Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France.
WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK.
J Biophotonics. 2019 Dec;12(12):e201900177. doi: 10.1002/jbio.201900177. Epub 2019 Aug 13.
Infrared spectroscopy is a rapid, easy-to-operate, label-free and therefore cost-effective technique. Many studies performed on biofluids (eg, serum, plasma, urine, sputum, bile and cerebrospinal fluid) have demonstrated its promising application as a clinical diagnostic tool. Given all these characteristics, infrared spectroscopy appears to be an ideal candidate to be implemented into the clinics. However, before considering its translation, a clear effort is needed to standardise protocols for biofluid spectroscopic analysis. To reach this goal, careful investigations to identify and track errors that can occur during the pre-analytical phase is a crucial step. Here, we report for the first time, results of investigations into pre-analytical factors that can affect the quality of the spectral data acquired on serum and plasma, such as the impact of long-term freezing time storage of samples as well as the month-to-month reproducibility of the spectroscopic analysis. The spectral data discrimination has revealed to be majorly impacted by a residual water content variation in serum and plasma dried samples.
红外光谱是一种快速、易于操作、无需标记且因此具有成本效益的技术。许多在生物流体(例如血清、血浆、尿液、痰液、胆汁和脑脊液)上进行的研究表明,它作为一种临床诊断工具具有广阔的应用前景。鉴于所有这些特点,红外光谱似乎是一种很有前途的候选技术,可以应用于临床。然而,在考虑将其转化为临床应用之前,需要明确努力来标准化生物流体光谱分析的协议。为了实现这一目标,仔细调查可以在分析前阶段发生的错误并进行跟踪是至关重要的一步。在这里,我们首次报告了可以影响血清和血浆中获得的光谱数据质量的分析前因素的调查结果,例如样品长期冷冻储存时间以及光谱分析的逐月重现性的影响。光谱数据的区分主要受到血清和血浆干燥样本中残留水分含量变化的影响。