广西姜黄挥发油两种提取方法的比较研究

以广西姜黄那坡县种植的姜黄为原料,以水蒸汽蒸馏法和以石油醚为溶剂的索氏提取法,分别提取挥发油,并用GC-MS分析法对这些以不同加工途径获取的姜黄挥发油进行成分分析,比较了不同的加工办法对挥发油的加工得率、主要成分和含量的影响。研究表明:广西那坡的姜黄挥发油主要成分为:α-姜黄烯、芳姜黄酮、(-)-姜烯、β-倍半水芹烯、β-姜黄酮、α-姜黄酮、4-(1,5-二甲基-4-己烯基)-2-环己烯酮、β-没药烯。     

索氏法提取姜黄挥发油及其成分的研究

本文以广西那坡县种植的姜黄为原料,分别以沸点为30-60℃,60-90℃的石油醚以及石油醚与乙醚的混合物作为溶剂,采用索氏提取法提取挥发油,并采用GC-MS分析法研究了这几种姜黄挥发油的主要成分,比较了不同的加工办法对挥发油的加工得率、主要成分、含量的影响。研究表明：用索氏提取法提取的广西姜黄挥发油其得率在7％以上,主要成分为：α-姜黄烯、（-）-姜烯、β-倍半水芹烯、芳姜黄酮、β-姜黄酮、α-姜黄酮、β-没药烯。     

姜黄属植物组培快繁技术的研究进展

姜科姜黄属植物是市场上重要的鲜切花和园林绿化品种，且多数物种具有很高的药用价值。但姜黄属目前主流的块茎分株繁殖法面临着诸如繁殖质量可控性差、速度慢等一系列问题，因而限制了其市场的规模发展。姜黄属植物的组织培养快繁技术能为其提供高效的繁殖途径，批量生产出优质可控的种苗，为满足市场需求提供重要的技术支撑。本研究总结出姜黄属组织培养过程中各阶段的技术现状，通过不同培养方法探讨了目前姜黄属植物组培技术存在的问题和未来的方向，希望为姜黄属植物组培快繁提供技术参考。     

一种高效提取真菌总DNA的方法

<正>在真菌的分子生物学研究中,快速高效地提取质量优良的DNA有着重要意义。目前使用的真菌DNA提取方法步骤大体相似,主要差别在于采用何种方法来打破细胞壁这一关键环节。常用的破壁方法主要有冷冻干燥研磨法、玻璃珠机械破壁法、酶解法和氯化苄法等(吴志红2001)。通常冷冻干燥研磨法多用液氮来处理,一般是直接在液氮中研磨     

真菌胞内多糖提取方法的研究进展

归纳了几种常用真菌胞内多糖的提取方法,主要介绍了热水浸提法、酸提法、碱提法、酶提法、超声波辅助法、微波辅助法6种方法提取真菌多糖的原理和近年来的研究进展,总结了各种方法的优缺点,为今后进一步研究真菌胞内多糖的提取工艺提供借鉴。     

广西几个姜黄品种姜黄油GC-MS分析

通过对广西地区栽培的三个姜黄品种:博白姜黄、大新姜黄、市场姜黄的姜黄油GC-MS分析,比较不同姜黄品种姜黄油成分的差异性,为筛选特定姜黄品种提供依据。不同姜黄品种其主要成分含量差异显著,主成份姜黄酮(含芳香-姜黄酮)含量依次为博白姜黄56.07%、大新姜黄47.79%、市场姜黄28.38%,市场姜黄的姜黄酮含量只有博白姜黄的一半。因此从姜黄油主要成份(含量>20%)姜黄酮含量来考察,以种植博白姜黄为最好。     

绞股蓝总皂甙提取方法的比较研究

目的：探讨绞股蓝总皂甙最佳的提取方法。方法：首先选用水、80％甲醇、75％乙醇和氯仿等作为溶剂提取绞股蓝总皂甙,从中选择出2种较优试剂,再以回流提取法、索氏提取法、超声波法等提取方法对绞股蓝的总皂甙进行提取,从而选出一种优良的提取方法。并且采用分光光度法测定了绞股蓝总皂甙的含量。结果：研究表明,75％乙醇为绞股蓝总皂甙提取的最佳溶剂,乙醇回流提取法为最优方法。结论：以75％乙醇为提取溶剂的回流提取法是一种高效、简便、节能的绞股蓝总皂甙的提取方法。     

