RESUMEN
The discovery of graphene ignites a great deal of interest in the research and advancement of two-dimensional (2D) layered materials. Within it, semiconducting transition metal dichalcogenides (TMDCs) are highly regarded due to their exceptional electrical and optoelectronic properties. Tungsten disulfide (WS2) is a TMDC with intriguing properties, such as biocompatibility, tunable bandgap, and outstanding photoelectric characteristics. These features make it a potential candidate for chemical sensing, biosensing, and tumor therapy. Despite the numerous reviews on the synthesis and application of TMDCs in the biomedical field, no comprehensive study still summarizes and unifies the research trends of WS2 from synthesis to biomedical applications. Therefore, this review aims to present a complete and thorough analysis of the current research trends in WS2 across several biomedical domains, including biosensing and nanomedicine, covering antibacterial applications, tissue engineering, drug delivery, and anticancer treatments. Finally, this review also discusses the potential opportunities and obstacles associated with WS2 to deliver a new outlook for advancing its progress in biomedical research.
RESUMEN
This work deals with thermal aspect of the microwaves processing by applying the dielectric effect of attenuation inversion of electromagnetic wave as a solution for uniform treatment. Interest is devoted to the description of electromagnetic and chemical thermal contributions present during microwave heating of a thermosat material. An analytic methods was complemented with experimental data obtained by DSC. The chemical heat contribution is modeled by two methods: analytical and an experimental. The composite was characterized in terms of the reaction progress. The coupled electromagnetic, chemical and thermal model show results that can be evaluated from the temperature evolution. There is an strong rise in the temperature in one point, which is due to the non uniformity of the heat-storage capacity along the composite to be treated. The region of validation of the model is also shown.
