Decay detection of constructional softwoods using machine olfaction

Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this s...
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Gespeichert in:

Autor*in:	Suzuki, Masaki [verfasserIn] Miyauchi, Teruhisa [verfasserIn] Isaji, Shinichi [verfasserIn] Hirabayashi, Yasushi [verfasserIn] Naganawa, Ryuichi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Wood decay Wood-decay fungi Gas sensors Machine olfaction Electronic nose

Anmerkung:	© The Author(s) 2021

Übergeordnetes Werk:	Enthalten in: Journal of wood science - Tokyo : Springer, 1998, 67(2021), 1 vom: 30. Okt.
Übergeordnetes Werk:	volume:67 ; year:2021 ; number:1 ; day:30 ; month:10

Links:	Volltext

DOI / URN:	10.1186/s10086-021-01995-3

Katalog-ID:	SPR045440239

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allfields	10.1186/s10086-021-01995-3 doi (DE-627)SPR045440239 (SPR)s10086-021-01995-3-e DE-627 ger DE-627 rakwb eng 660 670 ASE Suzuki, Masaki verfasserin aut Decay detection of constructional softwoods using machine olfaction 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213 Miyauchi, Teruhisa verfasserin aut Isaji, Shinichi verfasserin aut Hirabayashi, Yasushi verfasserin aut Naganawa, Ryuichi verfasserin aut Enthalten in Journal of wood science Tokyo : Springer, 1998 67(2021), 1 vom: 30. Okt. (DE-627)300186010 (DE-600)1481666-0 1611-4663 nnns volume:67 year:2021 number:1 day:30 month:10 https://dx.doi.org/10.1186/s10086-021-01995-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 67 2021 1 30 10
spelling	10.1186/s10086-021-01995-3 doi (DE-627)SPR045440239 (SPR)s10086-021-01995-3-e DE-627 ger DE-627 rakwb eng 660 670 ASE Suzuki, Masaki verfasserin aut Decay detection of constructional softwoods using machine olfaction 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213 Miyauchi, Teruhisa verfasserin aut Isaji, Shinichi verfasserin aut Hirabayashi, Yasushi verfasserin aut Naganawa, Ryuichi verfasserin aut Enthalten in Journal of wood science Tokyo : Springer, 1998 67(2021), 1 vom: 30. Okt. (DE-627)300186010 (DE-600)1481666-0 1611-4663 nnns volume:67 year:2021 number:1 day:30 month:10 https://dx.doi.org/10.1186/s10086-021-01995-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 67 2021 1 30 10
allfields_unstemmed	10.1186/s10086-021-01995-3 doi (DE-627)SPR045440239 (SPR)s10086-021-01995-3-e DE-627 ger DE-627 rakwb eng 660 670 ASE Suzuki, Masaki verfasserin aut Decay detection of constructional softwoods using machine olfaction 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213 Miyauchi, Teruhisa verfasserin aut Isaji, Shinichi verfasserin aut Hirabayashi, Yasushi verfasserin aut Naganawa, Ryuichi verfasserin aut Enthalten in Journal of wood science Tokyo : Springer, 1998 67(2021), 1 vom: 30. Okt. (DE-627)300186010 (DE-600)1481666-0 1611-4663 nnns volume:67 year:2021 number:1 day:30 month:10 https://dx.doi.org/10.1186/s10086-021-01995-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 67 2021 1 30 10
allfieldsGer	10.1186/s10086-021-01995-3 doi (DE-627)SPR045440239 (SPR)s10086-021-01995-3-e DE-627 ger DE-627 rakwb eng 660 670 ASE Suzuki, Masaki verfasserin aut Decay detection of constructional softwoods using machine olfaction 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213 Miyauchi, Teruhisa verfasserin aut Isaji, Shinichi verfasserin aut Hirabayashi, Yasushi verfasserin aut Naganawa, Ryuichi verfasserin aut Enthalten in Journal of wood science Tokyo : Springer, 1998 67(2021), 1 vom: 30. Okt. (DE-627)300186010 (DE-600)1481666-0 1611-4663 nnns volume:67 year:2021 number:1 day:30 month:10 https://dx.doi.org/10.1186/s10086-021-01995-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 67 2021 1 30 10
allfieldsSound	10.1186/s10086-021-01995-3 doi (DE-627)SPR045440239 (SPR)s10086-021-01995-3-e DE-627 ger DE-627 rakwb eng 660 670 ASE Suzuki, Masaki verfasserin aut Decay detection of constructional softwoods using machine olfaction 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213 Miyauchi, Teruhisa verfasserin aut Isaji, Shinichi verfasserin aut Hirabayashi, Yasushi verfasserin aut Naganawa, Ryuichi verfasserin aut Enthalten in Journal of wood science Tokyo : Springer, 1998 67(2021), 1 vom: 30. Okt. (DE-627)300186010 (DE-600)1481666-0 1611-4663 nnns volume:67 year:2021 number:1 day:30 month:10 https://dx.doi.org/10.1186/s10086-021-01995-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 67 2021 1 30 10
language	English
source	Enthalten in Journal of wood science 67(2021), 1 vom: 30. Okt. volume:67 year:2021 number:1 day:30 month:10
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topic_facet	Wood decay Wood-decay fungi Gas sensors Machine olfaction Electronic nose
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authorswithroles_txt_mv	Suzuki, Masaki @@aut@@ Miyauchi, Teruhisa @@aut@@ Isaji, Shinichi @@aut@@ Hirabayashi, Yasushi @@aut@@ Naganawa, Ryuichi @@aut@@
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author	Suzuki, Masaki
spellingShingle	Suzuki, Masaki ddc 660 misc Wood decay misc Wood-decay fungi misc Gas sensors misc Machine olfaction misc Electronic nose Decay detection of constructional softwoods using machine olfaction
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topic_title	660 670 ASE Decay detection of constructional softwoods using machine olfaction Wood decay (dpeaa)DE-He213 Wood-decay fungi (dpeaa)DE-He213 Gas sensors (dpeaa)DE-He213 Machine olfaction (dpeaa)DE-He213 Electronic nose (dpeaa)DE-He213
topic	ddc 660 misc Wood decay misc Wood-decay fungi misc Gas sensors misc Machine olfaction misc Electronic nose
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title	Decay detection of constructional softwoods using machine olfaction
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title_full	Decay detection of constructional softwoods using machine olfaction
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author_browse	Suzuki, Masaki Miyauchi, Teruhisa Isaji, Shinichi Hirabayashi, Yasushi Naganawa, Ryuichi
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title_sort	decay detection of constructional softwoods using machine olfaction
title_auth	Decay detection of constructional softwoods using machine olfaction
abstract	Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. © The Author(s) 2021
abstractGer	Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. © The Author(s) 2021
abstract_unstemmed	Abstract Fungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate. © The Author(s) 2021
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_2542 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
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title_short	Decay detection of constructional softwoods using machine olfaction
url	https://dx.doi.org/10.1186/s10086-021-01995-3
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author2	Miyauchi, Teruhisa Isaji, Shinichi Hirabayashi, Yasushi Naganawa, Ryuichi
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Decay detection of constructional softwoods using machine olfaction

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