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     Advance Journal of Food Science and Technology


Cluster Analysis on Edible and Health Foods of Traditional Chinese Medicine Paste

1, 2Ru Lixian and 3Chen Xianhai
1Shandong University of Traditional Chinese Medicine, Jinan, 250001
2School Hospital, Qilu Industrial University, Jinan 250100
3Department of Pulmonary Disease, the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China
Advance Journal of Food Science and Technology  2015  3:189-192
http://dx.doi.org/10.19026/ajfst.8.1490  |  © The Author(s) 2015
Received: December ‎4, ‎2014  |  Accepted: January ‎21, ‎2015  |  Published: May 15, 2015

Abstract

Objective Researched on use and distribution of edible and medicinal foods in paste and provided a new idea for prevention and health care of traditional Chinese Medicine and food. Method with the Excel tab and SPSS19.0 statistical software, counted utilization of edible and medicinal foods in every paste and clustering analyzed edible and medicinal foods in all paste. Result After the statistics found that all paste contained 21 medicinal and edible food, which divided into 4 classes by the system clustering analysis, first classes to reinforce the main drugs, second kinds to reconcile the herbs, third class help digestion and promote the circulation of qi, the fourth to eliminate dampness and reduce phlegm. Discussion System clustering analysis method can make edible and medicinal foods in paste quantization and classification, help to analyze the correlation between paste and edible and medicinal foods and the law of utilization of edible and medicinal foods in paste and Provide research method for the organic combination of Chinese medicine and food in the field of health care.

Keywords:

Cluster analysis, food, paste, traditional Chinese medicine,


References

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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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