Discriminant Analysis of Volatile Organic Compounds data related to a new location method of entrapped people in collapsed buildings of an earthquake
Date
2006Source
Analytica Chimica ActaVolume
566Issue
2Pages
207-216Google Scholar check
Keyword(s):
Metadata
Show full item recordAbstract
Discriminant Analysis is used as a part of a research, which aims at using expired air analysis for the early location of entrapped people under the ruins of collapsed buildings in an earthquake. This work focuses on the possibility of distinguishing Volatile Organic Compounds (VOCs) in the entrapment area which originate from different sources. Five categories of samples were analyzed by Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). Expired air samples from healthy humans (Category 1) and fasting people (Category 2) were analyzed for studying the VOCs attributed to entrapped people. Headspace air of urban waste disposal bins (Category 3), headspace air of bags with decaying human bodies (Category 4) and urban air samples (Category 5) were analyzed for studying the VOCs attributed to background sources. Discriminant Rotation, a specific type of Discriminant Analysis was applied on the VOCs concentration matrix of the five categories. Combinations of VOCs that best discriminated each category were determined. Cluster Analysis was used to validate the results of Discriminant Analysis. The advantages and limitations of the method are presented and discussed. © 2006 Elsevier B.V. All rights reserved.
Collections
Cite as
Related items
Showing items related by title, author, creator and subject.
-
Article
Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology
Bagos, Pantelis G.; Nikolopoulos, Georgios K. (2009)Objective: Cumulative meta-analysis allows the evaluation of a study's contribution to the combined effect of the preceding research. It accrues evidence, gradually adding studies one at a time and provides updated estimates ...
-
Article
Spectral density ratio based clustering methods for the binary segmentation of protein sequences: A comparative study
Ioannou, Androulla; Fokianos, Konstantinos; Promponas, Vasilis J. (2010)We compare several spectral domain based clustering methods for partitioning protein sequence data. The main instrument for this exercise is the spectral density ratio model, which specifies that the logarithmic ratio of ...
-
Article
Mixed-effects poisson regression models for meta-analysis of follow-up studies with constant or varying durations
Bagos, Pantelis G.; Nikolopoulos, Georgios K. (2009)We present a framework for meta-analysis of follow-up studies with constant or varying duration using the binary nature of the data directly. We use a generalized linear mixed model framework with the Poisson likelihood ...