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Study on glycoprotein terahertz time-domain spectroscopy based on composite multiscale entropy feature extraction
Pingjie Huang1, Zhangwei Huang1, Xiaodong Lu1
1State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, People's Republic of China.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|December 31, 2019
Summary
Terahertz spectroscopy reveals a nonlinear relationship between glycoprotein concentration and absorption. The composite multiscale entropy (CMSE) method shows potential for identifying glycoprotein tumor markers using terahertz technology.
Area of Science:
- Biophysics
- Medical Physics
- Spectroscopy
Background:
- Tumor genesis involves protein glycosylation, making glycoproteins potential tumor markers due to higher consumption by cancer cells.
- Terahertz (THz) spectroscopy offers a non-ionizing method for analyzing biological molecules.
Purpose of the Study:
- To investigate the terahertz time-domain attenuated total reflection (ATR) technique for analyzing glycoprotein solutions.
- To explore the relationship between glycoprotein concentration and THz absorption.
- To evaluate feature extraction methods for glycoprotein identification using THz spectroscopy.
Main Methods:
- Terahertz time-domain attenuated total reflection (ATR) technique was used to analyze glycoprotein solutions across a concentration range (0.2–50 mg/ml).
- Composite multiscale entropy (CMSE) and Principal Component Analysis (PCA) were employed for feature extraction.
- K-means clustering was utilized for data analysis.
Main Results:
- A significant nonlinear relationship was observed between the absorption coefficient and glycoprotein concentration.
- The CMSE method demonstrated superior specificity and sensitivity compared to PCA for glycoprotein recognition.
- Absorption coefficient and dielectric loss angle tangent were identified as suitable parameters for qualitative identification.
Conclusions:
- The study highlights the potential of THz spectroscopy and the CMSE method for the identification of glycoprotein-related tumor markers.
- The findings suggest THz technology could be valuable for medical applications in cancer diagnostics.
- Understanding the THz absorption dynamics, including THz excess and THz defect, is crucial for interpreting glycoprotein spectra.
Keywords:
Absorption coefficientComposite multiscale entropy (CMSE)Dielectric loss tangentGlycoproteinTerahertz time-domain attenuated total reflection spectroscopyTumor marker identification
