This work presents an extensive, comparative study of the gamma and electron radiation effects on the behaviour of femtosecond laser-inscribed fibre Bragg gratings (FBGs) using the point-by-point and plane-by-plane inscription methods. The FBGs were inscribed in standard telecommunication single mode silica fibre (SMF28) and exposed to a total accumulated radiation dose of 15 kGy for both gamma and electron radiation. The gratings' spectra were measured and analysed before and after the exposure to radiation, with complementary material characterisation using Fourier transform infrared (FTIR) spectroscopy. Changes in the response of the FBGs' temperature coefficients were analysed on exposure to the different types of radiation, and we consider which of the two inscription methods result in gratings that are more robust in such harsh environments. Moreover, we used the FTIR spectroscopy to locate which chemical bonds are responsible for the changes on temperature coefficients and which are related with the optical characteristics of the FBGs.
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http://dx.doi.org/10.3390/s21248379 | DOI Listing |
BMJ Open
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Department of Gynecology and Obstetrics, Angers University Hospital, Angers, France.
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View Article and Find Full Text PDFActa Chir Belg
December 2024
Department of History of Medicine, School of Persian Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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View Article and Find Full Text PDFIn this paper, fiber Bragg gratings (FBGs) are inscribed in Tm-doped fluorotellurite glass fiber (TDFTF) and applied to construction of a 2.3-µm all-fiber laser. The FBGs with a center wavelength of 2.
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View Article and Find Full Text PDFInt J Mol Sci
November 2024
Medical Oncology Department, Catalan Institut of Oncology (ICO)-Badalona, B-ARGO (Badalona Applied Research Group in Oncology) and IGTP (Health Research Institute Germans Trias i Pujol), Universitat Autònoma de Barcelona, 08916 Badalona, Spain.
Triple-negative breast cancer (TNBC) is a highly aggressive subtype with limited therapeutic options, leading to higher relapse rates and mortality. Identifying prognostic biomarkers like caveolin-1 (CAV1) is crucial for personalized treatment. CAV1 influences tumor progression and chemotherapy response, particularly through its interaction with the tumor microenvironment (TME) and cancer metabolism.
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