热改性木材颜色变化的近红外光谱预测

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2016-11-18 DOI:10.1255/jnirs.1252

Li Tong, Wenbo Zhang, W. Lu

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引用次数: 5

摘要

利用近红外光谱(NIR)预测了未经处理和热改性(120°C, 180°C和220°C)的南方松木的颜色变化。采用近红外光谱法评估热化学分解产生的颜色变化信息，用显色仪测定CIE1976 L*a*b*体系中木材表面颜色变化值。采用偏最小二乘法和相应的交叉验证方法建立了标定模型。热改性木材的颜色变化值与近红外光谱之间的密切关系使其易于聚类。所提出的热改性木材颜色预测模型产生了非常高的R2值(高于0.90)，并且非常适合从木材切向表面获得的近红外光谱，这表明该方法可以提供有效的在线质量控制。

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Prediction of Colour Change of Thermally Modified Wood by near Infrared Spectroscopy

Colour changes of untreated and thermally modified (120°C, 180°C and 220°C) southern pine wood are predicted by near infrared spectroscopy (NIR). Colour change information originating from thermal chemical decomposition was assessed by NIR spectroscopy while wood surface colour change values in the CIE1976 L*a*b* system were determined with a colour measurement instrument. Calibration models were built using partial least squares and corresponding cross-validation. A close relationship between colour change values and NIR spectra of thermally modified wood allowed for easy clustering. The proposed colour prediction model for thermally modified wood produced very high R2 values (above 0.90) and was well suited to NIR spectra acquired from wood tangential surfaces, suggesting that the method can provide effective, online quality control.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.