Cai Peng, Xu Tiantian, Wei Hangan, He Huili, Li Fu
Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), Wuxi University, Wuxi 214105, China.
Sino-Belgian Joint Laboratory of Geo-Information, 9000 Gent, Belgium.
Sensors (Basel). 2025 Aug 22;25(17):5221. doi: 10.3390/s25175221.
Brain natriuretic peptide (BNP) is an important biomarker for the diagnosis and prediction of chronic heart failure (CHF). Aiming at the problems of the low sensitivity and poor portability of traditional BNP detection methods, this study proposes a Surface-enhanced Raman-scattering (SERS) fiber-optic sensor based on a multimode fiber (MMF)-no core fiber (NCF) structure. The sensor achieves BNP detection by significantly amplifying the Raman signal of the toluidine blue (TB) marker through the synergistic effect of NCF's unique optical transmission modes and localized surface plasmon resonance (LSPR). To optimize the sensor performance, we first investigated the effect of the NCF length on the Raman signal, using Rhodamine 6G (R6G), and determined the optimal structural parameters. Combined with the microfluidic chip integration technology, the antibody-BNP-antibody sandwich structure was adopted, and TB was used as the Raman label to realize the quantitative detection of BNP. Experimental results demonstrate that the detection limit of the sensor is lower than the clinical diagnostic threshold and exhibits stability. The sensor sensitivity can be adjusted by regulating the laser power. With its stability and high portability, this sensor provides a new solution for the early diagnosis of heart failure and demonstrates broad application prospects in biomarker detection.
脑钠肽（BNP）是诊断和预测慢性心力衰竭（CHF）的重要生物标志物。针对传统BNP检测方法灵敏度低、便携性差的问题，本研究提出了一种基于多模光纤（MMF）-无芯光纤（NCF）结构的表面增强拉曼散射（SERS）光纤传感器。该传感器通过NCF独特的光传输模式与局域表面等离子体共振（LSPR）的协同效应，显著放大甲苯胺蓝（TB）标记物的拉曼信号，从而实现BNP检测。为优化传感器性能，我们首先使用罗丹明6G（R6G）研究了NCF长度对拉曼信号的影响，并确定了最佳结构参数。结合微流控芯片集成技术，采用抗体-BNP-抗体夹心结构，以TB作为拉曼标记物，实现了BNP的定量检测。实验结果表明，该传感器的检测限低于临床诊断阈值，且具有稳定性。通过调节激光功率可调整传感器灵敏度。该传感器具有稳定性和高便携性，为心力衰竭的早期诊断提供了新的解决方案，在生物标志物检测方面展现出广阔的应用前景。
