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一种用于直接无血浆氨基酸分析和多癌筛查的新型3D柔性多孔表面增强拉曼光谱平台。

A novel 3D flexible porous SERS platform for direct plasma-free amino acid profiling and multi-cancer screening.

作者信息

Ge Houyang, Chen Qizhen, Chen Sheng, Li Cong, Gao Xingen, Fu Wanqiang, Zhang Hongyi, Wang Fuqiang, Gong Xianqiong, Wu Junzheng, Lin Juqiang

机构信息

School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361024, Fujian, China.

Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, 361004, Fujian, China.

出版信息

Biosens Bioelectron. 2025 Nov 1;287:117746. doi: 10.1016/j.bios.2025.117746. Epub 2025 Jul 2.

Abstract

Plasma-free amino acid (PFAA) profiling is crucial for monitoring and evaluating cancer progression. However, there remains a lack of sensitive, simple, and direct methods for rapid PFAA detection. In this study, we developed a vapor-deposited 3D flexible porous structure named FPS Ag - Coated serving as a high-performance surface-enhanced Raman spectroscopy (SERS) platform for ultrasensitive detection of micro PFAAs (10 M). The surface of the platform contains abundant hydroxyl functional groups, which not only confer exceptional flexibility but also significantly minimize background signal interference. The 3D FPS architecture provides densely packed hotspots for Raman signal enhancement while demonstrating excellent cost-effectiveness and scalability for mass production. We systematically evaluated the platform's detection capability using four representative amino acids: fluorescent amino acids (L-tyrosine and L-tryptophan), weakly fluorescent amino acid (L-phenylalanine), and non-fluorescent amino acid (L-serine). Across a concentration range of 10 to 10 M, the platform effectively measured characteristic SERS signals with linear correlation, enabling real-time monitoring and quantitative analysis of PFAAs. When applied to clinical plasma samples from cancer patients, the platform successfully identified PFAAs-specific SERS signal. Subsequent principal component analysis (PCA) achieved discrimination between different cancer types and healthy volunteers with an accuracy exceeding 83.3 %. This work presents a high-performance SERS platform for PFAA recognition, offering a highly adaptable flexible material that could facilitate the clinical translation of SERS-based diagnostics.

摘要

无血浆氨基酸(PFAA)谱分析对于监测和评估癌症进展至关重要。然而,目前仍缺乏灵敏、简单且直接的快速PFAA检测方法。在本研究中,我们开发了一种名为FPS Ag - Coated的气相沉积三维柔性多孔结构,作为用于超灵敏检测微量PFAA(10⁻⁹ M)的高性能表面增强拉曼光谱(SERS)平台。该平台表面含有丰富的羟基官能团,不仅赋予其卓越的柔韧性,还能显著减少背景信号干扰。三维FPS结构为拉曼信号增强提供了密集排列的热点,同时在大规模生产中展现出出色的成本效益和可扩展性。我们使用四种代表性氨基酸系统评估了该平台的检测能力:荧光氨基酸(L - 酪氨酸和L - 色氨酸)、弱荧光氨基酸(L - 苯丙氨酸)和非荧光氨基酸(L - 丝氨酸)。在10⁻¹²至10⁻⁹ M的浓度范围内,该平台有效地测量了具有线性相关性的特征SERS信号,能够对PFAA进行实时监测和定量分析。当应用于癌症患者的临床血浆样本时,该平台成功识别出PFAA特异性SERS信号。随后的主成分分析(PCA)实现了不同癌症类型与健康志愿者之间的区分,准确率超过83.3%。这项工作展示了一种用于PFAA识别的高性能SERS平台,提供了一种高度适应性的柔性材料,有助于基于SERS的诊断技术的临床转化。

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