Particle size, size distribution and morphological evaluation of airborne dust particles of diverse woods by Scanning Electron Microscopy and image processing program

Mazzoli, Alida; Favoni, O.

doi:10.1016/j.powtec.2012.03.033

Cited by 177 publications

(62 citation statements)

References 10 publications

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“…In particular, Mazzoli and Favoni [44] reported no difference in wood dust particle size and morphology from different wood species, suggesting no dissimilarity for in vitro cytotoxicity. However, wood species that are documented to be carcinogenic, e.g.…”

Section: Resultsmentioning

confidence: 99%

Release of copper-amended particles from micronized copper-pressure-treated wood during mechanical abrasion

et al. 2016

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BackgroundWe investigated the particles released due to abrasion of wood surfaces pressure-treated with micronized copper azole (MCA) wood preservative and we gathered preliminary data on its in vitro cytotoxicity for lung cells. The data were compared with particles released after abrasion of untreated, water (0% MCA)-pressure-treated, chromated copper (CC)-pressure-treated wood, and varnished wood. Size, morphology, and composition of the released particles were analyzed.ResultsOur results indicate that the abrasion of MCA-pressure-treated wood does not cause an additional release of nanoparticles from the unreacted copper (Cu) carbonate nanoparticles from of the MCA formulation. However, a small amount of released Cu was detected in the nanosized fraction of wood dust, which could penetrate the deep lungs. The acute cytotoxicity studies were performed on a human lung epithelial cell line and human macrophages derived from a monocytic cell line. These cell types are likely to encounter the released wood particles after inhalation.ConclusionsOur findings indicate that under the experimental conditions chosen, MCA does not pose a specific additional nano-risk, i.e. there is no additional release of nanoparticles and no specific nano-toxicity for lung epithelial cells and macrophages.Electronic supplementary materialThe online version of this article (doi:10.1186/s12951-016-0232-7) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Release of copper-amended particles from micronized copper-pressure-treated wood during mechanical abrasion

et al. 2016

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“…After allowing the water to evaporate at ambient conditions, samples were sputtered with gold to prepare examination in a Scanning Electron Microscopy (SEM). The measurement of aspect ratio was obtained from the analysis of SEM images using ImageJ (National Institutes of Health, USA) following the procedures described elsewhere [30,31]. For each sample, about 20 SEM images containing around 30000 particles were analyzed.…”

Section: Aspect Ratio Analysismentioning

confidence: 99%

Characterization of micronized wood and energy-size relationship in wood comminution

Jiang

Wang

Zhang

et al. 2017

Fuel Processing Technology

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Mechanical milling demonstrates potential in the pretreatment arena to valorize lignocellulosic biomass because it eliminates chemicals and simplifies processing. The development of physical properties and energy consumption for generating micronized particles are key factors affecting potential use. This study investigated the effect of input moisture content, and feedstock particle size on developing physical characteristics of micronized particles and the resultant specific energy consumption in the milling process. Wood particles with different sizes were effectively comminuted to less than 20-μm within several minutes using a vibratory ring and puck mill. Moisture content was found to be a key factor influencing the development of particle morphology and crystallinity. Lower moisture content resulted in much rounder particles with lower crystallinity, while higher moisture content resulted in the micronized particles with larger aspect ratio and crystallinity. Crystallinity index and median aspect ratio of the micronized particles were linearly correlated. The particle size change during milling was highly correlated to the specific energy consumption of milling through the Rittinger's model (0.91

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“…This approach has been applied to the field of wood panel production, with a framework that joins image processing and computational intelligence to segment and measure woods strands [6]. Furthermore, many approaches have followed this methodology in other fields, such as: biology [7], mining industry [8], [9], [10], or powder classification [11], [12].…”

Section: Related Workmentioning

confidence: 99%

Analyzing images in frequency domain to estimate the quality of wood particles in OSB production

Labati

Genovese

Muñoz

et al. 2016

2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applicati

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Abstract-The analysis of the quality of particulate materials is of great importance for a variety of research and industrial applications. Most image-based methods rely on the segmentation of the image to measure the particles and aggregate their characteristics. However, the segmentation of particulate materials can be severely affected when the setup is not controlled. For instance, when there are device errors, changes in the light conditions, or when the camera gets dirty because of the dust or a similar substance. All of these circumstances are common in industrial setups, like the one studied in this paper. This work presents a framework for quality estimation based on image processing algorithms that avoids segmentation. The considered application scenario is the online quality control of the production of Oriented Strand Boards (OSB), a type of wood panel frequently used in construction and manufacturing industries. The proposed method quantizes frequency domain into a histogram using a non-parametric method, which is later exploited using computational intelligence to classify the quality of superimposed wood particles deposed on a conveyor belt. The method has been tested using synthetic and real images with different noise conditions. The results illustrate the robustness of the approach and its capability to detect significant quality changes in the wood particles.

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Particle size, size distribution and morphological evaluation of airborne dust particles of diverse woods by Scanning Electron Microscopy and image processing program

Cited by 177 publications

References 10 publications

Release of copper-amended particles from micronized copper-pressure-treated wood during mechanical abrasion

Release of copper-amended particles from micronized copper-pressure-treated wood during mechanical abrasion

Characterization of micronized wood and energy-size relationship in wood comminution

Analyzing images in frequency domain to estimate the quality of wood particles in OSB production

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