Color variations in CIELAB coordinates for softwoods and hardwoods under the influence of artificial and natural weathering

Almeida, Tiago Hendrigo de; Almeida, Diego Henrique de; Gonçalves, Débora; Lahr, Francisco Antônio Rocco

doi:10.1016/j.jobe.2020.101965

Cited by 13 publications

(3 citation statements)

References 19 publications

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“…In Meranti wood, changes in the color parameters a* and b* have a more regular pattern. UV rays cause wood color differences in parameters a* and b* at certain times to approach and become stable at around 0 [17]. The color change a*, which tends to be close to 0, is due to cell degradation on the wood surface [18].…”

Section: Resultsmentioning

confidence: 99%

Analysis of Red Meranti Wood Color Change Due to Weather Exposure in Samarinda

Erwin,

Fernandes,

Karyadi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Red Meranti is a high-quality commercial wood that can be used outdoors. Outdoor timber will be exposed to the weather so that, in the long period, it will cause discoloration. This study aims to determine the colour change of meranti wood due to weather exposure for five months. Observation of macroscopic and colorimeter changes in the colour of red meranti wood refers to the ASTM D2244 standard. The results showed that red meranti wood at the beginning of the study was brownish red with L* 64.67, a* 16.13, and b* 17.00. After 150 days, it turned greyish black with L* 50.74, a* 1.25, b* 3.41, and ΔE 24.50. Colour changes in L*, a*, and b* parameters for 150 days followed the estimated growth curve pattern.

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Section: Resultsmentioning

confidence: 99%

Analysis of Red Meranti Wood Color Change Due to Weather Exposure in Samarinda

Erwin,

Fernandes,

Karyadi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Adsorbed acids were then analyzed by means of ion chromatography. The system is described elsewhere [30].…”

Section: Volatile Organic Acid Contentmentioning

confidence: 99%

Lead Corrosion and Corrosivity Classification in Archives, Museums, and Churches

et al. 2022

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Sixteen localities were involved in a broad study, resulting in the classification of the indoor corrosivity of metals considered in the ISO 11844 standard, especially lead. Recently, lead has been added to the standard as a metal specifically sensitive to volatile organic compounds such as acetic acid. Data on one-year exposure in museum depositories and exhibition spaces, archives, libraries, and churches show that the currently valid lead corrosivity categories are not correctly defined. The obtained data allowed for the proposal of new realistic ranges of indoor corrosivity categories for lead. The exposure program was also used to validate techniques for determining the corrosion degradation of metal coupons. Mass increase and mass loss techniques were supplemented with the galvanostatic reduction technique and the measurement of color changes. The study identified the limitations of the mass gain method. Not only is the galvanostatic reduction technique applicable for silver and copper coupons, but the build-up of reducible lead corrosion products depends on air corrosivity. CIELab color-change measurement has proven to be a simple and easy-to-apply method for monitoring the corrosivity of indoor atmospheres with regard to lead. A more reliable response is provided by the determination of color change after 3 months of exposure rather than after one year.

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“…Many experiments on wood photodegradation are conducted using natural sunlight. Results are significant and substantial, although it requires longer time period that can take hundreds of days [14,15]. Additionally, natural weathering is heavily reliant on the weather conditions, which are not constant and are difficult to control [16].…”

Section: Introductionmentioning

confidence: 99%

Application of image processing programs in color analysis of wood photodegradation

Plata

Santos²

2022

J. Phys.: Conf. Ser.

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In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradation studies. Aside from structural changes based on chemical analysis, color change assessment can also be employed to check any extent of degradation on wood without the need for sophisticated analytical equipment. This study presents the application of two image processing programs in color analysis of wood photodegradation: ImageJ and Colormath library, which are Java-based and Python-based software, respectively. Images of unexposed and UV-exposed wood samples were taken using a smartphone as an affordable digital camera. RGB channel values from these images were analyzed and quantified by ImageJ software. These values were converted to the corresponding CIEL*a*b* parameters using the Colormath library to calculate the color change, ΔE. For the 3-hour exposed sample, ?E is equal to 4.29. This value indicates appreciable color change, according to the criteria from literature. Regardless of the exposure time, the wood samples become darker as indicated by the negative value in the change in lightness L*

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Color variations in CIELAB coordinates for softwoods and hardwoods under the influence of artificial and natural weathering

Cited by 13 publications

References 19 publications

Analysis of Red Meranti Wood Color Change Due to Weather Exposure in Samarinda

Analysis of Red Meranti Wood Color Change Due to Weather Exposure in Samarinda

Lead Corrosion and Corrosivity Classification in Archives, Museums, and Churches

Application of image processing programs in color analysis of wood photodegradation

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