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Drop-coating deposition Raman spectroscopy for quantitative detection of urinary creatinine: a feasibility study
Laser Physics ( IF 1.2 ) Pub Date : 2020-07-08 , DOI: 10.1088/1555-6611/ab9833
Surjendu Bikash Dutta 1, 2 , Hemant Krishna 1 , Khan Mohammad Khan 1 , Rashmi Shrivastava 1 , Khageswar Sahu 1 , Sharad Gupta 3 , Shovan K Majumder 1, 4
Affiliation  

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 (∼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-ou...

中文翻译:

滴涂沉积拉曼光谱法定量检测尿肌酐的可行性研究

我们介绍了一项探索性研究的结果,以评估滴涂沉积拉曼光谱法(DCDRS)用于定量测定尿液中肌酐的适用性。从肌酐生理浓度的水溶液中测得的常规拉曼光谱和DCDRS光谱的比较表明,DCDRS的强度明显更高。尽管与表面增强拉曼光谱法(SERS)相比,该强度要低得多,但发现DCDRS的重现性(⩾92%)比SERS(〜75%)好得多。开发了一种基于偏最小二乘回归的多元化学计量学算法,以基于肌酐水溶液以及人工尿液样品的DCDRS谱的测量值集和用于肌酐的参考(已知)浓度来预测肌酐的浓度。准备解决方案。该算法是通过留一频谱法应用的...
更新日期:2020-07-09
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