气相色谱-串联质谱法快速筛查测定中药材中144种农药残留

利用气相色谱-串联质谱(GC-MS/MS)检测技术,采用QuEChERS法作为样品前处理方法,建立了能应用于11种中药材中144种农药残留的检测方法。探究了样品前处理过程中提取溶剂、缓冲盐体系、净化剂组成和用量对样品提取、净化等方面的影响,最终确定了用乙腈提取,甲苯复溶,以混合净化剂净化,过有机膜后经GC-MS/MS测定,外标法定量。144种农药在10~2000 μg/kg之间线性关系良好,相关系数(r²)>0.983;除乙酰甲胺磷、灭虫威、西玛津、克菌丹、异狄氏剂、异菌脲外,其余农药的定量限(LOQ)均低于20 μg/kg;在20、50、200 μg/kg的添加水平下,除乙酰甲胺磷、艾氏剂和双甲脒回收率偏低外,其余141种农药的平均回收率在74.3%~111.8%之间,相对标准偏差(RSD)为0.5%~14.6%。与已有的标准方法对比,此方法不仅检测结果一致,而且高效、快速,准确性好,灵敏度高,适用于中药材中144种农药残留的快速筛查与定量分析。     

基于虚拟筛选从中药中发现抗铜绿假单胞菌的活性成分

针对铜绿假单胞菌的耐药性问题,采用虚拟筛选技术快速筛选出具有抗铜绿假单胞菌活性的中药成分.采用AutoDock Vina程序对铜绿假单胞菌LasR信号受体蛋白的2UV0、3IX3和6MVM三个共晶结构进行方法学研究,然后利用Lipinsky规则对陶术中药数据库进行初步筛选,通过分子对接进行再次筛选,并对满足Lip-in...     

Virtual screening methods that complement HTS

In this review, we discuss a number of computational methods that have been developed or adapted for molecule classification and virtual screening (VS) of compound databases. In particular, we focus on approaches that are complementary to high-throughput screening (HTS). The discussion is limited to VS methods that operate at the small molecular level, which is often called ligand-based VS (LBVS), and does not take into account docking algorithms or other structure-based screening tools. We describe areas that greatly benefit from combining virtual and biological screening and discuss computational methods that are most suitable to contribute to the integration of screening technologies. Relevant approaches range from established methods such as clustering or similarity searching to techniques that have only recently been introduced for LBVS applications such as statistical methods or support vector machines. Finally, we discuss a number of representative applications at the interface between VS and HTS.     

反相高效液相色谱法测定中药中薯蓣皂苷元

用反相高效液相色谱法分离并测定了穿山龙、粉草解、胡芦巴、七叶一枝花、山药等5种中草药中的薯蓣皂苷元，建立了中药中薯蓣苷元的液相色谱分离测定方法，色谱条件：ODS柱，甲醇－水（95＋5）为流动相，紫外检测波长209nm.     

Identification of gamma-irradiated Chinese herbs by thermoluminescence analysis

The feasibility of thermoluminescence (TL) to differentiate irradiated Chinese medicinal herbs from non-irradiated was investigated. Thirty different dried Chinese herbs were tested, including root, flower, ramulus, rhizome, cortex, and whole plant samples. Irradiation of Chinese herbs was associated with strong TL peaks at ~150–250 °C, while TL curves of non-irradiated herbs had very low intensities above 250 °C, which was also confirmed by the TL ratio (non-irradiated, TL₁/TL₂ < 0.1). The ability to determine the irradiation dose by the TL method was influenced by the amount and types of minerals in the samples. All levels of irradiation doses could be detected when between 0.1 and 1.0 kGy, except for three herbs at 0.1 kGy dose. Different blends with small quantities (0.1–10 %) of irradiated herbs were also tested in this study. Samples with powder mixtures containing 1 % irradiated components could be differentiated (TL₁/TL₂ > 0.1) except for sterculia lychnophora, semen cassia, flos inulae, and anemone root. TL ratios of some herbs indicated irradiation (TL₁/TL₂ > 0.1) even if the irradiated components were as low as 0.1 %. Thus we demonstrated that TL analysis had excellent sensitivity and reliability for the identification of irradiated Chinese herbs.     

Virtual fragment screening: exploration of MM-PBSA re-scoring

An NMR fragment screening dataset with known binders and decoys was used to evaluate the ability of docking and re-scoring methods to identify fragment binders. Re-scoring docked poses using the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) implicit solvent model identifies additional active fragments relative to either docking or random fragment screening alone. Early enrichment, which is clearly most important in practice for selecting relatively small sets of compounds for experimental testing, is improved by MM-PBSA re-scoring. In addition, the value in MM-PBSA re-scoring of docked poses for virtual screening may be in lessening the effect of the variation in the protein complex structure used.     

