化学
拉曼光谱
表面增强拉曼光谱
等离子体
检出限
分析化学(期刊)
色谱法
胶体金
下降(电信)
纳米技术
纳米颗粒
拉曼散射
光学
材料科学
物理
电信
量子力学
计算机科学
作者
Dechan Lu,Zufang Huang,Jingbo Chen,Yudong Lu
标识
DOI:10.1021/acs.analchem.4c04671
摘要
Surface-enhanced Raman spectroscopy (SERS) provides a rapid and nondestructive method for biological plasma analysis, offering unparalleled sensitivity and specificity. However, most current studies predominantly employ the drop-cast method, where liquid samples are dried on the SERS substrate for spectral recording. While effective, this method is both time-consuming and inconsistent. Additionally, the Raman spectral signal of uric acid in plasma often dominates, overshadowing other crucial biomarkers necessary for disease differentiation. In this study, we present the application of label-free SERS detection for distinguishing early stage lung cancer (LC) from healthy controls (HC) using plasma samples. Plasma was diluted, adjusted to a weakly acidic pH, and combined with silver nanoparticles (Ag NPs) for SERS analysis. To maintain the plasma in a liquid state and prevent evaporation, liquid paraffin was employed. Our findings indicate that a 10-fold dilution of plasma under weakly acidic conditions significantly enhanced diagnostic performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.975. This method is featured by its simplicity and high efficiency, presenting a promising strategy for the minimally invasive diagnosis of early stage LC using SERS technology.
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