基于拉曼光谱的胸部肿瘤外泌体检测方法

By utilizing adaptive filtering and gain processing techniques in the detection of thoracic tumor exosomes, the problem of high false positive rate in existing technologies has been solved, and more accurate detection of tumor exosome biomarkers has been achieved.

CN122030895BActive Publication Date: 2026-07-17SHANXI CANCER HOSPITAL

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANXI CANCER HOSPITAL
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies have a high misclassification rate in the detection of exosomes in thoracic tumors, especially when the effective signal is difficult to separate from background interference at extremely low exosome concentrations. Surface-enhanced Raman scattering technology introduces false positive peaks, resulting in a high misclassification rate of tumor exosome markers.

Method used

By analyzing multiple pre-acquired noise Raman spectra, the noise Raman spectrum with the smallest difference is determined as the reference Raman spectrum. Adaptive filtering is then performed, and gain processing is applied based on the energy distribution to eliminate false positive peaks and improve detection accuracy.

Benefits of technology

It effectively reduced the misjudgment rate of tumor exosome markers and improved the accuracy and reliability of detection information.

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Abstract

本发明涉及数据处理的技术领域,具体涉及基于拉曼光谱的胸部肿瘤外泌体检测方法。所述方法包括:在预先获取的多个噪声拉曼光谱中,分析患者待检测的原始拉曼光谱与每个噪声拉曼光谱之间的差异,将差异最小的噪声拉曼光谱确定为参考拉曼光谱,其中,所述多个噪声拉曼光谱与多个噪声模式一一对应;根据所述参考拉曼光谱对所述原始拉曼光谱进行自适应滤波,得到初步清洁光谱;根据所述多个噪声拉曼光谱指示的能量分布,对所述初步清洁光谱在多个波数对应的多个光强度进行增益处理,得到目标清洁光谱;分析所述目标清洁光谱以得到标志物检测信息。本发明能有效抑制由于纳米粒子聚集效应所引入的假阳性峰,提升肿瘤外泌体标志物的检测准确率。
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