Spectroscopic characterization of effective components anthraquinones in Chinese medicinal herbs binding with serum albumins

The interactions of serum albumins such as human serum albumin (HSA) and bovine serum albumin (BSA) with emodin, rhein, aloe-emodin and aloin were assessed employing fluorescence quenching and absorption spectroscopic techniques. The results obtained revealed that there are relatively strong binding affinity for the four anthraquinones with HSA and BSA and the binding constants for the interactions of anthraquinones with HSA or BSA at 20 degrees C were obtained. Anthraquinone-albumin interactions were studied at different temperatures and in the presence of some metal ions. And the competition binding of anthraquinones with serum albumins was also discussed. The Stern-Volmer curves suggested that the quenching occurring in the reactions was the static quenching process. The binding distances and transfer efficiencies for each binding reactions were calculated according to the F?ster theory of non-radiation energy transfer. Using thermodynamic equations, the main action forces of these reactions were also obtained. The reasons of the different binding affinities for different anthraquinone-albumin reactions were probed from the point of view of molecular structures.     

Rapid screening method for intact glucosinolates in Chinese medicinal herbs by using liquid chromatography coupled with electrospray ionization ion trap mass spectrometry in negative ion mode

An optimized method using liquid chromatography coupled with electrospray ionization ion trap mass spectrometry (LC/ESI-ITMS) in negative ion mode has been developed for screening different structural classes of intact glucosinolates in six Chinese medicinal herbs. The glucosinolates were extracted with hot methanol/water (70:30 v/v) and separation of the individual glucosinolates was achieved using a reversed-phase C18 column with an aqueous ammonium acetate/methanol gradient. Identification of the intact glucosinolates was based on the detection of compounds with a constant neutral loss of 242 Da corresponding to the combined loss of anhydroglucose (162 Da) and sulfur trioxide (80 Da) in collision-induced dissociation. The structures of the identified glucosinolates were confirmed with the use of group-specific product ions at m/z 195, 241, 259, 275 in their corresponding MS/MS product ion spectra. Differentiation of intact glucosinolates was achieved through their respective retention times and molecular masses as well as the characteristic product ions. The limits of detection were at the low nanogram level per injection, based on constant neutral loss scans. Significant variation in the compositions of intact glucosinolates was identified in the cruciferous herbs. This method was applied in the differentiation and quality control of two pairs of easily confused herbs. Copyright (c) 2008 John Wiley & Sons, Ltd.     

Virtual target screening: validation using kinase inhibitors

Computational methods involving virtual screening could potentially be employed to discover new biomolecular targets for an individual molecule of interest (MOI). However, existing scoring functions may not accurately differentiate proteins to which the MOI binds from a larger set of macromolecules in a protein structural database. An MOI will most likely have varying degrees of predicted binding affinities to many protein targets. However, correctly interpreting a docking score as a hit for the MOI docked to any individual protein can be problematic. In our method, which we term "Virtual Target Screening (VTS)", a set of small drug-like molecules are docked against each structure in the protein library to produce benchmark statistics. This calibration provides a reference for each protein so that hits can be identified for an MOI. VTS can then be used as tool for: drug repositioning (repurposing), specificity and toxicity testing, identifying potential metabolites, probing protein structures for allosteric sites, and testing focused libraries (collection of MOIs with similar chemotypes) for selectivity. To validate our VTS method, twenty kinase inhibitors were docked to a collection of calibrated protein structures. Here, we report our results where VTS predicted protein kinases as hits in preference to other proteins in our database. Concurrently, a graphical interface for VTS was developed.     

Determination of two intact glucosinolates in vegetables and Chinese herbs

A reversed-phase HPLC method was developed for analyzing sinigrin and gluconasturtiin in six vegetable and two Chinese herb samples. A gradient program and mobile phases using methanol and 0.05% trifluoroacetic acid containing 20 mM ammonium acetate allowed sufficient retention and separation of the glucosinolates in the sample extracts. Quadrupole time-of-flight tandem mass spectrometry in negative ion electrospray ionization was used to analyze the fractions collected from the HPLC elution to confirm the identification of the glucosinolates. The levels of sinigrin and gluconasturtiin in the vegetables and Chinese herbs were determined by using an external calibration method. Concentrations of gluconasturtiin in the Chinese herbs were more than 15 times higher than those of sinigrin. Detection limits were 18 nmol g^–1 for sinigrin and 4 nmol g^–1 for gluconasturtiin when 50 g of fresh vegetable was analyzed.     

Virtual high throughput screening in new lead identification

Drug discovery continues to be one of the greatest contemporary challenges and rational application of modelling approaches is the first important step to obtain lead compounds, which can be optimised further. Virtual high throughput screening (VHTS) is one of the efficient approaches to obtain lead structures for a given target. Strategic application of different screening filters like pharmacophore mapping, shape-based, ligand-based, molecular similarity etc., in combination with other drug design protocols provide invaluable insights in lead identification and optimization. Screening of large databases using these computational methods provides potential lead compounds, thus triggering a meaningful interplay between computations and experiments. In this review, we present a critical account on the relevance of molecular modelling approaches in general, lead optimization and virtual screening methods in particular for new lead identification. The importance of developing reliable scoring functions for non-bonded interactions has been highlighted, as it is an extremely important measure for the reliability of scoring function. The lead optimization and new lead design has also been illustrated with examples. The importance of employing a combination of general and target specific screening protocols has also been highlighted.     

