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Title: | Alternative method for measurement of albumin/creatinine ratio using spectrophotometric sequential injection analysis |
Authors: | Siangproh W. Teshima N. Sakai T. Katoh S. Chailapakul O. |
Keywords: | Alkalinity Clinical research Spectrophotometry Albumin Albumin/creatinine ratio (ACR) Creatinine Sequential injection Urinary Assays |
Issue Date: | 2009 |
Abstract: | A simple, automatic and practical system for successive determination of albumin and creatinine has been developed by combining sequential injection analysis (SIA) and highly sensitive dye-binding assays. Albumin detection was based on the increase in the absorbance due to complex formation between albumin and eosin Y in acidic media. The absorbance of the complex was monitored at 547 nm. For the creatinine assay, the concentration of creatinine was measured by reaction with alkaline picrate to form a colored product which absorbs at 500 nm. The influences of experimental variables such as effects of pH, reagent concentration, standard/sample volume and interferences were investigated. Under optimal conditions, the automated method showed linearity up to 20 mg L-1 for albumin and 100 mg L-1 for creatinine. The 3σ detection limits were 0.6 and 3.5 mg L-1 for albumin and creatinine, respectively, and the relative standard deviations (n = 10) were 2.49% for 20 mg L-1 albumin, and 3.14% for 20 mg L-1 creatinine. Application of the proposed method to the direct analysis of urinary samples yielded results which agreed with those obtained from the Bradford protein assay and a creatinine enzymatic assay according to a paired t-test. The results obtained should be a step towards developing a fully automated and reliable analytical system for clinical research, which requires direct determination of albumin and creatinine and/or its ratios. © 2009 Elsevier B.V. All rights reserved. |
URI: | https://ir.swu.ac.th/jspui/handle/123456789/14932 https://www.scopus.com/inward/record.uri?eid=2-s2.0-67650497907&doi=10.1016%2fj.talanta.2008.12.068&partnerID=40&md5=03a6427546a8963fb36b4f0ac9631d9e |
ISSN: | 399140 |
Appears in Collections: | Scopus 1983-2021 |
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