Quantitative measurement of ketone bodies in urine using reflectometry

Author:

Penders Joris,Fiers Tom,Giri Mimi,Wuyts Birgitte,Ysewyn Larissa,Delanghe Joris R.

Abstract

AbstractBackground: Recently, automated urine test strip readers became available that can report quantitative data. We explored the possibility of measuring all ketone bodies (acetone, acetoacetate, 3-hydroxybutyrate) in urine with these test strips. Monitoring urinary ketone concentrations could offer the advantages of measuring higher values (due to the low renal thresholds) and being less sensitive to fluctuations.Methods: We evaluated URISYS 2400 (Roche) quantitative reflectance data for the ketone reflectance field and compared it with biochemical data from urine samples. Using an easy sample pre-treatment with 3-hydroxybutyrate dehydrogenase, we were able to assay 3-hydroxybutyrate as well, which normally does not react on urine test strips.Results: Within- and between-run reproducibility of the reflectance signal for high- and low-concentration urine pools was 11.0–3.6% and 11.0–5.8% for aceto-acetate, 8.2–9.2% and 10.4–16.1% for acetone, and 5.1–3.0% and 5.6–3.5% for 3-hydroxybutyrate, respectively. The lower limit of detection for acetoacetate was 0.13mmol/L (CV=3.6%). Fair agreement was obtained between test strip data for ketones andcolorimetrically determined acetoacetate values (r=0.90).Conclusions: In urine test strip analysis, quantitative ketone reflectance data allow a simple and fast analysis, offering affordable screening for the detection of ketone body production in diabetes, especially in emergency settings.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3