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 AbstractVolatile metabolite profiling reveals the changes in the volatile compounds of new spontaneously generated loquat cultivars    Next Abstract"VOC contamination in hospital, from stationary sampling of a large panel of compounds, in view of healthcare workers and patients exposure assessment" »

Sci Total Environ


Title:Sequential discriminant classification of environments with different levels of exposure to tobacco smoke
Author(s):Besalu E; Castellanos M; Sanchez JM;
Address:"Department of Chemistry, University of Girona, Campus Montilivi s/n, 17071 Girona, Spain; Institut de Quimica Computacional i Catalisi (IQCC), University of Girona, Campus Montilivi s/n, 17071 Girona, Spain. Electronic address: emili.besalu@udg.edu. Department of Neurology, Dr Josep Trueta University Hospital, Girona, Spain; Cerebrovascular Unit, Girona Biomedical Research Institute (IdIBGi), Girona, Spain. Electronic address: mcastellanos.girona.ics@gencat.cat. Department of Chemistry, University of Girona, Campus Montilivi s/n, 17071 Girona, Spain; Cerebrovascular Unit, Girona Biomedical Research Institute (IdIBGi), Girona, Spain. Electronic address: juanma.sanchez@udg.edu"
Journal Title:Sci Total Environ
Year:2014
Volume:20140605
Issue:
Page Number:899 - 904
DOI: 10.1016/j.scitotenv.2014.05.093
ISSN/ISBN:1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:"The use of biomarkers permits the detection of smoking having taken place in an environment. However, no single biomarker is able to differentiate clearly between different types of environments. Multivariate classification models have helped us to differentiate between outdoors, non-smoking indoors, well ventilated smoking indoors, and smoking environments without good air exchange. We found that the variables that enabled us to classify environments most accurately were indoor temperature, 2,5-dimethylfuran and ethyltoluene. A successful prediction rate of 86.5% was obtained by applying both direct fitting and cross validation discriminant (leave-one-out) analyses. Our results show that although a good air exchange ratio decreases the levels of volatile organic compounds in indoor air due to tobacco smoke, significant contamination still remains"
Keywords:"Air Pollution, Indoor/analysis/statistics & numerical data Environmental Exposure/analysis/*statistics & numerical data *Environmental Monitoring Humans Tobacco Smoke Pollution/*analysis/statistics & numerical data Biological monitoring Classification Env;"
Notes:"MedlineBesalu, Emili Castellanos, Mar Sanchez, Juan M eng Research Support, Non-U.S. Gov't Netherlands 2014/06/09 Sci Total Environ. 2014 Aug 15; 490:899-904. doi: 10.1016/j.scitotenv.2014.05.093. Epub 2014 Jun 5"

 
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 23-11-2024