随着护理点医学的进步，可以使用手持式传感器轻松快速地监测个人健康状况，唾液由于其可用性和丰富的生理指标而成为最合适的体液之一。唾液生物标志物与快速、高灵敏度的检测工具相结合，可能为使用唾液作为目标基质的新的实时健康监测和个性化预防治疗分支铺平道路。唾液在液体活检中的重要性日益增加，液体活检是一种非侵入性方法，可以帮助医生诊断和表征患者的特定疾病。在这里，我们提出了一项概念验证研究，将表面增强拉曼光谱（SERS）提供的生物分子识别的独特特异性与分子动力学（MD）模拟相结合，从而探索纳米颗粒表面的生物分子吸收机制，为了验证与口咽鳞状细胞癌（OSCC）和口腔感染有关的两种经过验证的唾液指标，即白细胞介素-8（IL-8）和溶菌酶（LYZ）的可追溯性。该策略同时确保唾液中蛋白质生物标志物的检测和解释，最终为精准医学诊断中快速、准确的基于护理点 SERS 的传感器的发展开辟了一条新途径。

For the progress of point-of-care medicine, where individual health status can be easily and quickly monitored using a handheld sensor, saliva serves as one of the best-suited body fluids thanks to its availability and abundance of physiological indicators. Salivary biomarkers, combined with rapid and highly sensitive detection tools, may pave the way to new real-time health monitoring and personalized preventative therapy branches using saliva as a target matrix. Saliva is increasing in importance in liquid biopsy, a non-invasive approach that helps physicians diagnose and characterize specific diseases in patients. Here, we propose a proof-of-concept study combining the unique specificity in biomolecular recognition provided by surface-enhanced Raman spectroscopy (SERS) in combination with molecular dynamics (MD) simulations, which give leave to explore the biomolecular absorption mechanism on nanoparticle surfaces, in order to verify the traceability of two validated salivary indicators, i.e., interleukin-8 (IL-8) and lysozyme (LYZ), implicated in oropharyngeal squamous cell carcinoma (OSCC) and oral infection. This strategy simultaneously assures the detection and interpretation of protein biomarkers in saliva, ultimately opening a new route for the evolution of fast and accurate point-of-care SERS-based sensors of interest in precision medicine diagnostics.