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Sensing nitriles with THz spectroscopy of urine vapours from cancers patients subject to chemotherapy

  1. 1.
    0564302 - FZÚ 2023 RIV DE eng J - Článek v odborném periodiku
    Vaks, V. - Anfertev, V. - Chernyaeva, M. - Domracheva, E. - Yablokov, A. - Maslennikova, A. - Zhelesnyak, A. - Baranov, A. - Schevchenko, Yuliia - Pereira, Mauro Fernandes
    Sensing nitriles with THz spectroscopy of urine vapours from cancers patients subject to chemotherapy.
    Scientific Reports. Roč. 12, č. 1 (2022), č. článku 18117. ISSN 2045-2322. E-ISSN 2045-2322
    GRANT EU: European Commission(XE) 832876 - aqua3S
    Institucionální podpora: RVO:68378271
    Klíčová slova: superlattice * THz spectroscopy * chemotherapy * detection
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
    Impakt faktor: 4.6, rok: 2022
    Způsob publikování: Open access

    A THz nonstationary high-resolution spectrometer based on semiconductor superlattice multipliers is applied to investigate the dynamics of urine composition for cancer patients treated with chemotherapy. The molecular urine composition of healthy volunteers and cancer patients was compared and contrasted. We have found a set of nitriles that either appeared after chemotherapy or increased in content, which are expected as a result of bio-chemical damage to the liver. While no damage can be detected at this stage by existing clinical methods, the identified nitriles are candidates for further large-scale systematic testing towards markers for nephrotoxicity of chemotherapy at an early stage of the treatment, when conventional diagnostics cannot identify substantial organ damage. Comparing the metabolite concentration dynamics with side effects during chemotherapy might then help individuate patients prone to severe complications and correct the treatment. Our devices are game-changers for THz spectroscopy of liquids: they allow spanning four different frequency ranges for a general evaluation of most substances found in the liquid and selecting a spectral interval that bypasses the strong absorption lines from substances such as water and ammonia, which may otherwise mask the detection of the target metabolites.
    Trvalý link: https://hdl.handle.net/11104/0336442

     
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