海藻酸钠-壳聚糖微胶囊膜强度的研究

以乳化/内部凝胶化法制备了海藻酸钠-壳聚糖微胶囊,重点考察了成膜反应过程中影响微胶囊膜强度的几个主要参数,实验发现,壳聚糖分子量低于100000,成膜反应时间高于15min,壳聚糖溶液pH值在6.0左右时制备的微胶囊膜强度较高.初步探讨了海藻酸钠与壳聚糖两种高分子发生聚电解质络合反应的机制.     

海藻酸钙-壳聚糖微胶囊组成对BSA通透性能影响的研究

对海藻酸钙-壳聚糖微胶囊的牛血清白蛋白(BSA)双向通透性能进行了定量和定性的初步研究, 并初步考察了微胶囊的组成成分及海藻酸钠、壳聚糖的溶液浓度对BSA通透性能的影响. 结果表明海藻酸钙-壳聚糖微胶囊在pH 1.5～2.0时通透性减弱, pH 6.8时通透性增强, 且海藻酸钙微胶囊通透性大于海藻酸钙-壳聚糖微胶囊; 海藻酸钙-壳聚糖微胶囊中壳聚糖浓度越小, 通透性越好; 海藻酸钠浓度的影响不显著.     

壳聚糖-碳纳米管/壳聚糖半互穿网络水凝胶的机械性能及pH敏感性

为制备具有较高机械性能的壳聚糖凝胶, 设计将壳聚糖-碳纳米管复合物引入壳聚糖凝胶网络. 以戊二醛为交联剂, 采用冷冻干燥的方法制备了一系列壳聚糖-碳纳米管/壳聚糖半互穿网络凝胶. 测试了凝胶的机械性能, 考察了凝胶在不同pH值缓冲溶液中的去溶胀和溶胀行为. 实验结果表明, 添加壳聚糖-碳纳米管复合物的凝胶与普通壳聚糖凝胶相比机械强度明显增加, 而凝胶本身的pH敏感性不受影响.     

海藻酸-壳聚糖-海藻酸离子取代凝胶改性研究

羧甲基壳聚糖;微胶囊;海藻酸-壳聚糖-海藻酸离子取代凝胶改性研究     

壳聚糖溶液pH对载细胞海藻酸钠-壳聚糖微胶囊性能的影响

以激光共聚焦扫描显微镜为研究手段, 原位直观地考察了在不同pH条件下聚电解质膜的络合程度和蛋白扩散情况. 通过分析pH值对微胶囊膜性能的影响规律, 并结合不同种类细胞对环境pH的敏感特性, 确定了制备细胞培养用海藻酸钠-壳聚糖微胶囊的最佳pH值. 结果表明, 当壳聚糖溶液的pH值由3.50增加到6.50, 微胶囊膜的络合深度呈现高-低-高的趋势, 而微胶囊膜的膨胀性能呈现低-高-低的趋势, 模型蛋白通过微囊膜的扩散呈现低-高-低的趋势, 拐点均出现在pH=4.00和5.50处. 结合动物细胞及微生物细胞对环境pH耐受能力的考察, 确定制备微囊化动物细胞时, 微胶囊成膜反应溶液的最佳pH值为5.50; 制备微囊化大肠杆菌时, 反应溶液的最佳pH值为5.00; 制备微囊化酵母菌时, 反应溶液的最佳pH值为4.50.     

小分子液滴为模板制备有机-无机杂化纳米微胶囊

通过细乳液聚合,在正辛烷液滴外包覆一层苯乙烯与甲基丙烯酸-3-三甲氧基硅丙酯(MPS)的共聚物,制备了有机-无机杂化纳米微胶囊.通过透射电镜和动态光散射粒径仪观测其形态,用红外光谱表征了其分子结构.讨论了聚合方法对微胶囊制备的影响;通过溶度参数的计算和实验验证,发现配方中单体体积分数需小于36%才能得到微胶囊;通过界面自由能模型的计算和动力学分析,说明了微胶囊形成的热力学原因;发现共聚物中MPS的加入有利于微胶囊的形成,但若MPS的含量过大将会导致胶囊塌陷;最后阐明了这种微胶囊制备过程的机理.     

