Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay

Tree assessment methodologies, currently used to evaluate the structural stability of individual urban trees, usually involve a visual analysis followed by measurements of the internal soundness of wood using various instruments that are often invasive, expensive, or inadequate for use within the ur...

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Main Authors: Manuela Baietto, Alphus D. Wilson, Daniele Bassi, Francesco Ferrini
Format: Article
Language:English
Published: MDPI AG 2010-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/2/1062/
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author Manuela Baietto
Alphus D. Wilson
Daniele Bassi
Francesco Ferrini
author_facet Manuela Baietto
Alphus D. Wilson
Daniele Bassi
Francesco Ferrini
author_sort Manuela Baietto
collection DOAJ
description Tree assessment methodologies, currently used to evaluate the structural stability of individual urban trees, usually involve a visual analysis followed by measurements of the internal soundness of wood using various instruments that are often invasive, expensive, or inadequate for use within the urban environment. Moreover, most conventional instruments do not provide an adequate evaluation of decay that occurs in the root system. The intent of this research was to evaluate the possibility of integrating conventional tools, currently used for assessments of decay in urban trees, with the electronic nose–a new innovative tool used in diverse fields and industries for various applications such as quality control in manufacturing, environmental monitoring, medical diagnoses, and perfumery. Electronic-nose (e-nose) technologies were tested for the capability of detecting differences in volatile organic compounds (VOCs) released by wood decay fungi and wood from healthy and decayed trees. Three e-noses, based on different types of operational technologies and analytical methods, were evaluated independently (not directly compared) to determine the feasibility of detecting incipient decays in artificially-inoculated wood. All three e-nose devices were capable of discriminating between healthy and artificially-inoculated, decayed wood with high levels of precision and confidence. The LibraNose quartz microbalance (QMB) e-nose generally provided higher levels of discrimination of sample unknowns, but not necessarily more accurate or effective detection than the AromaScan A32S conducting polymer and PEN3 metal-oxide (MOS) gas sensor e-noses for identifying and distinguishing woody samples containing different agents of wood decay. However, the conducting polymer e-nose had the greater advantage for identifying unknowns from diverse woody sample types due to the associated software capability of utilizing prior-developed, application-specific reference libraries with aroma pattern-recognition and neural-net training algorithms.
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spelling doaj.art-e0d70590d1da4ac5b0d3462364c32d992022-12-22T04:22:57ZengMDPI AGSensors1424-82202010-01-011021062109210.3390/s100201062Evaluation of Three Electronic Noses for Detecting Incipient Wood DecayManuela BaiettoAlphus D. WilsonDaniele BassiFrancesco FerriniTree assessment methodologies, currently used to evaluate the structural stability of individual urban trees, usually involve a visual analysis followed by measurements of the internal soundness of wood using various instruments that are often invasive, expensive, or inadequate for use within the urban environment. Moreover, most conventional instruments do not provide an adequate evaluation of decay that occurs in the root system. The intent of this research was to evaluate the possibility of integrating conventional tools, currently used for assessments of decay in urban trees, with the electronic nose–a new innovative tool used in diverse fields and industries for various applications such as quality control in manufacturing, environmental monitoring, medical diagnoses, and perfumery. Electronic-nose (e-nose) technologies were tested for the capability of detecting differences in volatile organic compounds (VOCs) released by wood decay fungi and wood from healthy and decayed trees. Three e-noses, based on different types of operational technologies and analytical methods, were evaluated independently (not directly compared) to determine the feasibility of detecting incipient decays in artificially-inoculated wood. All three e-nose devices were capable of discriminating between healthy and artificially-inoculated, decayed wood with high levels of precision and confidence. The LibraNose quartz microbalance (QMB) e-nose generally provided higher levels of discrimination of sample unknowns, but not necessarily more accurate or effective detection than the AromaScan A32S conducting polymer and PEN3 metal-oxide (MOS) gas sensor e-noses for identifying and distinguishing woody samples containing different agents of wood decay. However, the conducting polymer e-nose had the greater advantage for identifying unknowns from diverse woody sample types due to the associated software capability of utilizing prior-developed, application-specific reference libraries with aroma pattern-recognition and neural-net training algorithms.http://www.mdpi.com/1424-8220/10/2/1062/tree hazard assessmentelectronic aroma detectionwood-rotting fungiurban landscape tree species
spellingShingle Manuela Baietto
Alphus D. Wilson
Daniele Bassi
Francesco Ferrini
Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
Sensors
tree hazard assessment
electronic aroma detection
wood-rotting fungi
urban landscape tree species
title Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
title_full Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
title_fullStr Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
title_full_unstemmed Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
title_short Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay
title_sort evaluation of three electronic noses for detecting incipient wood decay
topic tree hazard assessment
electronic aroma detection
wood-rotting fungi
urban landscape tree species
url http://www.mdpi.com/1424-8220/10/2/1062/
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