INSTRUMENTAL PLATFORM FOR METABOLOMICS OF THE UNIVERSITY OF HUELVA (Q3212877): Difference between revisions

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Property / budget
 
448,042.46 Euro
Amount448,042.46 Euro
UnitEuro
Property / budget: 448,042.46 Euro / rank
 
Normal rank
Property / co-financing rate
 
80.0 percent
Amount80.0 percent
Unitpercent
Property / co-financing rate: 80.0 percent / rank
 
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Property / EU contribution
 
358,433.97 Euro
Amount358,433.97 Euro
UnitEuro
Property / EU contribution: 358,433.97 Euro / rank
 
Normal rank

Revision as of 09:06, 21 October 2021

Project Q3212877 in Spain
Language Label Description Also known as
English
INSTRUMENTAL PLATFORM FOR METABOLOMICS OF THE UNIVERSITY OF HUELVA
Project Q3212877 in Spain

    Statements

    country
    Spain
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    EU contribution
    358,433.97 Euro
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    budget
    448,042.46 Euro
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    co-financing rate
    80.0 percent
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    start time
    1 January 2016
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    end time
    31 December 2018
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    beneficiary name (string)
    UNIVERSIDAD DE HUELVA
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    coordinate location

    37°15'27.32"N, 6°56'54.56"W
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    postal code
    21041
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    summary
    El proyecto dotará a la Universidad de Huelva de un equipamiento para el abordaje metabolómico de las líneas de investigación asociadas a 20 proyectos de investigación nacionales y europeos gestionados por los grupos que participan o apoyan la propuesta (8 en total), centrados en el medio ambiente, los alimentos, la producción agroalimentaria y la salud. En el consorcio participan dos centros de investigación de la Universidad de Huelva (CYSMA y CIDERTA), el Campus de Excelencia Internacional del Mar (CEIMAR/UHU), y el Centro Tecnológico ADESVA (Junta de Andalucía). Se han fijado las líneas estratégicas fundamentales para el uso y aplicación de esta plataforma que combina la capacidad de una unidad citométrica y de clasificación celular (UCCS) para caracterizar cultivos de microalgas, microorganismos y líneas celulares, con el potencial del sistema instrumental UHPLC-QqQ-TOF-MS para realizar estudios metabolómicos en extractos obtenidos a partir de estos cultivos, caracterización de perfiles metabolómicos e identificación de metabolitos en muestras de suero, extractos de tejidos de bioindicadores medioambientales, muestras de alimentos, de humanos y de productos agroalimentarios. Todo ello va a permitir el estudio del medio ambiente, la producción de bioenergía y biopolímeros, lípidos a partir de microalgas, diagnosis precoz de patologías ( cáncer de pulmón, Alzheimer), salud laboral y pública, nutrición durante el embarazo y otras aplicaciones de fuerte impacto social. (Spanish)
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    The project will equip the University of Huelva with equipment for the metabolomic approach of the research lines associated with 20 national and European research projects managed by the groups that participate or support the proposal (8 in total), focusing on the environment, food, agri-food production and health. The consortium involves two research centers from the University of Huelva (CYSMA and CIDERTA), the Campus of International Excellence of the Sea (CEIMAR/UHU), and the Adesva Technological Centre (Junta de Andalucía). The fundamental strategic lines for the use and application of this platform have been established, which combines the ability of a cell classification and cytometric unit (UCCS) to characterise cultures of microalgae, microorganisms and cell lines, with the potential of the UHPLC-QqQ-TOF-MS instrumental system to carry out metabolomic studies in extracts obtained from these cultures, characterisation of metabolic profiles and identification of metabolites in serum samples, tissue extracts from environmental bioindicators, samples of food, humans and agro-food products. All this will allow the study of the environment, the production of bioenergy and biopolymers, lipids from microalgae, early diagnosis of pathologies (lung cancer, Alzheimer’s), occupational and public health, nutrition during pregnancy and other applications of strong social impact. (English)
    point in time
    14 October 2021
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    location (string)
    Huelva
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    Identifiers

    Spanish Kohesio ID
    UNHU15-CE-3140
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