3D Optical Coherence Thermometry Using Polymeric Nanogels
Autor: | Muñoz Ortiz, Tamara, Alayeto, Idoia, Lifante Cañavate, José, Ortgies, Dirk H., Marin, Riccardo, Martín Rodríguez, Emma, Iglesias de la Cruz, María del Carmen, Lifante Pedrola, Ginés, Rubio Retama, Jorge, Jaque García, Daniel |
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Přispěvatelé: | UAM. Departamento de Física de Materiales, UAM. Departamento de Fisiología |
Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Popis: | In nanothermometry, the use of nanoparticles as thermal probes enables remote and minimally invasive sensing. In the biomedical context, nanothermometry has emerged as a powerful tool where traditional approaches, like infrared thermal sensing and contact thermometers, fall short. Despite the strides of this technology in preclinical settings, nanothermometry is not mature enough to be translated to the bedside. This is due to two major hurdles: the inability to perform 3D thermal imaging and the requirement for tools that are readily available in the clinics. This work simultaneously overcomes both limitations by proposing the technology of optical coherence thermometry (OCTh). This is achieved by combining thermoresponsive polymeric nanogels and optical coherence tomography (OCT)—a 3D imaging technology routinely used in clinical practice. The volume phase transition of the thermoresponsive nanogels causes marked changes in their refractive index, making them temperature-sensitive OCT contrast agents. The ability of OCTh to provide 3D thermal images is demonstrated in tissue phantoms subjected to photothermal processes, and its reliability is corroborated by comparing experimental results with numerical simulations. The results included in this work set credible foundations for the implementation of nanothermometry in the form of OCTh in clinical practice This work was financed by the Spanish Ministerio de Innovación y Ciencia under project NANONERV PID2019-106211RB-I00, NANOGRANZ PID2021-123318OB-I00, PID2020-118878RB-I00, RYC2021-032913-I, and TED2021-132317-I00B and under project COLUMNAS (PID2019- 110632RB-I00), by the Instituto de Salud Carlos III (PI19/00565), by the Comunidad Autónoma de Madrid (S2022/BMD-7403 RENIM-CM and SI3/PJI/2021-00211) and co-financed by the European structural and investment fund. Additional funding was provided by COST action CA17140, supported by COST (European Cooperation in Science and Technology) and the Fundación para la Investigación Biomédica del Hospital Universitario Ramón y Cajal (IMP21_A4 (2021/0427)) |
Databáze: | OpenAIRE |
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