海藻酸钠-壳聚糖-粉末活性炭生物微胶囊的传递性能研究

测定不同分子量的聚乙二醇(PEG)溶液透过海藻酸钠-壳聚糖-粉末活性炭(SA-CA-PAC)生物微胶囊的性能,确定了SA-CA-PAC膜的截留分子量在PEG4000以下。研究了葡萄糖、乳糖、氨基酸等小分子的物质在SA-CA-PAC微胶囊中的扩散性能,用数学模型计算出了这些物质在微胶囊的混合扩散系数Dm以及相应的微胶囊膜层中扩散系数D1,结果表明小分子量的物质具有较好的扩散性能,且Dl<相似文献   

庆大霉素对羟基磷灰石/壳聚糖复合材料性能的影响

羟基磷灰石/壳聚糖-庆大霉素(HA/CS-G)缓释材料为骨髓炎的定点缓释给药提供了一种有效的局部药物缓释体系。为了研究抗生素对羟基磷灰石/壳聚糖材料性能的影响,采用共沉淀法制备了HA/CS-G缓释材料。利用红外光谱(IR)、X射线衍射(XRD)和扫描电子显微镜(SEM)对材料进行了表征。以不载药的羟基磷灰石/壳聚糖(HA/CS)为对照,研究了庆大霉素对HA/CS复合材料抑菌性能、力学性能和降解性能等的影响。实验结果表明,HA/CS-G有良好的抑菌效果。负载庆大霉素后HA/CS的机械强度明显增强,而材料的降解速率有所下降。本文采用的二次成型技术显著增大了材料的机械强度。     

胶原-磺化羧甲基壳聚糖/硅橡胶皮肤再生材料的制备及其对小型猪烫伤创面全层皮肤缺损的修复研究

制备了一种胶原-磺化羧甲基壳聚糖/硅橡胶皮肤再生材料,并以小型猪为模型,考察了其对烫伤全层皮肤缺损的修复性能.首先合成了磺化羧甲基壳聚糖,并对其结构进行了表征.制备了胶原-磺化羧甲基壳聚糖多孔支架,采用扫描电子显微镜(SEM)研究了磺化羧甲基壳聚糖含量对支架微结构的影响.随着磺化羧甲基壳聚糖含量的增大,胶原-磺化羧甲基壳聚糖支架从纤维结构向片状结构转化,且支架的孔径相对变大.采用体外成纤维细胞培养实验证明胶原-磺化羧甲基壳聚糖支架无明显细胞毒性.进一步将胶原-磺化羧甲基壳聚糖支架与硅橡胶膜复合,构建具有双层结构的皮肤再生材料.以小型猪为模型,评价了其对深度烫伤创面的修复性能.大体观察和组织学分析结果显示,胶原-磺化羧甲基壳聚糖/硅橡胶皮肤再生材料具有更快的血管化性能,且经该材料处理的创面能有效支持薄自体皮片的移植成活,实现深度烫伤创面的全层修复.     

聚[2-(甲基丙烯酰氧)乙基三甲基氯化铵]/阿拉伯胶复凝聚法十二醇微胶囊的制备

将聚[2-(甲基丙烯酰氧)乙基三甲基氯化铵](PMTC)和阿拉伯胶(GA)在一定条件下进行了复凝聚,并对影响复凝聚实验的壁材配比、壁材浓度、离子强度等因素进行了考察.实验结果表明,PMTC与GA配比为1/3.22,壁材总浓度为4%时复凝聚效率最高;体系中不同浓度的氯化钠的存在会对复凝聚起到不同程度的抑制作用.在实验确定的最佳复凝聚条件下以有机小分子化合物十二醇作为芯材进行了包覆,制备了不同壁芯比例的微胶囊.对微胶囊的包覆率及载药量进行了测量,并对它们的释放行为进行了考察.包覆有十二醇的复合微胶囊大小一般在几微米.随着壁材与芯材比例的增大,胶囊载药量逐渐降低,微胶囊释放十二醇的速率明显变小,但包覆率却无明显变化规律.     

