| dc.description.abstract | In the past, the way to analyze wood can be to observe its appearance characteristics, such as color, texture and smell, etc., and then determine the type and quality of wood. However, the limitation of this analysis method is that it cannot accurately identify the chemical composition and structural properties of wood, so it cannot meet the requirements of modern industry for wood quality control and processing needs. Nowadays, spectroscopic techniques have become the main wood analysis methods, such as infrared spectroscopy, Raman spectroscopy and fluorescence spectroscopy, etc., which can accurately determine the chemical composition, structure and characteristics of wood. The development of modern technology has also promoted the automation and intelligence of wood analysis, which helps to improve the efficiency and accuracy of analysis and reduce the influence of human factors.
This study uses two-photon hyperspectral microscopy as a research tool, analyzes the two-photon fluorescence spectra of three modern softwoods and nine modern hardwoods, and establishes identification models by combining linear separation, PCA and KNN techniques. Possibility of two-photon fluorescence spectroscopy to differentiate softwoods from hardwoods. In order to learn about past violin-making techniques, we compared European violins with Chinese Guqin through alkali-treated and heat-treated modern spruce samples. By this method, we can deeply study past violin-making techniques and further deepen our understanding of Guqin understanding of making.
The fiber structure in wood is the main component of the tracheid cell wall. These fiber bundles are different in the cell wall according to different growth conditions. By recording the cellulose arrangement direction in the tracheid cell wall, we can understand the structure of the cell wall. Photon hyperspectral microscopy photographs wood cellulose double frequency (SHG) to study the distribution and arrangement direction of wood cellulose. | en_US |