Research Centre for Biomedical Engineering, School of Engineering and Mathematical Sciences, University of London, Northampton Square, London EC1V 0HB, UK.
Interdisciplinary Research Centre (IRC) in Biomedical Materials, Queen Mary University of London (QMUL), Mile End Road, London E1 4NS, UK.
Sensors (Basel). 2020 Sep 21;20(18):5402. doi: 10.3390/s20185402.
Uninterrupted monitoring of serum lactate levels is a prerequisite in the critical care of patients prone to sepsis, cardiogenic shock, cardiac arrest, or severe lung disease. Yet there exists no device to continuously measure blood lactate in clinical practice. Optical spectroscopy together with multivariate analysis is proposed as a viable noninvasive tool for estimation of lactate in blood. As an initial step towards this goal, we inspected the plausibility of predicting the concentration of sodium lactate (NaLac) from the UV/visible, near-infrared (NIR), and mid-infrared (MIR) spectra of 37 isotonic phosphate-buffered saline (PBS) samples containing NaLac ranging from 0 to 20 mmol/L. UV/visible (300-800 nm) and NIR (800-2600 nm) spectra of PBS samples were collected using the PerkinElmer Lambda 1050 dual-beam spectrophotometer, while MIR (4000-500 cm) spectra were collected using the Spectrum two FTIR spectrometer. Absorption bands in the spectra of all three regions were identified and functional groups were assigned. The concentration of lactate in samples was predicted using the Partial Least-Squares (PLS) regression analysis and leave-one-out cross-validation. The regression analysis showed a correlation coefficient (R) of 0.926, 0.977, and 0.992 for UV/visible, NIR, and MIR spectra, respectively, between the predicted and reference samples. The RMSECV of UV/visible, NIR, and MIR spectra was 1.59, 0.89, and 0.49 mmol/L, respectively. The results indicate that optical spectroscopy together with multivariate models can achieve a superior technique in assessing lactate concentrations.
在对易发生脓毒症、心源性休克、心脏骤停或严重肺部疾病的患者进行重症监护时，必须进行血清乳酸水平的连续监测。然而，目前在临床实践中还没有能够连续测量血液乳酸的设备。光学光谱学结合多元分析被提出作为一种可行的非侵入性血液乳酸估计工具。作为实现这一目标的初步步骤，我们检验了从含有 0 至 20mmol/L 乳酸钠（NaLac）的 37 个等渗磷酸盐缓冲盐水（PBS）样本的紫外/可见、近红外（NIR）和中红外（MIR）光谱中预测乳酸钠（NaLac）浓度的合理性。使用 PerkinElmer Lambda 1050 双光束分光光度计采集 PBS 样本的紫外/可见（300-800nm）和近红外（800-2600nm）光谱，而使用 Spectrum two FTIR 光谱仪采集 MIR（4000-500cm）光谱。鉴定了所有三个区域光谱中的吸收带，并分配了官能团。使用偏最小二乘（PLS）回归分析和留一法交叉验证来预测样品中的乳酸浓度。回归分析表明，在预测和参考样本之间，紫外/可见、近红外和 MIR 光谱的相关系数（R）分别为 0.926、0.977 和 0.992。紫外/可见、近红外和 MIR 光谱的 RMSECV 分别为 1.59、0.89 和 0.49mmol/L。结果表明，光学光谱学结合多元模型可以实现评估乳酸浓度的卓越技术。
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