Kumar Rajesh, Singh Gajendra P, Barman Ishan, Dingari Narahara Chari, Nabi Ghulam
Department of Physics, Norwegian University of Science & Technology-NTNU, 7491 Trondheim, Norway.
Bioanalysis. 2013 Aug;5(15):1853-61. doi: 10.4155/bio.13.126.
Accurate and real-time information is critical for decision making, especially in medical applications, where any delay in diagnosis due to collection, transport and storage of biofluids can have substantial ramifications for disease management.
We present a facile method for point-of-care biofluid diagnostics based on the spectroscopic analysis of cotton-swab contents using a Raman probe. A PCA algorithm was developed in order to understand the clustering behavior of different off-the-shelf pharmaceutical formulations based on the recorded spectral data. Furthermore, we employed the Raman probe to detect antibiotics in a human urine sample. Our observations suggest that it is possible to provide quantitative concentration determination of Raman-active analytes by using cotton swabs as a sampling probe, which offers a wealth of possibility for real-time measurement in clinical situations.
We envision that the intrinsic simplicity of the proposed approach in conjunction with its capability for accurate analyte determination in biofluids will lead to its clinical translation and application in point-of-care settings in the near future.
准确的实时信息对于决策至关重要，尤其是在医疗应用中，生物流体的采集、运输和储存导致的诊断延迟可能会对疾病管理产生重大影响。
我们提出了一种基于使用拉曼探针的棉签内容物光谱分析的即时护理生物流体诊断简便方法。开发了一种主成分分析（PCA）算法，以便根据记录的光谱数据了解不同市售药物制剂的聚类行为。此外，我们使用拉曼探针检测人尿液样本中的抗生素。我们的观察结果表明，使用棉签作为采样探针可以对拉曼活性分析物进行定量浓度测定，这为临床实时测量提供了丰富的可能性。
我们设想，所提出方法固有的简单性及其在生物流体中准确测定分析物的能力将在不久的将来导致其在即时护理环境中的临床转化和应用。
