of Food Science, 82(9), 2031–2040. | |
dcterms.references | RedCorn, R., Fatemi, S., & Engelberth, A. S. (2018). Comparing End-Use Potential for Industrial Food-Waste Sources. Engineering, 4(3), 371–380. https://doi.org/10.1016/j.eng.2018.05.010 | |
dcterms.references | Rostaing, H., Ziegelbaum, H., Boutin, E., Rogeaux, M., Rostaing, H., Ziegelbaum, H., Boutin, E., Rogeaux, M., & De, L. Q. A. (2013). Analyse de commentaires libres par la technique des réseaux de segments To cite this version : HAL Id : sic _ 00827215. | |
dcterms.references | UNSDG (2020),United Nations’ Sustainable DevelopmentGoals. Sustainable Development Goal 12. Sustainable Development, Available from: https://sustainabledevelopment.un.org/sdg12, Accessed 21st Nov 2020 | |
dcterms.references | Shukla, M., Jharkharia, S., Methods, Q., & Management, O. (n.d.). Applicability of ARIMA Models in Wholesale Vegetable Market: An Investigation | |
dcterms.references | Symoneaux, R., Galmarini, M. V., & Mehinagic, E. (2012). Comment analysis of consumer’s likes and dislikes as an alternative tool to preference mapping. A case study on apples. Food Quality and Preference, 24(1), 59–66. https://doi.org/10.1016/j.foodqual.2011.08.013 | |
thesis.degree.discipline | Facultad de Ingeniería | es_CO |
thesis.degree.level | Maestría en Diseño y Gestión de Procesos | es_CO |
thesis.degree.name | Magíster en Diseño y Gestión de Procesos | es_CO |