The detection of carbohydrates in human body fluids is critical for disease diagnosis and healthy monitoring. Despite recent advances in glucose sensing, multiplex detection of different carbohydrates within a single assay that is capable of efficiently providing richer health information remains challenging. Herein, we report a versatile surface-enhanced Raman spectroscopy-based platform for the quantitative detection of monosaccharides (glucose, fructose, and galactose) in one test using a displace-and-trap mechanism. Moreover, due to the use of multiple optical interference-free (1800–2200 cm^–1) signal-independent Raman probes, the detection range of this platform (0.125–7 mg/dL) perfectly covers physiological concentrations, enabling the quantitative detection of glucose and galactose in clinical human saliva samples. This work provides a noninvasive and high-efficiency potential tool for the screening of clinical diabetes and other carbohydrate-related diseases.

中文翻译：

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串联定量分析唾液中多种碳水化合物的表面增强拉曼光谱

人体液中碳水化合物的检测对于疾病诊断和健康监测至关重要。尽管最近在葡萄糖感测方面取得了进步，但是在能够有效提供更丰富的健康信息的单一测定中对不同碳水化合物进行多重检测仍然具有挑战性。在这里，我们报告了一个通用的基于表面增强拉曼光谱的平台，该平台可在一项使用置换和捕获机制的测试中对单糖（葡萄糖，果糖和半乳糖）进行定量检测。此外，由于使用了多个无光干扰（1800–2200 cm ^–1平台）（信号独立的拉曼探针），该平台的检测范围（0.125–7 mg / dL）完全涵盖了生理浓度，从而能够定量检测临床人唾液样本中的葡萄糖和半乳糖。这项工作为筛查临床糖尿病和其他与碳水化合物有关的疾病提供了一种非侵入性和高效率的潜在工具。