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 AbstractPreparation of multiwalled carbon nanotubes/hydroxyl-terminated silicone oil fiber and its application to analysis of crude oils    Next AbstractStudy of the Metal-Support Interaction and Electronic Effect Induced by Calcination Temperature Regulation and Their Effect on the Catalytic Performance of Glycerol Steam Reforming for Hydrogen Production »

J Biophotonics


Title:Optical sensory arrays for the detection of urinary bladder cancer-related volatile organic compounds
Author(s):Zhu S; Corsetti S; Wang Q; Li C; Huang Z; Nabi G;
Address:"Cancer Research Division, School of Medicine, University of Dundee, Dundee, UK. Mechanical and Electronic Engineering, School of Science and Engineering, University of Dundee, Dundee, UK. School of Life Sciences, University of Dundee, Dundee, UK"
Journal Title:J Biophotonics
Year:2019
Volume:20190728
Issue:10
Page Number:e201800165 -
DOI: 10.1002/jbio.201800165
ISSN/ISBN:1864-0648 (Electronic) 1864-063X (Print) 1864-063X (Linking)
Abstract:"Non-invasive detection of urinary bladder cancer remains a significant challenge. Urinary volatile organic compounds (VOCs) are a promising alternative to cell-based biomarkers. Herein, we demonstrate a novel diagnosis system based on an optic fluorescence sensor array for detecting urinary bladder cancer VOCs biomarkers. This study describes a fluorescence-based VOCs sensor array detecting system in detail. The choice of VOCs for the initial part was based on an extensive systematic search of the literature and then followed up using urinary samples from patients with urinary bladder transitional cell carcinoma. Canonical discriminant analysis and partial least squares discriminant analysis (PLS-DA) were employed and correctly detected 31/48 urinary bladder cancer VOC biomarkers and achieved an overall 77.75% sensitivity and 93.25% specificity by PLS-DA modelling. All five urine samples from bladder cancer patients, and five healthy controls were successfully identified with the same sensor arrays. Overall, the experiments in this study describe a real-time platform for non-invasive bladder cancer diagnosis using fluorescence-based gas-sensor arrays. Pure VOCs and urine samples from the patients proved such a system to be promising; however, further research is required using a larger population sample"
Keywords:"Biomarkers/analysis Humans *Optical Devices Point-of-Care Systems Spectrometry, Fluorescence/*instrumentation Urinary Bladder Neoplasms/*chemistry Volatile Organic Compounds/*analysis bladder cancer fluorescence gas-sensory arrays urinary volatile organic;"
Notes:"MedlineZhu, Simian Corsetti, Stella Wang, Qifan Li, Chunhui Huang, Zhihong Nabi, Ghulam eng Research Support, Non-U.S. Gov't Germany 2018/09/01 J Biophotonics. 2019 Oct; 12(10):e201800165. doi: 10.1002/jbio.201800165. Epub 2019 Jul 28"

 
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 26-12-2024