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Megastigmane glucosides isolated from Dichrocephala benthamii

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Chinese Journal of Natural Medicines 2017年第4期15卷 288-291页

作者： SONG Bo SI Jin-Guang YU Meng TIAN Xiao-Hui DING Gang zou zhong-mei Institute of Medicinal Plant Development Peking Union Medical College and Chinese Academy of Medical SciencesBeijing 100193China Henan University of Traditional Chinese Medicine Zhengzhou 450016 China

The present study was designed to investigate the chemical constituents of the whole herb of Dichrocephala benthamii. A new megastigmane glucoside(compound 1), together with its four known analogues(compounds 2-5), was obtained. Their structures were elucidated on the basis of spectroscopic analyses(UV, IR, MS, and 1D and 2D NMR). The absolute configuration of compound 1was assigned on the basis of CD method and chemical evidence. In addition, their cytotoxicity against human hepatoma cells(Hep G-2) was evaluated by the MTT method. Compound 5 showed weak activity against Hep G-2, while the other compounds did not show remarkable inhibitory effects.

关键词： Asteraceae Dichrocephala benthamii Megastigmane glucoside Cytotoxicity

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毛叶巴豆中甾醇类化合物的研究

中国药学杂志 2008年第12期43卷 897-899页

作者：王媛邹忠梅中国医学科学院一中国协和医科大学药用植物研究所北京100193

目的研究大戟科（Euphorbiaceae）植物毛叶巴豆（Croton caudatus *** Hook.）茎的化学成分。方法利用硅胶和凝胶色谱分离纯化化合物,根据现代波谱学技术（MS、^1H-NMR、^13C-NMR）进行结构鉴定。结果从毛叶巴豆茎的体积分数95%乙醇提... 详细信息

目的研究大戟科（Euphorbiaceae）植物毛叶巴豆（Croton caudatus *** Hook.）茎的化学成分。方法利用硅胶和凝胶色谱分离纯化化合物,根据现代波谱学技术（MS、^1H-NMR、^13C-NMR）进行结构鉴定。结果从毛叶巴豆茎的体积分数95%乙醇提取物中分离得到12个甾醇,分别为（24R）-5α-豆甾-3,6-二酮（1）、豆甾烷-22-烯-3,6-二酮（2）、β-豆甾烷（3）、（24S）-3β,5α,6β-三羟基-豆甾烷（4）、胡萝卜苷（5）、β-谷甾醇醋酸酯（6）、3β-羟基-豆甾-5-烯-7-酮（7）、7-氧基豆甾醇（8）、7α-羟基谷甾醇（9）、7α-羟基豆甾醇（10）、7β-羟基谷甾醇（11）、7β-羟基豆甾醇（12）。结论以上化合物均为首次从该植物分离得到,其中化合物2,4,6～12共9个化合物为首次从该属植物中分离得到。

关键词：大戟科毛叶巴豆化学成分甾醇傣药

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang zhongyue zou Xuesong mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Contrastive Learning

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菝葜的化学成分研究

中国中药杂志 2008年第21期33卷 2497-2499页

作者：徐燕梁敬钰邹忠梅中国医学科学院中国协和医科大学药用植物研究所北京100193 中国药科大学天然药化教研室江苏南京210009

目的:对百合科菝葜属植物菝葜Smilaxchina干燥的根茎进行化学成分研究。方法:采用硅胶、凝胶色谱法进行分离纯化,并运用现代波谱技术(ESI-MS,1H-NMR,13C-NMR)进行结构鉴定。结果:从菝葜的醋酸乙酯部分分离得到13个化合物,分别鉴定为:山... 详细信息

目的:对百合科菝葜属植物菝葜Smilaxchina干燥的根茎进行化学成分研究。方法:采用硅胶、凝胶色谱法进行分离纯化,并运用现代波谱技术(ESI-MS,1H-NMR,13C-NMR)进行结构鉴定。结果:从菝葜的醋酸乙酯部分分离得到13个化合物,分别鉴定为:山柰酚-7-O-β-D-葡萄糖苷(1),黄杞苷(2),异黄杞苷(3),山柰酚(4),二氢山柰酚(5),二氢山柰酚-5-O-β-D-葡萄糖苷(6),芦丁(7),山柰酚-5-O-β-D-葡萄糖苷(8),白藜芦醇(9),香草酸(10),3,5-二甲氧基-4-O-β-D-吡喃葡萄糖基肉桂酸(11),β-谷甾醇(12),β-胡萝卜苷(13)。结论:化合物1,3,7,8,11为首次从该种植物中分离得到,化合物8,11为首次从该属中分离得到。

