Relating MOE decrease and mass loss due to fungal decay in plywood and MDF using resonalyser and X-ray CT scanning

Li, Wanzhao; Bulcke, Jan Van den; Windt, Imke De; Defoirdt, Nele; Dhaene, Jelle; Dierick, Manuel; Sol, Hugo; Acker, Joris Van

doi:10.1016/j.ibiod.2016.03.012

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…Monitoring wood degradation using X-ray tomography or MRI was previously tested in other species, mostly on blocks or planks, and using a single imaging technique (20–22). In grapevine, CT scan allowed visualizing the graft union (23), studying xylem refilling (24) and tyloses-occluded vessels (25), or quantifying starch in stems (26).…”

Section: Discussionmentioning

confidence: 99%

Beyond the foliage: Using non-destructive multimodal 3D imaging and AI to phenotype and diagnose trunk diseases

Fernandez

Cunff

Mérigeaud³

et al. 2022

Preprint

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Worldwide, vineyards sustainability is threatened by grapevine (Vitis vinifera L.) trunk diseases (GTD), which spread insidiously, irreversibly degrading internal trunk tissues and ultimately entailing vine death. Foliar symptoms can erratically appear, but the sanitary status of vines cannot be ascertained without injuring the plants. To tackle this challenge, we developed a novel approach based on multimodal 4D imaging and artificial intelligence (AI)-based image processing that allowed a non-invasive GTD diagnosis. Each imaging modality contribution to tissue discrimination was evaluated, and we identified quantitative structural and physiological markers characterizing wood degradation. The combined study of the anatomical distribution of degraded tissues and the foliar symptom history of plants collected in a vineyard in Champagne, France, demonstrated that white rot and intact tissue contents were key measurements. We finally proposed a model for an accurate GTD diagnosis. This work opens new routes for precision agriculture by permitting field monitoring of GTD and surveying plant health in situ.

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Section: Discussionmentioning

confidence: 99%

Beyond the foliage: Using non-destructive multimodal 3D imaging and AI to phenotype and diagnose trunk diseases

Fernandez

Cunff

Mérigeaud³

et al. 2022

Preprint

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“…This degradation can lead to mass loss and a deterioration of its physical and mechanical properties. Coupled with other nondestructive technologies, CT scanning allows the quantification and monitoring of the changes related to degradation (Hervé et al 2014, Hamada et al 2016, Li et al 2016. Its use in wood degradation research is recent but offers a high potential to improve our understanding of the basic physical and biological principles in action (El Hachem et al 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The central 140 mm region of the specimens was CT-scanned before and after fungal decay. The voxel side length in image reconstruction, performed with Octopus software (Vlassenbroeck et al 2007), was about 80 m. Li et al (2016) reported a strong linear relationship between MOE decrease and the mass loss increase of plywood, which varies with wood species. Thus, the influence of mass loss on MOE decrease depends on the type of plywood.…”

Section: Wood Degradationmentioning

confidence: 98%

“…Based on their results, they indicated that CT image processing and analysis is relevant for measuring the density variations between and within wood samples during fungal biodegradation, i.e., spatially at the millimetre scale within samples. Li et al (2016) examined fungal decay of plywood and medium density fiberboard (MDF) by monitoring strength decrease (modulus of elasticity, MOE) and mass loss of specimens in a laboratory test. The MOE was measured with a resonalyser, which is a nondestructive flexural vibration method, and the internal structure and mass loss distribution were monitored by X-ray CT scanning.…”

Section: Wood Degradationmentioning

confidence: 99%

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Applications of computed tomography (CT) scanning technology in forest research: a timely update and review

Beaulieu

Dutilleul

2019

Can. J. For. Res.

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Organic materials of woody plants are complex and show internal, structural, and morphological variations due to genetic and environmental influences. Variability can be observed in stems, branches, leaves, and roots. Nondestructive and noninvasive technologies have been proposed to assess this variability. Computed tomography (CT) scanning, originally designed for medical diagnostics, permits the measurement of wood properties in situ (e.g., wood density, moisture content, internal defects, annual growth) and crown traits that characterize branching pattern geometry and canopy space occupancy for small-sized trees. Since Wei et al.’s (2011, Can. J. For. Res. 41(11): 2120–2140, doi: 10.1139/x11-111 ) review on the assessment of wood quality for optimized manufacturing processes using a CT scanner, several important developments have occurred, motivating the preparation of an update. We provide technical clarifications about the scales of observation and resolution; report on recent studies in which CT scanning was applied with research objectives beyond wood quality assessment for an optimized manufacturing of forest products; and stress the importance of analytical procedures for the graphical and quantitative analyses of CT scanning data (images and numbers) and the need for specialized algorithms and software. With this review, readers are expected to be well informed of the avenues offered by CT scanning technology in forest research in general.

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“…Therefore, next to visual inspection, more objectives parameters like the evolution of mass and stiffness of the wooden samples are used as indicators for the presence of wood decaying fungi. The stiffness of the samples was determined by means of the Resonalyser technique, a non-destructive flexural vibration method [19]. In this test, an accelerometer is glued onto the sample, which is freely suspended on 2 nylon strings.…”

Section: Figurementioning

confidence: 99%

Performance of wood and wood-based materials regarding fungal decay

et al. 2020

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Due to the increasingly stringent energy efficiency requirements, timber frame houses are becoming more and more popular across Europe. Depending on the circumstances, timber frame walls might be exposed to high relative humidity or condensation conditions, leading to a risk of fungal degradation. In order to assess the durability of a timber frame construction in a reliable way, a clear view on the potential risk of fungal growth is essential. Various experiments are reported in literature to define the minimal moisture threshold for fungal decay, yet all very different in set-up and hence leading to contradictory conclusions. Therefore, the present paper aims at a contribution to a better understanding of the influence of moisture conditions on the onset and progress of wood decay in timber frame walls. Based on the information that is still lacking in international literature, a new test methodology has been elaborated within this work and is reported in this paper.

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Relating MOE decrease and mass loss due to fungal decay in plywood and MDF using resonalyser and X-ray CT scanning

Cited by 5 publications

References 15 publications

Beyond the foliage: Using non-destructive multimodal 3D imaging and AI to phenotype and diagnose trunk diseases

Beyond the foliage: Using non-destructive multimodal 3D imaging and AI to phenotype and diagnose trunk diseases

Applications of computed tomography (CT) scanning technology in forest research: a timely update and review

Performance of wood and wood-based materials regarding fungal decay

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