桑寄生挥发性成分研究

目的：研究桑寄生（Herba Taxilli）中的挥发性成分。方法：利用水蒸气蒸馏法提取桑寄生挥发油,用GC/MS进行测定,结合计算机检索技术对分离的化合物进行结构鉴定,应用色谱峰面积归一化法计算各成分的相对百分含量。结果：分离出132个组分,鉴定出66个化学成分。检出率为78.91%。桑寄生挥发性成分大于2%的为苯甲醛13.97%,苯乙烯11.42%,芳姜黄烯7.89%,桉树脑3.89%,α-姜烯3.59%,γ-姜黄烯2.78%,壬醛2.07%。     

葛根中葛根素和大豆苷提取方法的比较研究

目的:比较不同方法提取葛根中葛根素和大豆苷的效果。方法:分别用乙醇回流提取法、微波辅助提取法、超声波提取法及热水浸提法提取葛根中葛根素和大豆苷,用高效液相色谱法测定含量,计算提取量,并对最佳方法进行优化。结果:乙醇回流提取法、微波和超声法提取量较高,热水浸提法最低。超声提取法的最佳工艺为:以70%乙醇为溶剂,1:10料液比,提取时间45min。结论:该提取方法操作简便,提取效率高,提取时间短,节约溶剂,为工业化生产提供理论依据。     

降脂通络软胶囊高技术产业化示范工程

一项目概况和重要意义 降脂通络软胶囊为原国家二类新药．通过超临界流体萃取方法从中药姜黄中提取姜黄素类物质精制成软胶囊．总姜黄素含量超过50％．可有效降低血清胆固醇．甘油三酯和低密度脂蛋白等血脂指标、还可升高高密度脂蛋白指标．同时清除脂肪肝．技术水平达到国内领先。     

莪术基原植物DNA条形码序列的筛选与鉴定

为寻找适用于中药材莪术基原植物鉴定的DNA条形码序列,探索快速高效的莪术基原植物鉴定的新方法,该文首先利用扩增成功率和测序成功率对中药材莪术三种基原植物,9个样本的7种DNA条形码序列(ITS、ITS2、matK、psbA-trnH、trnL-trnF、rpoB和atpB-rbcL)进行评估,然后利用MEGA6.0软件对获得的高质量的序列通过变异位点分析、遗传距离计算和系统树分析等进一步进行评估,最后将筛选到的DNA条形码序列对未知基原的待测样品进行基原鉴定。结果表明:(1) ITS、ITS2和matK等条形码序列在莪术基原植物中的扩增或测序成功率较低,难以应用于实际鉴定;而psbA-trnH、trnL-trnF和rpoB条形码序列变异位点信息过少,不足于区分莪术的三种不同基原植物;只有atpB-rbcL条形码序列的扩增和测序成功率较高,容易获得高质量的序列,同时序列长度(642～645 bp)理想,变异位点多(11个),可实现莪术的三种不同基原的区分鉴别。(2)待测样品经基于atpB-rbcL序列构建的系统发育树鉴别为温郁金。综上所述,叶绿体atpB-rbcL序列能够准确鉴定莪术不同基原植物,可以作为中药材莪术基原植物鉴定的条形码序列。     

Comparative Investigation for Raw and Processed Products of Euodiae Fructus Based on High-Performance Liquid Chromatography Fingerprints and Chemical Pattern Recognition

