PHYTOCHEMICAL ANALYSIS
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2024
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IF 3
Kaidi Lv,Chunling Yin,Fang Li,Wenbo Chen,Liuchuang Zhao,Zhimin Liu,Leqian Hu
Introduction Quality evaluation of Huang-qin is significant to ensure its clinical efficacy. Objective This study aims to establish an accurate, rapid and comprehensive Huang-qin quality evaluation method to overcome the time-consuming and laborious shortcomings of traditional herbal medicine quality assessment methods. Methods The contents of baicalin, baicalein and scutellarin in Huang-qin from five different origins were analyzed by FT-IR and NIR spectra combined with multivariate data technology. The quality of Huang-qin from different origins was evaluated by TOPSIS and consistency analysis based on the content of three active ingredients. The correlation between ecological factors and the accumulation of active ingredients was explored. Results Satisfactory prediction results of PLS models were obtained. Relatively, the model based on FT-IR combined with the PLS regression method has higher R 2 and smaller RMSE than the NIR combined with the PLS method. TOPSIS and consistency analysis results showed that the quality of Huang-qin from different geographical origins was significantly different. The results showed that the quality of Huang-qin produced in Shanxi Province was the best among the five origins studied. The results also found that the quality of Huang-qin in different growing areas of the same origin was not completely consistent. The correlation study showed that altitude, sunshine duration and rainfall were the main factors that caused the quality difference of medicinal materials in different geographical origins. Conclusion This study provides a reference for the rapid quantitative analysis of the active components of herbal medicine and the quality evaluation of them.
研究领域:
中药学
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分析化学
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药理学
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产品关联
DOI
PubMed
高影响因子
Frontiers in Plant Science
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2024
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IF 4.1
Jiali Cheng,Fengxia Guo,Liyang Wang,Zhigang Li,Chunyan Zhou,Hongyan Wang,Wei Liang,Xiaofeng Jiang,Yuan Chen,Pengbin Dong
Introduction: The quality of traditional Chinese medicine is based on the content of their secondary metabolites, which vary with habitat adaptation and ecological factors. This study focuses on Lonicera japonica Flos (LJF), a key traditional herbal medicine, and aims to evaluate how ecological factors impact its quality.Methods: We developed a new evaluation method combining high-performance liquid chromatography (HPLC) fingerprinting technology and MaxEnt models to assess the effects of ecological factors on LJF quality. The MaxEnt model was used to predict suitable habitats for current and future scenarios, while HPLC was employed to analyze the contents of key compounds. We also used ArcGIS for spatial analysis to create a quality zoning map.Results: The analysis identified 21 common chromatographic peaks, with significant variations in the contents of Hyperoside, Rutin, Chlorogenic acid, Cynaroside, and Isochlorogenic acid A across different habitats. Key environmental variables influencing LJF distribution were identified, including temperature, precipitation, and elevation. The current suitable habitats primarily include regions south of the Yangtze River. Under future climate scenarios, suitable areas are expected to shift, with notable expansions in southern Gansu, southeastern Tibet, and southern Liaoning. The spatial distribution maps revealed that high-quality LJF is predominantly found in central and southern Hebei, northern Henan, central Shandong, central Sichuan, southern Guangdong, and Taiwan.Discussion: The study indicates that suitable growth areas can promote the accumulation of certain secondary metabolites in plants, as the accumulation of these metabolites varies. The results underscore the necessity of optimizing quality based on cultivation practices. The integration of HPLC fingerprinting technology and the MaxEnt model provides valuable insights for the conservation and cultivation of herbal resources, offering a new perspective on evaluating the impact of ecological factors on the quality of traditional Chinese medicines.
研究领域:
中药学
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生态学
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DOI
PubMed
高影响因子
INDUSTRIAL CROPS AND PRODUCTS
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2016
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IF 3.449
Xin Wang,Minglong Wang,Jianguo Cao,Yuhuan Wu,Jianbo Xiao,Quanxi Wang
Flavonoid extracts of fern are conductive to phylogeny and genesiology as well as pharmacological activities. Ferns are widely distributed in Tianmu Mountain. Flavonoid concentrations and antioxidant activity in extracts of 49 ferns from Tianmu Mountain were investigated and analyzed. The result showed that the total flavonoid contents of 49 ferns ranged from 3.3 to 191.7 mg/g (w/w). Total flavonoid contents and antioxidant activity of fern allies were lower than those of filicinae. Woodwardia japonica a contained the highest flavonoid content (191.7 mg/g). The results also showed that most of ferns from Tianmu Mountain had strong antioxidant activity. The extracts from A. rhomboidea showed the highest DPPH scavenging activity, while extracts from W. japonica a showed the highest ABTS scavenging activity. The flavonoid contents of ferns are affected by ecological factors. In general, ferns living under dimmer sunshine have higher flavonoid contents and stronger ABTS scavenging activity than those living under strong sunshine. The ferns grown in trees, high altitude and high latitude contain higher flavonoid concentrations, whereas the ferns grown in soil, high altitude contain higher antioxidant activity.
研究领域:
植物学
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药理学
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生态学
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产品关联
DOI
高影响因子
Frontiers in Plant Science
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2025
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IF 4.8
Jiacheng Ji,Xinxin Wei,Huan Guan,Zikang Jin,Xin Yue,Zhuoran Jiang,Youla Su,Shuying Sun,Guilin Chen
The efficacy of traditional Chinese medicine is determined by its bioactive components, which exhibit variability depending on environmental conditions and hereditary influences. In this study, we focus on Cynomorium songaricum Rupr., a medicinally significant species facing sustainability challenges. However, the ecological drivers governing its distribution, as well as the relationship between environmental factors and bioactive components, remain unclear. Thus, we sampled 28 representative distribution areas of C. songaricum in China. Employing Maximum Entropy (MaxEnt) modeling, we projected current and future (2050s-2090s) habitat suitability under four emission scenarios. Notably, species distribution exhibited expansion (8.03%-29.06% range increase across scenarios) with precipitation of the wettest month (BIO13) and soil pH emerging as key drivers (combined contribution >49%). Ultra-performance liquid chromatography (UPLC) fingerprinting combined with machine learning regression was applied to quantify six key bioactive components in C. songaricum, 3,4-dihydroxybenzaldehyde, catechin, epicatechin, ursolic acid, total phenolics, and crude polysaccharides—revealing significant concentration variations among geographically distinct populations. Slope gradient (slope), min temperature of coldest month (BIO6), precipitation of coldest quarter (BIO19), sunshine duration in growing season(hsdgs), and isothermality (BIO3) were identified as key regulatory factors influencing the accumulation of multiple components. Specifically, slope acted as a key shared negative regulator for 3,4-dihydroxybenzaldehyde, catechin, and crude polysaccharides. BIO6 served as a key shared positive regulator for catechin and total phenolics, while functioning as a key negative regulator for ursolic acid. BIO19 was identified as a key shared negative regulator for catechin and epicatechin. Hsdgs acted as a key positive regulator for ursolic acid while negatively regulating crude polysaccharides. Additionally, BIO3 served as a key shared positive regulator for both ursolic acid and total phenolics. This study provides the scientific basis for enabling targeted cultivation zones that balance therapeutic compound yield with arid ecosystem conservation.
研究领域:
生态学
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植物学
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药用植物学
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环境科学
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机器学习
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生物地理学
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植物化学
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气候变化影响
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保护生物学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）