关键词：菝葜黄酮酚酸芪类甾醇

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毛叶巴豆中的倍半萜类成分(英文)

中国天然药物 2008年第5期6卷 339-341页

作者：王媛邹忠梅中国医学科学院中国协和医科大学药用植物研究所北京100193

从毛叶巴豆茎中分离得到2个倍半萜类化合物,其中化合物1为一个新化合物,应用HREI-MS,1H-NMR,13C-NMR,1H-1H COSY,HMQC,HMBC和NOESY等光谱测定了其结构,并命名为毛叶巴豆醇。然而,文献检索发现该结构被错误地鉴定为Homalomenol D,通过仔... 详细信息

从毛叶巴豆茎中分离得到2个倍半萜类化合物,其中化合物1为一个新化合物,应用HREI-MS,1H-NMR,13C-NMR,1H-1H COSY,HMQC,HMBC和NOESY等光谱测定了其结构,并命名为毛叶巴豆醇。然而,文献检索发现该结构被错误地鉴定为Homalomenol D,通过仔细分析文献报道的核磁数据并与化合物1比较,发现文献中Homalomenol D结构鉴定有误,应该修正为5-表毛叶巴豆醇。化合物2鉴定为日本刺参萜酮。

关键词：毛叶巴豆大戟科倍半萜毛叶巴豆醇 Homalomenol D 日本刺参萜酮

High‑Entropy Electrode Materials:Synthesis,Properties and Outlook

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Nano-Micro Letters 2025年第1期17卷 472-506页

作者： Dongxiao Li Chang Liu Shusheng Tao Jieming Cai Biao zhong Jie Li Wentao Deng Hongshuai Hou Guoqiang zou Xiaobo Ji College of Chemistry and Chemical Engineering Central South UniversityChangsha 410083People’s Republic of China School of Chemistry and Chemical Engineering Hunan Institute of EngineeringXiangtan 411104People’s Republic of China

High-entropy materials represent a new category of high-performance materials,first proposed in 2004 and extensively investigated by researchers over the past two *** definition of high-entropy materials has continuously *** the last ten years,the discovery of an increasing number of high-entropy materials has led to significant advancements in their utilization in energy storage,electrocatalysis,and related domains,accompanied by a rise in techniques for fabricating high-entropy electrode ***,the research emphasis has shifted from solely improving the performance of high-entropy materials toward exploring their reaction mechanisms and adopting cleaner preparation ***,the current definition of high-entropy materials remains relatively vague,and the preparation method of high-entropy materials is based on the preparation method of single metal/low-or medium-entropy *** should be noted that not all methods applicable to single metal/low-or medium-entropy materials can be directly applied to high-entropy *** this review,the definition and development of high-entropy materials are briefly ***,the classification of high-entropy electrode materials is presented,followed by a discussion of their applications in energy storage and catalysis from the perspective of synthesis ***,an evaluation of the advantages and disadvantages of various synthesis methods in the production process of different high-entropy materials is provided,along with a proposal for potential future development directions for high-entropy materials.

关键词： High-entropy Energy storage Electrode materials

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鬼针草全草中一个新的橙酮苷类化合物

药学学报 2024年第6期59卷 1757-1764页

作者：刘畅韩玉刘娇张涛邹忠梅河南中医药大学河南郑州450046 中国医学科学院北京协和医学院药用植物研究所北京100193 沈阳药科大学辽宁沈阳110016

采用硅胶柱色谱、聚酰胺柱色谱、Sephadex LH-20柱色谱、MCI柱色谱及半制备高效液相色谱等技术手段从鬼针草(Bidens pilosa L.)全草95%乙醇提取物分离纯化得到10个化合物。依据其理化性质、波谱数据(UV、IR、MS、NMR)等鉴定了化合物的结... 详细信息

