Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on identification of medicinal materials by near and mid infrared spectroscopy

Download as PDF

DOI: 10.23977/jipta.2021.41009 | Downloads: 4 | Views: 267

Author(s)

Yifan Cheng 1

Affiliation(s)

1 Linyi University, Linyi, Shandong, 276005, China

Corresponding Author

Yifan Cheng

ABSTRACT

In this paper, the characteristics and differences of medicinal materials from different origin were analyzed and the origin was identified according to the data of mid-infrared spectrum. Firstly, data integration was carried out, which was divided into 11 producing areas according to data standards,and the mid-infrared spectrograms of medicinal materials[1] from different producing areas were drawn by MATLAB. According to this, it was found that the spectrograms of the same medicinal materials from different producing areas had small differences, and the absorbance of some producing areas was higher than that of others, and there were slight differences in the trend of waveform changes. Potential semantic analysis model was established to obtain similarity function and correlation calculation to obtain the result of origin identification.

KEYWORDS

characteristics and differences, mid-infrared spectrum, Potential semantic analysis model

CITE THIS PAPER

Yifan Cheng. Research on identification of medicinal materials by near and mid infrared spectroscopy. Journal of Image Processing Theory and Applications (2021) Vol. 4: 56-59. DOI: http://dx.doi.org/10.23977/jipta.2021.41009.

REFERENCES

[1] An Shujing, WANG Ting, Niu Dou, et al. Identification and analysis of Cornus officinalis from different producing areas based on mid-infrared spectroscopy combined with stoichiometry [J]. Chinese Journal of Traditional Chinese Medicine, 49(8): 6.
[2] LI Shuifang, Shan Yang, ZHU Xiangrong, et al. Near infrared spectroscopy combined with stoichiometry was used to determine the origin of honey [J]. Transactions of the Chinese Society of Agricultural Engineering, 2011(08): 350-354.
[3] TENG Y.Application of partial least square method in spectral analysis [J]. Application of Integrated Circuits, 37(1): 2. (In Chinese)

Downloads: 603
Visits: 38148

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.