A bifunctional capillary sers sensor and a preparation method and application thereof

By designing a dual-function capillary SERS sensor, non-invasive collection and simultaneous detection of micro-liter specific tears were achieved, solving the sensitivity and rapid screening problems of micro-tear detection in existing technologies and providing an efficient diagnostic method for ophthalmic diseases.

CN122409616APending Publication Date: 2026-07-17BEIJING UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient for the direct collection and rapid analysis of microliter-sized tears, especially in the immediate diagnosis and rapid screening of ophthalmic diseases, where they suffer from insufficient sensitivity and sample utilization. Traditional methods are complex and time-consuming.

Method used

A dual-function capillary SERS sensor was designed, employing a flexible sampling head and a capillary solid-phase carrier. The inner wall is uniformly distributed with a layer of gold nanoparticles and a gold nanoparticle/4-MBA composite layer, enabling non-invasive collection of tears and simultaneous acquisition of Raman fingerprint spectrum and tear pH response. Changes in 4-MBA characteristic signals are detected to reflect ocular lesions.

Benefits of technology

It enables dual detection of minute amounts of tears, with high accuracy and simple operation, making it suitable for rapid in-situ screening in clinical settings. It features non-invasive sampling, rapid response, and high sensitivity, making it suitable for immediate diagnosis of ophthalmic diseases.

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Abstract

本发明涉及毛细管SERS传感技术领域,具体涉及一种双功能毛细管SERS传感器及其制备方法与应用。该传感器包括依次连接的柔性采样头、毛细管固相载体和手持器,固相载体内壁一端分布有致密的纳米金颗粒层,另一端为纳米金 / 4‑MBA复合层。通过采样头采集样本,泪液在毛细作用下自动吸入毛细管内部,依次流经泪液图谱识别区与pH响应区域。由于pH变化会引发4‑MBA的SERS信号发生规律性响应,通过检测4‑MBA特征信号位置与强度的变化,可提示眼部病变;与此同时获取泪液SERS图谱,利用眼部疾病患者与健康人群之间的光谱特征差异,进一步反映眼部状态是否异常,从而实现了对微升级泪液的无创、原位、准确且快速分析。
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