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Universitat Politècnica de València
Country: Spain
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378 Projects, page 1 of 76
  • Funder: EC Project Code: 895526
    Overall Budget: 160,932 EURFunder Contribution: 160,932 EUR

    Contaminant events disrupt stability and resilience of increasingly vulnerable soil and groundwater. Identifying where, when and how much contaminant spill is released into aquifers is critical for strengthening the competitiveness of EU in risk-reduction management, and Forensic Hydrogeology, a growing discipline that applies scientific knowledge in legal resolutions. Existing model solutions estimate the origin and affected area, but numerical challenges impose too restrictive assumptions to properly account for multiple sources or suitable aquifer characterization. The scientific goal of FORENSHYD is to develop a novel, flexible and reliable ensemble Kalman filter data assimilation method (EnKF) for the optimal identification of contaminant sources and occurrence of reactive pollutants in near-actual conditions. Latest assessed developments of Dr. Gómez-Hernández set EnKF as an excellent optimization tool for the simultaneous identification of the spatial variability of conductivities, the location, and the release function of polluting sources. A step toward coupling the algorithm with machine learning techniques may overcome ill-posed solutions, stemmed from nonlinearities between parameters and variables in the state equation, to solve kinetic-controlled reactive transport problems and to optimize data collection in groundwater observation network systems, a topic of renewal interest in administration and industrial sector. We test spurious effects of aquifer heterogeneity, reactive parameters, and initial/boundary conditions in synthetic scenarios, sandbox experiments and two demonstration sites. Transfer of this novel technology in well-reported, practical and universal open source packages will reinforce the leadership and employability in the global market of intersectorial and interdisciplinary European stakeholders. The societal value of FORENSHYD is to improve mitigation strategies, and clarify environmental liability, in liaises with Horizon 2020.

  • Funder: EC Project Code: 101103902
    Funder Contribution: 181,153 EUR

    Breast cancer is the most common cancer globally, accounting for 12% of all new annual cancer cases worldwide, according to the World Health Organization, and early detection is a key issue as survival improves when cancer is detected early. NanoNIR will develop a novel fluorescence-based nanotool for the detection and quantification of miR-99a-5p in liquid biopsy samples from breast cancer patients. The nanotool will consist of upconverting nanoparticles (UCNPs) decorated with aptamers and small gold nanoparticles (AuNPs). UCNPs are inorganic nanocrystals that convert near-infrared (NIR) light into shorter wavelength emissions and exhibit narrow emission bandwidths and large anti-Stokes shifts (λex = 980 nm, λem = 540, 655 nm). These photophysical properties make them excellent candidates for fluorescence biosensing allowing for effective sensing with diminished background noise in a complicated detection system. The AuNPs have a large extinction coefficient and a broad UV–Vis absorption band (500 – 580 nm) making them excellent fluorescence quenching agents. The combination of UCNPs (donors) with AuNPs (acceptors) linked through complementary aptamers will result in a fluorescence emission quenching of UCNPs at 540 nm. Following the detection of miR-99a-5p by its complementary aptamer sequence, AuNPs will be displaced from the UCNPs surface restoring the luminescence of UCNPs at 540 nm with an intensity-dependent to miRNA-9a-5p concentration allowing the detection of miR-99a-5p in real samples. Additionally, the luminescence signal at 655 nm could be used for the ratiometric measurements.

  • Funder: EC Project Code: 101059267
    Funder Contribution: 181,153 EUR

    Cancer is still a major societal challenge, as reflected by the Horizon's Europe mission on cancer and the Europe's Beating Cancer Plan. In particular, despite great advances in cancer treatment in recent decades, glioblastoma multiform (GBM) - the most common malignant brain tumor - stills remains without an effective cure and patients die in a few months. Around 220000 people die annually worldwide from GBM and its incidence is expected to increase in Europe due to its aging population. The standard treatment relies on the systemic administration of chemotherapeutics, which has limited efficacy and causes side effects. To overcome current limitations, TherACCage will develop artificial cells based on drug-loaded molecular cages as advanced nanosystems to tackle GBM. Such artificial cells will be equipped with processing machinery resulting in advanced biocompatible nanosystems with the ability to recognize biomarkers of the GBM microenvironment and induce responsive drug delivery in situ. The project combines unique expertise of the main host lab (molecular cages: cage-like molecular architectures with an internal cavity), the candidate (nanotechnology and artificial cells) and a secondary lab (evaluation of novel anticancer therapies) to ensure fulfillment of objectives. In a first stage, the fellow will be trained in advanced organic chemistry for the synthesis of degradable drug-loaded molecular cages. In a second stage, the assembly of artificial cells with molecular cages and their in vitro evaluation will be carried out. Finally, the fellow will carry out a secondment in a biological lab for the pre-clinical evaluation of the developed nanosystems. Importantly, the project will also allow the fellow to gain experience in patenting and tech transfer. Altogether, TheACCage will develop a new therapeutic technology and provide the fellow with complementary scientific and transferable skills with a significant impact toward an independent research career.

  • Funder: EC Project Code: 253990
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