Wang Mengyuan, Cao Lulu, Zhang Huijuan, Zhang Chuping, Sun Xiaolin, Yuan Yanping, Guo Xinyang, Guo Xiaoran, Zhao Yan, Jiang Yijian, Li Zhanguo, Yan Yinzhou
School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing, 100124, China.
Department of Rheumatology and Immunology, Peking University People's Hospital and Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, 100044, China.
Biosens Bioelectron. 2025 Nov 1;287:117655. doi: 10.1016/j.bios.2025.117655. Epub 2025 Jun 2.
Rheumatoid arthritis (RA) is a serious chronic systemic autoimmune disease leading to joint destruction for progressive disability. Accurate non-invasive diagnosis of RA in the early stages is vital to timely precision treatment. The advancements of surface-enhanced Raman spectroscopy (SERS) in label-free liquid biopsy for noninvasive diagnosis have been witnessed in the past decade. The recently-developed digital SERS (dSERS) further overcomes the spectral intensity fluctuation, strengthening reliability and robustness for quantitative analysis. Here we propose a high-throughput dSERS substrate by fs-laser parallel fabrication utilizing microsphere-generated photonic nanojet (PNJ), by which the nanohole-in-microsphere array (NiMA) is obtained with the minimum diameter of 115 nm and depth of 600 nm. The Au-nanoparticle-coated NiMA possesses high precision in liquid sampling (10 L) and ultralow limit of detection. The discrete nanohole distribution with high homogeneity guarantees the independent acquisition of Raman spectrum for accuracy of Poisson's statistics in a small spectral dataset volume. The NiMA substrate is employed to collect the sera and diagnose by quantitative recognition of three biomarkers (homocitrulline, L-tryptophan and L-citrulline) in sera by dSERS approach. The accuracy of 88.0 %, sensitivity of 92.9 % and specificity of 81.8 % in distinguishing RA patients manifests the feasibility of serum dSERS protocol for clinical early-stage diagnosis.
类风湿性关节炎(RA)是一种严重的慢性全身性自身免疫性疾病,可导致关节破坏,进而造成进行性残疾。在早期对RA进行准确的非侵入性诊断对于及时进行精准治疗至关重要。在过去十年中,表面增强拉曼光谱(SERS)在用于非侵入性诊断的无标记液体活检方面取得了进展。最近开发的数字SERS(dSERS)进一步克服了光谱强度波动问题,增强了定量分析的可靠性和稳健性。在此,我们通过利用微球产生的光子纳米射流(PNJ)的飞秒激光并行制造方法,提出了一种高通量dSERS基底,通过该方法获得了最小直径为115纳米、深度为600纳米的微球内纳米孔阵列(NiMA)。涂有金纳米颗粒的NiMA在液体采样(10微升)方面具有高精度和超低检测限。具有高均匀性的离散纳米孔分布保证了在小光谱数据集体积内独立获取拉曼光谱,以实现泊松统计的准确性。NiMA基底用于收集血清,并通过dSERS方法对血清中的三种生物标志物(高瓜氨酸、L-色氨酸和L-瓜氨酸)进行定量识别以进行诊断。在区分RA患者方面,其准确率为88.0%,灵敏度为92.9%,特异性为81.8%,这表明血清dSERS方案用于临床早期诊断的可行性。