Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractProduction of extremely low volatile organic compounds from biogenic emissions: Measured yields and atmospheric implications    Next AbstractS-methyl Methanethiosulfonate: Promising Late Blight Inhibitor or Broad Range Toxin? »

Biomark Med


Title:Urine headspace analysis with field asymmetric ion mobility spectrometry for detection of chronic kidney disease
Author(s):Jokiniitty E; Hokkinen L; Kumpulainen P; Leskinen Y; Lehtimaki T; Oksala N; Roine A;
Address:"Department of Surgery, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland. Centre for Vascular Surgery & Interventional Radiology, Tampere University Hospital, Tampere, Finland. Department of Internal Medicine, Tampere University Hospital, Tampere, Finland. Department of Clinical Chemistry, Fimlab Laboratories & Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine & Health Technology, Tampere University"
Journal Title:Biomark Med
Year:2020
Volume:20200702
Issue:8
Page Number:629 - 638
DOI: 10.2217/bmm-2020-0085
ISSN/ISBN:1752-0371 (Electronic) 1752-0363 (Linking)
Abstract:"Electronic noses (eNoses) are an emerging class of experimental diagnostic tools. They are based on the detection of volatile organic compounds. Urine is used as sample medium in several publications but neither the effect of chronic kidney disease (CKD) on the analysis nor the potential to detect CKD has been explored. Materials & methods: We utilized an eNose based on field asymmetric ion mobility spectrometry (FAIMS) technology to classify urine samples from CKD patients and controls. Results: We were able to differentiate extremes of kidney function with an accuracy of 81.4%. Conclusion: In this preliminary study, applying eNose technology we were able to distinguish the patients with impaired kidney function from those with normal kidney function"
Keywords:"Adult Aged *Electronic Nose Female Glomerular Filtration Rate/physiology Humans Ion Mobility Spectrometry/*methods Kidney Function Tests/methods Male Middle Aged Renal Insufficiency, Chronic/diagnosis/physiopathology/*urine Reproducibility of Results Sens;"
Notes:"MedlineJokiniitty, Elina Hokkinen, Lauri Kumpulainen, Pekka Leskinen, Yrjo Lehtimaki, Terho Oksala, Niku Roine, Antti eng Research Support, Non-U.S. Gov't England 2020/07/03 Biomark Med. 2020 Jun; 14(8):629-638. doi: 10.2217/bmm-2020-0085. Epub 2020 Jul 2"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 06-11-2024