3 research outputs found
Potential of histamine-degrading microorganisms and diamine oxidase (DAO) for the reduction of histamine accumulation along the cheese ripening process
Lentilactobacillus parabuchneri is the main bacteria responsible for the accumulation of histamine in cheese. The goal of this study was to assess the efficiency of potential histamine-degrading microbial strains or, alternatively, the action of the diamine oxidase (DAO) enzyme in the reduction of histamine accumulation along the ripening process in cheese. A total of 8 cheese variants of cow milk cheese were manufactured, all of them containing L. parabuchneri Deutsche Sammlung von Mikroorganismen 5987 (except for the negative control cheese variant) along with histamine–degrading strains (Lacticaseibacillus casei 4a and 18b; Lactobacillus delbrueckii subsp. bulgaricus Colección Española de Cultivos Tipo (CECT) 4005 and Streptococcus salivarius subsp. thermophilus CECT 7207; two commercial yogurt starter cultures; or Debaryomyces hansenii), or DAO enzyme, tested in each cheese variant. Histamine was quantified along 100 days of cheese ripening. All the degrading measures tested significantly reduced the concentration of histamine. The highest degree of degradation was observed in the cheese variant containing D. hansenii, where the histamine content decreased up to 45.32 %. Cheese variants with L. casei, or L. bulgaricus and S. thermophilus strains, also decreased in terms of histamine content by 43.05 % and 42.31 %, respectively. No significant physicochemical changes (weight, pH, water activity, color, or texture) were observed as a consequence of the addition of potential histamine-degrading adjunct cultures or DAO in cheeses. However, the addition of histamine-degrading microorganisms was associated with a particular, not unpleasant aroma. Altogether, these results suggest that the use of certain histamine-degrading microorganisms could be proposed as a suitable measure in order to decrease the amount of histamine accumulated in cheeses. © 2022 The Author
Evaluation of the stability of rocky slopes using 3D point clouds obtained from an unmanned aerial vehicle
[ES] En este trabajo se describe una metodología propuesta para la identificación semiautomática de discontinuidades y el posterior análisis cinemático y de estabilidad a través de su aplicación a una trinchera excavada en roca de una línea de ferrocarril. La adquisición de imágenes se ha llevado a cabo mediante un vehículo aéreo no tripulado de seis rotores para su posterior restitución fotogramétrica a través de la técnica digital Structure from Motion (SfM) mediante el programa Agisoft Metashape que proporciona una nube de puntos 3D. A partir de esta nube de puntos, se han identificado cuatro familias de discontinuidades (J1, J2, J3 y J4) que afectan al talud haciendo uso del programa de código abierto Discontinuity Set Extractor (DSE). Finalmente, se han llevado a cabo análisis cinemáticos y de estabilidad de las posibles roturas de bloques a favor de las discontinuidades identificadas en el talud. Los resultados muestran tres potenciales roturas por cuña y una plana que han sido validadas cualitativamente mediante el análisis de la geometría de las nubes de puntos.[EN] In this work, a methodology proposed for the semiautomatic identification of discontinuities and the later kinematic and stability analyses is described through its application to a rocky railway line cutting. Image acquisition has been performed using a six-rotors unmanned aerial vehicle for their subsequent photogrammetric restitution by means of the digital technique Structure from Motion (SfM) by means of the software Agisoft Metashape that provides a 3D point cloud. From this 3D point cloud, four discontinuity sets (J1, J2, J3 and J4) affecting the cutting have been identified using the open source software Discontinuity Set Extractor (DSE). Finally, kinematic and stability analyses of the potential block failures controlled by the discontinuities identified in the cutting. The results show three potential wedge and planar failures that have been qualitatively validated trough the geometric analysis of the 3D point cloud.Este trabajo se ha realizado en el marco del proyecto MOMIT, recibiendo financiación de Shift2Rail Joint Undertaking perteneciente al programa de investigación e innovación H2020 de la Unión Europea a través de la subvención No 777630, del proyecto de la Universidad de Alicante GRE18-05 y del proyecto TEC2017-85244-C2-1-P del Ministerio de Economía y Competitividad (MINECO) y EU FEDER. Los autores quieren dar las gracias a José Miguel García Torres (Geotor S.L.) por la fotografía del UAV incluida en la Figura 1.Tomás, R.; Riquelme, A.; Cano, M.; Pastor, JL.; Pagán, JI.; Asensio, JL.; Ruffo, M. (2020). Evaluación de la estabilidad de taludes rocosos a partir de nubes de puntos 3D obtenidas con un vehículo aéreo no tripulado. 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