Research on the detection of organic materials using terahertz spectral technology

Guofang Luo; Qiuhong Qu; Qiqi Zhang; Yizhu Zhang; Mingxia He

doi:10.1117/12.3044559

26 September 2024 Research on the detection of organic materials using terahertz spectral technology

Guofang Luo, Qiuhong Qu, Qiqi Zhang, Yizhu Zhang, Mingxia He

Author Affiliations +

Proceedings Volume 13282, Second Advanced Imaging and Information Processing Conference (AIIP 2024); 1328209 (2024) https://doi.org/10.1117/12.3044559
Event: Second Advanced Imaging and Information Processing Conference (AIIP 2024), 2024, Xining, China

Abstract

Terahertz (THz) technology, due to its non-ionizing nature and high sensitivity to the water content in substances, demonstrates significant potential in areas such as tumor analysis, skin tissue examination, burn assessment, and the analysis of traditional Chinese medicine components. This study investigates a novel method for detecting organic materials using THz technology. The experiment involved both normal and skin barrier-damaged mice. Samples were prepared using different methods, including direct slicing, 60°C water bath skin scraping, and enzymatic treatment, and were observed using THz spectral imaging. The study found that mice with damaged skin barriers exhibited significant differences in THz imaging and THz time-domain spectroscopy, reflecting changes in water distribution and tissue structure within the skin. This method not only non-invasively and efficiently reflects differences in skin barrier function but also verifies the accuracy of imaging results through THz time-domain spectroscopy. It shows promise for early diagnosis and monitoring of skin diseases, advancing the fields of dermatology and biomedicine.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guofang Luo, Qiuhong Qu, Qiqi Zhang, Yizhu Zhang, and Mingxia He "Research on the detection of organic materials using terahertz spectral technology", Proc. SPIE 13282, Second Advanced Imaging and Information Processing Conference (AIIP 2024), 1328209 (26 September 2024); https://doi.org/10.1117/12.3044559

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