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Updated: Jun 22, 2026

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
Published on: June 10, 2017
Multiple perturbation two-dimensional correlation analysis of cellulose by attenuated total reflection infrared
Hideyuki Shinzawa1, Shin-Ich Morita, Kimie Awa
1Optical Biopsy Development Research Unit, RIKEN, Saitama, Japan. hshinzawa@riken.jp
This study introduces a new multi-dimensional analysis for microscopic imaging data. It reveals how cellulose crystallinity affects water evaporation rates during drying processes.
Area of Science:
- Spectroscopy and Analytical Chemistry
- Materials Science
- Physical Chemistry
Background:
- Two-dimensional (2D) correlation analysis is a powerful tool for analyzing complex spectral data.
- Analyzing systems with multiple independent perturbations, such as material properties and environmental conditions, presents significant challenges.
- Understanding the interplay between material structure and dynamic processes is crucial in various scientific fields.
Purpose of the Study:
- To extend the two-dimensional (2D) correlation analysis scheme to handle multi-dimensional perturbations.
- To develop a computational method for constructing synchronous correlation and disrelation maps for microscopic imaging data.
- To investigate the complex behavior of water and cellulose mixtures during water evaporation under varying grinding times.
Main Methods:
- Development of an extended two-dimensional (2D) correlation analysis for multi-dimensional perturbation.
- Implementation of a computational form for synchronous correlation and disrelation map construction.
- Acquisition of time-dependent attenuated total reflection infrared (ATR-IR) spectra from water and cellulose mixtures during water evaporation.
Main Results:
- The multiple perturbation 2D analysis successfully identified complex behaviors in the water-cellulose system.
- A specific difference in the rate of water molecule evaporation was observed in relation to changes in cellulose crystallinity.
- Subtle differences in water volatility were detected and linked to the crystalline structure of cellulose.
Conclusions:
- The developed multi-dimensional 2D correlation analysis is effective for complex systems with multiple perturbations.
- Cellulose crystallinity significantly influences the evaporation rate of water molecules.
- The study highlights the relationship between water volatility and the structural properties of cellulose.
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Published on: May 10, 2016
10:46Comprehensive Compositional Analysis of Plant Cell Walls (Lignocellulosic biomass) Part II: Carbohydrates
Published on: March 12, 2010
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