Preparation method and application of MXene-based drug loading system

Abstract

The invention provides a preparation method of an MXene-based drug delivery system integrating CT radiography, photo-thermal therapy and drug sustained release. The preparation method specifically comprises the following steps: preparing an MAX-phase ceramic precursor by an excessive Al method; doping elements by a molten salt method and synthesizing an MXene material; a drug is loaded on the MXene material, and due to the photo-thermal property of the MXene material, a dual-combined treatment method of simultaneously carrying out drug treatment and photo-thermal treatment can be realized. The MXene material prepared by the invention has an antioxidant property and is easy to store, the doped elements can enhance the CT development effect, an individualized precise treatment mode of preoperative diagnosis, intraoperative tracking and postoperative evaluation of diseases can be realized at the same time, and wounds caused by examination and treatment to patients are reduced.

Description

technical field [0001] The invention relates to the technical field of nanomaterials and the field of biological nanomedicine. Background technique [0002] Computed tomography (Computer tomography, CT) is one of the most commonly used methods for clinical emission image detection. It has many advantages, such as high spatial and temporal resolution, and short scanning time. Compared with MRI, CT can reduce motion The influence of artifacts on images provides an important method for the early diagnosis of various diseases, such as malignant tumors and atherosclerosis. Due to the small difference in the X-ray dissipation capacity of human tissue and blood, the low discrimination between the lesion and the surrounding normal matrix makes it difficult to distinguish the lesion boundary in CT images, which in turn affects the accurate identification of the lesion range, making it difficult to treat the disease accurately. . Therefore, when it is necessary to obtain accurate in...

AI Technical Summary

Problems solved by technology

Due to the small difference in the X-ray dissipation capacity of human tissue and blood, the low discrimination between the lesion and the surrounding normal matrix makes it difficult to distinguish the lesion boundary in CT images, which in turn affects the accurate identification of the lesion range, making it difficult to treat the disease accurately.

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