Abstract
Moisture sorption has a significant impact on the performance of heat-treated wood. In order to better characterize moisture sorption of heat-treated wood, a method for rapid determination of moisture content (MC) of nanogram-scaled heat-treated wood is proposed in this work. During moisture adsorption process, micro-Fourier transform infrared (FTIR) spectra of heat-treated wood were recorded. Spectral analysis was applied to these measured spectra, and then moisture adsorption sites and spectral ranges affected by moisture sorption were identified. Meanwhile, moisture contents (MCs) of heat-treated wood at various relative humidity (RH) levels were measured by using dynamic vapor sorption (DVS) setup. Based on these spectral ranges and MCs, a quantitative forecasting model was established using partial least-square regression (PLSR). Furthermore, the developed forecasting model was applied to acquire moisture sorption isotherm of heat-treated wood, in which a very positive correlation between predicted and measured MCs was observed. It was confirmed that this method was effective for rapid detection of MC of nanogram-scaled heat-treated wood which had unique advantages of rapid analysis (second level) and less sample consumption (nanogram level).
Highlights
Wood is a green and renewable building material, and it has been widely used in construction industry, furniture production and pulping and papermaking industry [1,2,3]
Moisture content (MC) is one of the key aspects, which is mainly measured by gravimetric methods, especially dynamic vapor sorption (DVS)
Considering that micro-Fourier transform infrared (FTIR) spectroscopy has the ability to study micron-sized sample [37, 38], in this study, we developed a method for rapid detection of MC of nanogram-scaled heat-treated wood
Summary
Wood is a green and renewable building material, and it has been widely used in construction industry, furniture production and pulping and papermaking industry [1,2,3]. A deeper research on moisture sorption of heat-treated wood is extremely important. Metsä-Kortelainen et al [11] confirmed that heat-treated Scots pine (Pinus sylvestris) and Norway spruce (Picea abies) have lower MCs than those untreated samples whose dimensions were 22 × 65 × 150 mm. Hill et al [12] employed the DVS apparatus to acquire MCs of heat-treated Scots pine (Pinus sylvestris L.) in the relative humidity (RH) range from 0 to 95%. Using DVS apparatus, the sorption isotherms of other heat-treated wood including acacia (Acacia mangium) [13], sesendok (Endospermum malaccense) [14], scots pine (Pinus sylvestris L.) [15,16,17] and Eucalyptus pellita [18] were
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