As a traditional Chinese medicine, Euodiae Fructus is widely used due to its analgesic, anti-inflammatory, and antihypertensive effects. However, Euodiae Fructus has also been documented to be toxic, and the toxic effects can be reduced by processing. To distinguish Euodiae Fructus from its processes products and study the changes of raw and processed products before and after processing, we evaluated four auxiliary material processing methods including vinegar, Zingiberis Rhizoma, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma. The raw Euodiae Fructus and four processed Euodiae Fructus samples were analyzed and compared based on the high-performance liquid chromatography (HPLC) fingerprints combined with chemometrics, including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and principal component analysis-class (PCA-Class). A total of 27 common peaks were obtained by fingerprint analysis. The fingerprint similarity of raw and processed samples was between 0.86–0.999. We also determined the contents of the main active ingredients - Evodiamine and Rutaecarpine. PCA and PLS-DA analyses were used to distinguish between the raw and processed samples of Euodiae Fructus, and 14 chemical markers were screened out. Four kinds of processed products were further analyzed and the results showed that they could be successfully distinguished under the established models, and 12 chemical markers were labeled. PCA-Class results revealed that the classification models constructed in this study had adequate discrimination ability. The method combined with HPLC fingerprinting and multi-component chemical pattern recognition technology could be used to differentiate raw and processed Euodiae Fructus with adequate predictive power. Our findings confirmed the rationality of the pharmacopoeial method and provided a reference for the quality control of the Glycyrrhizae Radix et Rhizoma processed Euodiae Fructus.     

Constrained and restrained refinement in EXAFS data analysis with curved wave theory.

This paper describes methods of constrained and restrained refinement of EXAFS data which provide a means of substantially reducing the number of independent parameters compared to conventional least-squares methods commonly used. Constrained refinement allows a major reduction in the number of free parameters for a refinement of a structural model. In restrained refinement, additional structural information from well-characterized small molecules is used to provide additional observations in the data analysis. Even though these methods are of general application to the majority of complex systems, they are particularly valuable for biological molecules. The methods are of major advantage for ligands where significant multiple scattering is present, e.g., histidine, tyrosine, CO, CN, etc. The bases of these methods are described, and applications to some complex chemical and biological systems are given.     

Traditional Chinese medicinal herbs as potential AChE inhibitors for anti-Alzheimer’s disease: A review

Alzheimer’s disease (AD) is a progressive neurodegenerative disease affecting 25 million people worldwide, and cholinergic hypothesis is considered as an important hypotheses in the processes of improving cognitive function and recognition skills in recent years. For the long-term treatment of AD, traditional Chinese medicine are particularly suitable for drug discovery. In this review, we sum up six traditional Chinese medicinal herbs concerned with development of AChEIs, including Herba Epimedii, Coptis Chinensis Franch, Rhizoma Curcumae Longae, Green tea, Ganoderma, Panax Ginseng. The listed compounds based on these herbs are belonging to six classes Flavonoids, Alkaloids, Ketones, Polyphenols, Terpenoid and Saponins, respectively. These compounds could be very promising agents in the search for potent anti-Alzheimer’s drugs.     

Sampling of near-native protein conformations during protein structure refinement using a coarse-grained model, normal modes, and molecular dynamics simulations

Protein structure refinement from comparative models with the goal of predicting structures at near-experimental accuracy remains an unsolved problem. Structure refinement might be achieved with an iterative protocol where the most native-like structure from a set of decoys generated from an initial model in one cycle is used as the starting structure for the next cycle. Conformational sampling based on the coarse-grained SICHO model, atomic level of detail molecular dynamics simulations, and normal-mode analysis is compared in the context of such a protocol. All of the sampling methods can achieve significant refinement close to experimental structures, although the distribution of structures and the ability to reach native-like structures differs greatly. Implications for the practical application of such sampling methods and the requirements for scoring functions in an iterative refinement protocol are analyzed in the context of theoretical predictions for the distribution of protein-like conformations with a random sampling protocol.     

