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Drop-coating deposition Raman spectroscopy for quantitative detection of urinary creatinine: a feasibility study

机译:脱涂沉积拉曼光谱法定量检测尿肌酐:可行性研究

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We present the results of an exploratory study carried out to evaluate the applicability of drop coating deposition Raman spectroscopy (DCDRS) for quantitative determination of creatinine present in urine. A comparison of the conventional Raman and the DCDRS spectra measured from aqueous solutions of physiological concentration of creatinine showed significantly higher intensity for DCDRS. Although as compared to surface enhanced Raman spectroscopy (SERS) this intensity was considerably lower, the reproducibility of DCDRS was found to be significantly better (92%) than that of SERS (similar to 75%). A multivariate chemometric algorithm based on partial least square regression was developed to predict the concentrations of creatinine on the basis of the measured set of DCDRS spectra of the aqueous creatinine solutions as well as artificial urine samples and the reference (known) concentrations of creatinine used for preparing the solutions. The algorithm, applied via leave-one-spectrum-out cross-validation, could detect creatinine present in the artificial urine samples with an accuracy of over 94% in the physiological concentration range. Further, the lower limit of detection was also found to be sufficient for determining the presence of the urinary creatinine levels lower than the physiological reference range. Overall, the findings of the study demonstrate a promising potential of DCDRS for quantitative analysis of creatinine present in urine.
机译:我们提出了探索性研究的结果,以评估掉涂层沉积拉曼光谱(DCDR)对尿液中存在的肌酐的定量测定的适用性。常规拉曼的比较和由肌酸酐的生理浓度水溶液中测量的DCDR光谱显示出对DCDR的显着更高的强度。尽管与表面增强拉曼光谱(SERS)相比,这种强度相当较低,发现DCDR的再现性明显更好(92%)比SERS(类似于75%)。基于部分最小二乘回归的多变量化学计量算法开发为基于含水肌酐溶液的测量的DCDRS光谱以及人造尿液样品和用于的参考(已知)肌酸肽的基于测量的肌酐的浓度准备解决方案。通过休假α-扫描交叉验证施加的算法可以检测人工尿液中存在的肌酐,其在生理浓度范围内的精度超过94%。此外,还发现检测的下限足以确定尿肌酐水平低于生理参考范围的存在。总体而言,该研究的发现表明了DCDR用于尿液中存在的肌酐定量分析的有希望的潜力。

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