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Zeng Q, Cheng Z, Li L, Yang Y, Peng Y, Zhou X, Zhang D, Hu X, Liu C, Chen X. Quantitative analysis of the quality constituents of Lonicera japonica Thunberg based on Raman spectroscopy. Food Chem 2024; 443:138513. [PMID: 38277933 DOI: 10.1016/j.foodchem.2024.138513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024]
Abstract
Quantitative analysis of the quality constituents of Lonicera japonica (Jinyinhua [JYH]) using a feasible method provides important information on its evaluation and applications. Limitations of sample pretreatment, experimental site, and analysis time should be considered when identifying new methods. In response to these considerations, Raman spectroscopy combined with deep learning was used to establish a quantitative analysis model to determine the quality of JYH. Chlorogenic acid and total flavonoids were identified as analysis targets via network pharmacology. High performance liquid chromatograph and ultraviolet spectroscopy were used to construct standard curves for quantitative analysis. Raman spectra of JYH extracts (1200) were collected. Subsequently, models were built using partial least squares regression, Support Vector Machine, Back Propagation Neural Network, and One-dimensional Convolutional Neural Network (1D-CNN). Among these, the 1D-CNN model showed superior prediction capability and had higher accuracy (R2 = 0.971), and lower root mean square error, indicating its suitability for rapid quantitative analysis.
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Affiliation(s)
- Qi Zeng
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China
| | - Zhaoyang Cheng
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China
| | - Li Li
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yuhang Yang
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yangyao Peng
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China
| | - Xianzhen Zhou
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China
| | - Dongjie Zhang
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China
| | - Xiaojia Hu
- Shanghai Nature's Sunshine Health Products Co. Ltd, Shanghai 200040, China
| | - Chunyu Liu
- Zests Biotechnology Co. Ltd, Suzhou City 215143, China
| | - Xueli Chen
- Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China; Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China.
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Li Y, Li W, Fu C, Song Y, Fu Q. Lonicerae japonicae flos and Lonicerae flos: a systematic review of ethnopharmacology, phytochemistry and pharmacology. Phytochem Rev 2020; 19:1-61. [PMID: 32206048 PMCID: PMC7088551 DOI: 10.1007/s11101-019-09655-7] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 11/11/2019] [Indexed: 05/05/2023]
Abstract
Lonicerae japonicae flos (called Jinyinhua, JYH in Chinese), flowers or flower buds of Lonicera japonica Thunberg, is an extremely used traditional edible-medicinal herb. Pharmacological studies have already proved JYH ideal clinical therapeutic effects on inflammation and infectious diseases and prominent effects on multiple targets in vitro and in vivo, such as pro-inflammatory protein inducible nitric oxide synthase, toll-like receptor 4, interleukin-1 receptor. JYH and Lonicerae flos [called Shanyinhua, SYH in Chinese, flowers or flower buds of Lonicera hypoglauca Miquel, Lonicera confusa De Candolle or Lonicera macrantha (D.Don) Spreng] which belongs to the same family of JYH were once recorded as same herb in multiple versions of Chinese Pharmacopoeia (ChP). However, they were listed as two different herbs in 2005 Edition ChP, leading to endless controversy since they have close proximity on plant species, appearances and functions, together with traditional applications. In the past decades, there has no literature regarding to systematical comparison on the similarity concerning research achievements of the two herbs. This review comprehensively presents similarities and differences between JYH and SYH retrospectively, particularly proposing them the marked differences in botanies, phytochemistry and pharmacological activities which can be used as evidence of separate list of JYH and SYH. Furthermore, deficiencies on present studies have also been discussed so as to further research could use for reference.
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Affiliation(s)
- Yuke Li
- Pharmacy College of Chengdu University of Traditional Chinese Medicine, Chengdu, 611137 People’s Republic of China
| | - Wen Li
- Pharmacy College of Chengdu University of Traditional Chinese Medicine, Chengdu, 611137 People’s Republic of China
| | - Chaomei Fu
- Pharmacy College of Chengdu University of Traditional Chinese Medicine, Chengdu, 611137 People’s Republic of China
| | - Ying Song
- Teaching Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610075 People’s Republic of China
| | - Qiang Fu
- School of Pharmacy and Bioengineering, Chengdu University, Chengdu, 610106 People’s Republic of China
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