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Li H, Gui X, Wang P, Yue Y, Li H, Fan X, Li X, Liu R. Research on rapid quality identification method of Panax notoginseng powder based on artificial intelligence sensory technology and multi-source information fusion technology. Food Chem 2024; 440:138210. [PMID: 38118320 DOI: 10.1016/j.foodchem.2023.138210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/13/2023] [Accepted: 12/11/2023] [Indexed: 12/22/2023]
Abstract
Panax notoginseng powder (PNP) has high medicinal value and is widely used in the medical and health food industries. However, the adulteration of PNP in the market has dramatically reduced its efficacy. Therefore, this study intends to use artificial intelligence sensory (AIS) and multi-source information fusion (MIF) technology to try to establish a quality evaluation system for different grades of PNP and adulterated Panax notoginseng powder (AD-PNP). The highest accuracy rate reached 100% in identifying PNP grade and adulteration. In the prediction of adulteration ratio and total saponin content, the optimal determination coefficients of the test set were 0.9965 and 0.9948, respectively, and the root mean square errors were 0.0109 and 0.0123, respectively. Therefore, the grade identification method of PNP and the evaluation system of AD-PNP based on AIS and MIF technology can rapidly and accurately evaluate the quality of PNP.
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Affiliation(s)
- Haiyang Li
- Henan University of Chinese Medicine, Zhengzhou, China
| | - Xinjing Gui
- Henan University of Chinese Medicine, Zhengzhou, China; The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China; Henan Province Engineering Research Center for Clinical Application, Evaluation and Transformation of Traditional Chinese Medicine, Zhengzhou, China; Henan Key Laboratory for Clinical Pharmacy of Traditional Chinese Medicine, Zhengzhou, China
| | - Panpan Wang
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China; Henan Province Engineering Research Center for Clinical Application, Evaluation and Transformation of Traditional Chinese Medicine, Zhengzhou, China; Henan Key Laboratory for Clinical Pharmacy of Traditional Chinese Medicine, Zhengzhou, China
| | - Yousong Yue
- Henan University of Chinese Medicine, Zhengzhou, China
| | - Han Li
- Henan University of Chinese Medicine, Zhengzhou, China
| | - Xuehua Fan
- Henan University of Chinese Medicine, Zhengzhou, China
| | - Xuelin Li
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China; Henan Province Engineering Research Center for Clinical Application, Evaluation and Transformation of Traditional Chinese Medicine, Zhengzhou, China; Henan Key Laboratory for Clinical Pharmacy of Traditional Chinese Medicine, Zhengzhou, China; Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China
| | - Ruixin Liu
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China; Henan Province Engineering Research Center for Clinical Application, Evaluation and Transformation of Traditional Chinese Medicine, Zhengzhou, China; Henan Key Laboratory for Clinical Pharmacy of Traditional Chinese Medicine, Zhengzhou, China; Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China.
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