采用硅胶柱色谱、聚酰胺柱色谱、Sephadex LH-20柱色谱、MCI柱色谱及半制备高效液相色谱等技术手段从鬼针草(Bidens pilosa L.)全草95%乙醇提取物分离纯化得到10个化合物。依据其理化性质、波谱数据(UV、IR、MS、NMR)等鉴定了化合物的结构,分别为鬼针草橙酮苷A(1)、Z-6-O-(4″-O-乙酰基-6″-O-p-香豆酰基-β-D-吡喃葡萄糖基)-6,7,3′,4′-四羟基橙酮(2)、okanin 4′-O-β-D-(4″,6″-diacetyl)-glucopyranoside(3)、Z-6-O-(6″-O-乙酰基-β-D-吡喃葡萄糖基)-6,7,3′,4′-四羟基橙酮(4)、6,7,3′,4′-四羟基橙酮(5)、Z-6-O-(6-O-香豆酰基-β-D-吡喃葡萄糖基)-6,7,3′,4′-四羟基橙酮(6)、Z-6-O-(4′,6′-乙酰基-β-D-吡喃葡萄糖基)-6,7,3′,4′-四羟基橙酮(7)、Z-6-O-(6″-O-p-香豆酰基-β-D-吡喃葡萄糖基)-6,7,3′,4′-四羟基橙酮(8)、木犀草素(9)、7-O-β-D-glucopyranosyl-5,3′-dihydroxy-3,6,4′-trimethoxyflavone(10)。其中,化合物1为新化合物。化合物4和9能够一定程度上抑制油酸钠−棕榈酸钠诱导的人肝HepG2细胞脂质沉积。分子对接技术预测其发挥降脂活性的潜在作用靶点可能为过氧化物酶体增殖物激活受体γ(PPARγ)。

关键词：菊科鬼针草化学成分橙酮降脂作用

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玉米须的化学成分

中国天然药物 2008年第3期6卷 237-238页

作者：徐燕邹忠梅梁敬钰中国医学科学院中国协和医科大学药用植物研究所北京100093 中国药科大学天然药化教研室南京210009

AIM:To study the chemical constituents of the style of Zea mays ***:The constituents were isolated and purified by various chromatographic methods,and their structures were identified by spectroscopic ***:Nine compounds were obtained and their structures were elucidated as β-sitosterol(1),chrysoeriol(2),chrysoeriol 6-C-β-boivino-pyranosyl(3),chrysoeriol 6-C-β-boivinopyranosyl-7-O-β-glucopyranoside(4),ax-4″-OH-3’-methoxy-maysin(5),p-coumaric acid(6),vanillic acid(7),aurantiamide acetate(8),pseudolario acid E(9).CONCLUSION:Compounds 2,6-9 were isolated from the style of Zea mays *** the first time.

关键词：玉米须黄酮 aurantiamide acetate 土槿戊酸

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桂枝中桂皮醛、肉桂酸的含量与分布研究

中国药学杂志 2005年第23期40卷 1784-1787页

作者：林佳徐丽珍刘江云邹忠梅中国医学科学院-中国协和医科大学药用植物研究所北京100094

目的以桂皮醛和肉桂酸为指标,优化桂枝的提取工艺,并测定不同地区桂枝中桂皮醛及肉桂酸的含量,探讨桂枝皮部与木质部的含量差异。方法高效液相色谱法。色谱柱:Kromasil C18(4．6 mm×250 mm,5μg);流动相:乙腈-0．I％磷酸水溶液 (43:5... 详细信息

目的以桂皮醛和肉桂酸为指标,优化桂枝的提取工艺,并测定不同地区桂枝中桂皮醛及肉桂酸的含量,探讨桂枝皮部与木质部的含量差异。方法高效液相色谱法。色谱柱:Kromasil C18(4．6 mm×250 mm,5μg);流动相:乙腈-0．I％磷酸水溶液 (43:57);检测波长:285 nm,温度:20℃,流速:1 mL·min-1。结果确定了桂枝提取的最佳工艺,即用甲醇50 mL,60℃热提40 min,可使桂皮醛和肉桂酸充分地被提取。结论测得广西平南县桂枝中桂皮醛的含量最高,广西防城市桂枝中肉桂酸的含量最高。桂枝皮部中桂皮醛的含量较高,木质部中肉桂酸的含量较高。

关键词：桂枝桂皮醛肉桂酸提取工艺高效液相色谱法