Two low-cost digital camera-based platforms for quantitative creatinine analysis in urine

被引:35
|
作者
Debus, Bruno [1 ]
Kirsanov, Dmitry [1 ,2 ]
Yaroshenko, Irina [1 ,2 ,3 ]
Sidorova, Alla [3 ]
Piven, Alena [3 ]
Legin, Andrey [1 ,2 ]
机构
[1] St Petersburg State Univ, Inst Chem, St Petersburg 199034, Russia
[2] ITMO Univ, Lab Artificial Sensory Syst, St Petersburg 197101, Russia
[3] St Petersburg State Polytech Univ, Bioanalyt Lab CSU Analyt Spectrometry, St Petersburg 198220, Russia
关键词
Creatinine; Chemometrics; Digital camera; Spectroscopy; TANDEM MASS-SPECTROMETRY; COLORIMETRIC DETECTION; SMARTPHONE; ASSAYS; ELECTROPHORESIS; QUANTIFICATION; SUBSTANCES; BIOSENSOR; SERUM; JAFFE;
D O I
10.1016/j.aca.2015.09.007
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In clinical analysis creatinine is a routine biomarker for the assessment of renal and muscular dysfunctions. Although several techniques have been proposed for a fast and accurate quantification of creatinine in human serum or urine, most of them require expensive or complex apparatus, advanced sample preparation or skilled operators. To circumvent these issues, we propose two home-made platforms based on a CD Spectroscope (CDS) and Computer Screen Photo-assisted Technique (CSPT) for the rapid assessment of creatinine level in human urine. Both systems display a linear range (r(2) = 0.9967 and 0.9972, respectively) from 160 mu mol L-1 to 1.6 mu mol L-1 for standard creatinine solutions (n = 15) with respective detection limits of 89 mu mol L-1 and 111 mu mol L-1. Good repeatability was observed for intra-day (1.7-2.9%) and inter-day (3.6-6.5%) measurements evaluated on three consecutive days. The performance of CDS and CSPT was also validated in real human urine samples (n = 26) using capillary electrophoresis data as reference. Corresponding Partial Least-Squares (PLS) regression models provided for mean relative errors below 10% in creatinine quantification. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:71 / 79
页数:9
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