A technology for identifying brain glioma boundaries based on Raman spectroscopy
By synthesizing the gold nanoflower structure in situ on MoS2 nanosheets and modifying aptamers, preparing SERS enhanced substrates, combined with machine learning technology, the problem of real-time and rapid diagnosis of brain glioma tissues is solved, and efficient tumor cell proportion detection is achieved, providing real-time navigation reference for surgery.
CN117191759BActive Publication Date: 2025-03-28SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI +1
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Patent Information
- Application Number
- CN202310938622.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-28
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2043-07-28
AI Technical Summary
Technical Problem
The prior art is difficult to achieve real-time rapid diagnosis of brain glioma tissue, resulting in unclear scope of surgical resection and delayed patient treatment.
Method used
Surface-enhanced Raman scattering (SERS) technology combined with machine learning, SERS enhanced substrates were prepared by in-situ synthesis of gold nanoflower structures on MoS2 nanosheets and modified with targetable aptamers to detect the proportion of tumor cells in glioma samples.
Benefits of technology
Real-time rapid diagnosis of brain glioma tissue is achieved, results can be obtained within 2 minutes, clinical diagnosis efficiency is improved, and real-time navigation reference is provided for surgery.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a glioma boundary recognition technology based on Raman spectroscopy, which belongs to the field of tumor diagnosis. The present invention prepares a glioma sensing SERS substrate by in-situ synthesizing a gold nanoflower structure on a molybdenum disulfide (MoS2) nanosheet and combining three aptamers that can target glioma cells. Machine learning is used to determine the proportion of tumor cells in glioma resection fragment samples, thereby providing a reference and calibration basis for intraoperative real-time navigation. The method has the advantages of being fast, accurate and highly sensitive. The detection technology disclosed by the present invention can obtain results within 2 minutes, greatly improve the efficiency of clinical diagnosis, and realize intraoperative molecular pathology diagnosis, which has great clinical significance.
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