山药新药源的调查和质量研究

市场上作商品淮山药流通而药典未收载的山药（原植物为山薯（Dioscorea fordii prain et Burk.),褐苞薯蓣（D.persimillis Prain et Burk.),参薯（D.alata L.)),药用历史悠久,药源丰富,已形成了较大的产区,在质量方面,与药典收载的怀山药（原植物为薯蓣（D.opposita Thunb.))比较,其有效成分和主要成分如多糖,尿囊素和氨基酸等含量都极为相似,但在多糖的单糖组成上,占优势的单糖种类不同,在药理试验中,四种山药（包括怀山药）效果都基本相同,具有增强机体能力,助消化和增强免疫功能的效果,因此,我们认为,原植物为山薯,参薯及褐苞薯蓣的淮山药作为新药源开发是可行的。     

The impact of curcumin and its modified formulations on Alzheimer's disease

Alzheimer's disease (AD) is a major health problem worldwide, with no effective treatment approach. Curcumin is the main ingredient of turmeric traditionally used in Asian medicine. Several experimental studies have indicated the protective effect of curcumin and its novel formulations in AD. Curcumin has antioxidant, anti-inflammatory and neurotrophic activities, proposing a strong potential to prevent neurodegenerative diseases. However, there are no sufficient clinical trials to confirm curcumin use in AD patients. Low bioavailability following oral administration of curcumin limits its usage in human. The present study was designed to gather the effects of curcumin and its modified formulations in human and experimental models of AD.     

Curcumol suppresses RANKL-induced osteoclast formation by attenuating the JNK signaling pathway

Osteoclasts, derived from hemopoietic progenitors of the monocyte/macrophage lineage, have a unique role in bone resorption, and are considered a potential therapeutic target in the treatment of such pathologic bone diseases as osteoporosis, rheumatoid arthritis, and periodontitis. In the present study, we demonstrate that curcumol, one of the major components of the essential oil of Rhizoma Curcumae, exhibits an inhibitory effect on receptor activator of nuclear factor kappaB ligand (RANKL)-induced osteoclast differentiation with both bone marrow-derived macrophages and RAW264.7 cells in a dose-dependent manner. In addition, RANKL-induced mRNA expression of osteoclast-specific genes, such as tartrate-resistant acid phosphatase, calcitonin receptor, and cathepsin K, is prominently reduced in the presence of curcumol. Furthermore, the molecular mechanism of action was investigated, and curcumol inhibited osteoclastogenesis by specifically impairing RANKL-induced c-Jun N-terminal kinase (JNK)/activator protein-1 (AP-1) signaling, which was further identified in rescue studies by means of anisomycin, a JNK signaling-specific activator. Taken together, these findings suggest that curcumol suppresses RANKL-induced osteoclast differentiation through the JNK/AP-1 signaling pathway, and may be useful as a therapeutic treatment for bone resorption-associated diseases.     

Molecular dynamics simulations of membrane proteins

Membrane proteins control the traffic across cell membranes and thereby play an essential role in cell function from transport of various solutes to immune response via molecular recognition. Because it is very difficult to determine the structures of membrane proteins experimentally, computational methods have been increasingly used to study their structure and function. Here we focus on two classes of membrane proteins—ion channels and transporters—which are responsible for the generation of action potentials in nerves, muscles, and other excitable cells. We describe how computational methods have been used to construct models for these proteins and to study the transport mechanism. The main computational tool is the molecular dynamics (MD) simulation, which can be used for everything from refinement of protein structures to free energy calculations of transport processes. We illustrate with specific examples from gramicidin and potassium channels and aspartate transporters how the function of these membrane proteins can be investigated using MD simulations.     

Benchmarking of structure refinement methods for protein complex models

Protein structure docking is the process in which the quaternary structure of a protein complex is predicted from individual tertiary structures of the protein subunits. Protein docking is typically performed in two main steps. The subunits are first docked while keeping them rigid to form the complex, which is then followed by structure refinement. Structure refinement is crucial for a practical use of computational protein docking models, as it is aimed for correcting conformations of interacting residues and atoms at the interface. Here, we benchmarked the performance of eight existing protein structure refinement methods in refinement of protein complex models. We show that the fraction of native contacts between subunits is by far the most straightforward metric to improve. However, backbone dependent metrics, based on the Root Mean Square Deviation proved more difficult to improve via refinement.