纳米探针
免疫分析
分析物
检出限
化学
生物标志物
液体活检
定量分析(化学)
胰腺癌
癌胚抗原
癌症生物标志物
样品制备
血清
纳米颗粒
分辨率(逻辑)
临床诊断
拉曼散射
癌症检测
活检
循环肿瘤细胞
高分辨率
作者
Chanhee Choi,Hongwon Kim,Sohyun Moon,In‐Jun Hwang,Seong‐Yeon Choi,Seokhyun Yoon,Jin‐Hyeok Hwang,Kwangrok Jung,Jong‐Chan Lee,Jong‐Ho Kim
出处
期刊:Small methods
[Wiley]
日期:2026-04-08
卷期号:10 (9): e00005-e00005
标识
DOI:10.1002/smtd.202600005
摘要
Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy modality for the detection of blood biomarkers. However, quantitative detection of blood biomarkers using SERS nanoprobe immunoassays remains challenging, primarily due to intrinsic stochastic fluctuations of SERS signals. Herein, Ag nanogap shells (AgNGS) encoded with Raman labels are prepared as SERS nanoprobes with single-particle sensing resolution and long-term structural and signal stability. Then, digital SERS nanoprobe immunoassays using AgNGS nanoprobes and magnetic nanoparticles conjugated with detection and capture antibodies for carbohydrate antigen 19-9 (CA19-9) and apolipoprotein A1 (APOA1) are developed for their quantitative detection in the clinical serum samples of pancreatic cancer (PC). Furthermore, digitization of the SERS intensity-based assay outcomes into On/Off states allows significant improvement in limits of detection and quantification for biomarker detection. Finally, the digital AgNGS nanoprobe immunoassay enables quantitative detection of both CA19-9 and APOA1 from the 150 clinical serum samples of PC patients, which are integrated with machine learning analysis via bootstrap sampling and logistic regression modeling for the diagnosis of early-stage PC, achieving a high AUC of 0.988. AgNGS nanoprobe immunoassays offer an effective liquid biopsy route for profiling various blood biomarkers associated with many diseases.
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