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<p>An essential task in the wood-based sector is the identification, management, and monitoring of thermally treated wood. Establishing a rapid and precise inspection model and procedure is essential for this purpose. To achieve this, Principal Component Analysis and Soft Independent Modeling of Class Analogy (SIMCA) were employed to categorize wooden specimens of <i>Populus deltoides</i> subjected to hydrothermal treatment at temperatures of 125&#xa0;°C, 175&#xa0;°C, and 200&#xa0;°C, with varying durations of 20 and 40&#xa0;min. SIMCA calibration models were developed using 70% of the specimens for each treatment type, while the remaining 30% served as a classification test set. The results revealed that SIMCA successfully identified hydrothermal treatment wood specimen with temperatures of 175&#xa0;°C and 200&#xa0;°C, as well as the control, for both time (20 and 40&#xa0;min) durations. However, accurate classification for the hydrothermal temperature of 125&#xa0;°C was not achieved. In combined SIMCA model exhibited difficulty in distinguishing between the different time durations. Findings of this primarily study suggest the need for a more in-depth study to fully grasp the procedure and facilitate the effective transfer of technology from laboratory settings to industrial applications.</p>

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A rapid and non-invasive classification of hydrothermally modified wood material using integrated approach of NIR spectroscopy and SIMCA

  • 期刊论文

  • 发表日期：

    2025年1月23日

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  • Shailendra Kumar,
  • Aasheesh Raturi

摘要

An essential task in the wood-based sector is the identification, management, and monitoring of thermally treated wood. Establishing a rapid and precise inspection model and procedure is essential for this purpose. To achieve this, Principal Component Analysis and Soft Independent Modeling of Class Analogy (SIMCA) were employed to categorize wooden specimens of Populus deltoides subjected to hydrothermal treatment at temperatures of 125 °C, 175 °C, and 200 °C, with varying durations of 20 and 40 min. SIMCA calibration models were developed using 70% of the specimens for each treatment type, while the remaining 30% served as a classification test set. The results revealed that SIMCA successfully identified hydrothermal treatment wood specimen with temperatures of 175 °C and 200 °C, as well as the control, for both time (20 and 40 min) durations. However, accurate classification for the hydrothermal temperature of 125 °C was not achieved. In combined SIMCA model exhibited difficulty in distinguishing between the different time durations. Findings of this primarily study suggest the need for a more in-depth study to fully grasp the procedure and facilitate the effective transfer of technology from laboratory settings to industrial applications.