Modelling light-induced discoloration of 40 wood species used in artistic objects: a colorimetric and chemometric approach

Lignocellulosic surfaces in heritage artifacts are susceptible to irreversible light-induced degradation. This study quantifies UV-B-induced discoloration across 40 wood species and assesses whether baseline CIELAB parameters predict photostability. After 240 h of UV-B exposure, color changes were monitored by colorimetry. Photo-yellowing was dominant and strongly correlated with Δ E * ( r = 0.811, p < 0.001). A regression model explained 48.5% of Δ E * variance ( R 2 = 0.485, RMSE = 2.52); higher initial yellowness was associated with less discoloration, although the underlying cause requires further investigation of the wood’s chemical structure. Stratified models showed greatest explanatory power for below-median b * ( R 2 = 0.687, RMSE = 1.98) and above-median C * ( R 2 = 0.660, RMSE = 2.07). PCA identified coupled yellowing–reddening and lightness-shift patterns. K -means clustering identified four photostability cohorts, enabling a matrix linking color compatibility and photostability. Findings support considering photostability in wood selection for conservation and artworks, while highlighting the need to incorporate chemical properties in future models.

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Publication Details

Journal
npj Heritage Science
Published
2026-09-11
DOI
https://doi.org/10.1038/s40494-026-02979-6
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
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Modelling light-induced discoloration of 40 wood species used in artistic objects: a colorimetric and chemometric approach

Alireza Koochakzaei, Sina Askari-Hasanluie
npj Heritage Science
Cultural Heritage Materials Analysis
article

Modelling light-induced discoloration of 40 wood species used in artistic objects: a colorimetric and chemometric approach

Alireza Koochakzaei, Sina Askari-Hasanluie
article en

Abstract

Lignocellulosic surfaces in heritage artifacts are susceptible to irreversible light-induced degradation. This study quantifies UV-B-induced discoloration across 40 wood species and assesses whether baseline CIELAB parameters predict photostability. After 240 h of UV-B exposure, color changes were monitored by colorimetry. Photo-yellowing was dominant and strongly correlated with Δ E * ( r = 0.811, p < 0.001). A regression model explained 48.5% of Δ E * variance ( R 2 = 0.485, RMSE = 2.52); higher initial yellowness was associated with less discoloration, although the underlying cause requires further investigation of the wood’s chemical structure. Stratified models showed greatest explanatory power for below-median b * ( R 2 = 0.687, RMSE = 1.98) and above-median C * ( R 2 = 0.660, RMSE = 2.07). PCA identified coupled yellowing–reddening and lightness-shift patterns. K -means clustering identified four photostability cohorts, enabling a matrix linking color compatibility and photostability. Findings support considering photostability in wood selection for conservation and artworks, while highlighting the need to incorporate chemical properties in future models.

npj Heritage Science
Tabriz Islamic Arts University (IR)
Openalex Percentile: Top 4%
Cultural Heritage Materials Analysis
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Modelling light-induced discoloration of 40 wood species used in artistic objects: a colorimetric and chemometric approach — Alireza Koochakzaei, Sina Askari-Hasanluie · npj Heritage Science (2026) | TGRS Research Map | TGRS