Determination of carbamate insecticides in Chinese medicinal herbs by gas chromatography with a nitrogen-phosphorus detector

A simplified method for determining carbamate insecticides (including metolcarb, isoprocarb, fenobucarb, carbofuran, pirimicarb, and carbaryl) in Chinese medicinal herbs (White Peony Alba, Red Peony Root, and Baical Skullcap Root) is described. Standards were fortified into Chinese medicinal herbs at 3 levels (0.05-0.5 mg/kg). The carbamates were extracted with dichloromethane in a Soxhlet apparatus and analyzed by gas chromatography with a nitrogen-phosphorus detector. The results showed average recoveries between 80.77 and 104.56%. The method evidenced good robustness, accuracy, and precision for monitoring carbamates in Chinese medicinal herb samples, and it is a suitable alternative to replace the currently dedicated analytical systems. The minimum detectable amount ranged from 3.0 x 10(-10) to 5.0 x 10(-10)g, and the limit of quantification was 0.05 mg/kg. The method is rapid, simple, sensitive, and reproducible, and it can be conveniently used as a low-cost, rapid method for measuring the carbamate insecticide contamination of Chinese medicinal herbs.     

免疫亲和柱净化-液相色谱-串联质谱法测定中药材中的14种真菌毒素

依次采用磷酸盐缓冲液(PBS)和甲醇-PBS溶液提取样品,以多功能免疫亲和柱净化,采用液相色谱-串联四极杆质谱检测,可同时测定中药材中的黄曲霉毒素B1、黄曲霉毒素B2、黄曲霉毒素G1、黄曲霉毒素G2、伏马毒素B1、伏马毒素B2、T-2毒素、HT-2毒素、赭曲霉毒素A(OTA)、玉米赤霉烯酮等14种真菌毒素。优化条件下,真菌毒素的定量限(LOQ)为1～5 μg/kg, 4种中药材基质(人参、桔梗、板蓝根、麦门冬)中3个不同添加水平的平均回收率(n=6)为71.9%～99.7%,相对标准偏差(RSD)为4.8%～15.8%。该方法的检测速度快,中药材复杂基质的干扰较少,结果准确、可靠,定量限可满足国内外中药材真菌毒素相关限量的要求。     

Determination of the compositions of polysaccharides from Chinese herbs by capillary zone electrophoresis with amperometric detection

In this paper, capillary zone electrophoresis with amperometric detection (CZE-AD) was applied to determine the compositions of hetero-polysaccharides from Chinese herbs, Angelica sinensis and flax by analyzing their hydrolyzed monosaccharides: fucose, galactose, glucose, arabinose, rhamnose and xylose. Under the selected optimum conditions, the six monosaccharides could be perfectly separated within 25 min and showed significant current responses at copper electrodes. The linear ranges of the six monosaccharides were all from 5.0 x 10(-6) to 2.0 x 10(-4) mol L(-1) and their detection limits were lower or near 1.0 x 10(-6) mol L(-1) (S/N = 3). Experiments showed that the Angelica sinensis polysaccharide was composed of fucose, galactose, glucose, arabinose, rhamnose and xylose (mole ratio 1.0:13.6:15.0:8.7:21.3:3.7), and the flax polysaccharide was composed of galactose, glucose and arabinose (mole ratio 1.0:4.98:1.1). The purity of these polysaccharides leached by the introduced leaching method was 98.3 and 97.6%, respectively. Analyzing polysaccharides by this method has some merits of speed, simple instrumentation and operation, high sensitivity and high reproducibility.     

Virtual screening using protein-ligand docking: avoiding artificial enrichment

This study addresses a number of topical issues around the use of protein-ligand docking in virtual screening. We show that, for the validation of such methods, it is key to use focused libraries (containing compounds with one-dimensional properties, similar to the actives), rather than "random" or "drug-like" libraries to test the actives against. We also show that, to obtain good enrichments, the docking program needs to produce reliable binding modes. We demonstrate how pharmacophores can be used to guide the dockings and improve enrichments, and we compare the performance of three consensus-ranking protocols against ranking based on individual scoring functions. Finally, we show that protein-ligand docking can be an effective aid in the screening for weak, fragment-like binders, which has rapidly become a popular strategy for hit identification. All results presented are based on carefully constructed virtual screening experiments against four targets, using the protein-ligand docking program GOLD.     

Virtual screening for compounds that mimic protein-protein interface epitopes

Modulation of protein-protein interactions (PPI) has emerged as a new concept in rational drug design. Here, we present a computational protocol for identifying potential PPI inhibitors. Relevant regions of interfaces (epitopes) are predicted for three-dimensional protein models and serve as queries for virtual compound screening. We present a computational screening protocol that incorporates two different pharmacophore models. One model is based on the mathematical concept of autocorrelation vectors and the other utilizes fuzzy labeled graphs. In a proof-of-concept study, we were able to identify serine protease inhibitors using a predicted trypsin epitope as query. Our virtual screening framework may be suited for rapid identification of PPI inhibitors and suggesting bioactive tool compounds.