The application of experimental design to the robustness testing of a method for the determination of drug-related impurities by capillary electrophoresis

Summary Robustness testing of capillary electrophoresis methods is an important part of method validation. Appropriate use of experimental designs can be employed in this robustness testing. In this study experimental designs were used in the assessment of a capillary electrophoresis method used to determine drug related impurities. Initially a fractional factorial screening design was used to identify the critical parameters which were found to be pH and voltage. A central composite design was then performed to evaluate the response surfaces for pH and voltage which showed operation at the optimum pH and voltage values.     

Exploration of variables in the fabrication of pyrolysed photoresist

The increased use of pyrolysed photoresist films (PPF) as electrode material intensifies the need to know what fabrication variables are important in the pyrolysis process. The main factor effects of seven variables (three time/temperature heating levels plus the position in the furnace tube) in the fabrication of PPF were investigated by a Plackett and Burman, eight-run, experimental design. In the three-step pyrolysis programme, gas flow had a large effect on the surface cleanliness and roughness. It was also observed that the position in the furnace affected the resistivity of the PPF. Fabrication parameters that give rapid electron transfer to redox species in solution, that provide low surface oxide and that lead to low surface roughness were identified. The guidelines on what fabrication conditions to employ to give a variety of different electrode characteristics are presented.     

A systematic approach for optimisation of supercritical-fluid extraction of polycyclic aromatic hydrocarbons from earthworms

A systematic approach using a mathematical model as an alternative to time-consuming empirical optimisation of a supercritical-fluid extraction (SFE) procedure is presented. The model was applied to the extraction of 15 polycyclic aromatic hydrocarbons (PAH). The selected fat-containing matrix is the earthworm used in ecotoxicological absorption studies. Settings for optimal recovery were established for the important parameters (temperature, pressure, amount of trapping sorbent, flow, and dynamic extraction time) using a D-optimal experimental design (including quadratic terms and interactions). The recoveries were modelled using a two sigmoid-model with parameters for each of the individual PAH. The main objective was to optimise the conditions for 15 PAH congeners by maximisation of the lowest recovery. The results show that for some parameters, e.g. the amount of sorbent material, optimal conditions are identical for all PAH. For other parameters, e.g. extraction time, the optimum is PAH dependent. The advantage of this optimisation procedure is that, within three days of analysis (73 experiments), optimised extraction conditions for the extraction of the set of 15 PAH were found but also optimum conditions for specific subsets can be extracted from the collected data for specific subsets.     

Experimental Designs in the Optimization of a Microwave Acid Digestion Procedure for the Determination of Metals in Paper and Board Samples by Atomic Absorption Spectrometry

Abstract

A Plackett-Burman design was carried out in order to find the significant experimental parameters affecting Cd, Co, Cr, Cu, Mn, Pb, and Zn extraction by microwave energy in paper samples. Eight variables were studied and optimized by means of a factorial design. The design showed that HCl and HNO₃ concentrations were the significant parameters in the microwave extraction procedure. The trace elements were determined by FAAS and ETAAS under optimum conditions. The levels of metals present in commercial samples, representing different types of paper and board and manufacturers are lower than those provided by the legislation.     

Establishing the chromatographic fingerprint of traditional Chinese medicine standard decoction based on quality by design approach: A case study of Licorice

A novel analytical quality by design approach for developing a chromatographic fingerprint was established for analyzing complex traditional Chinese medicine, using a licorice standard decoction as an example. Considering the characteristics of integrity and ambiguity, the resolution of eight common peaks, total peak number, capacity factor distributions, and peak purity were selected as potential critical method attributes for assessing the quality of the chromatographic fingerprint. A central composite design was used to evaluate the relationship between critical method attributes and critical method parameters, including column temperature, wavelength, flow rate, formic‐acid concentration, and gradient parameters. A standard probability method was employed to calculate the design space of the fingerprint analysis parameters and evaluate the robustness of the methodology. The optimized high‐performance liquid chromatography fingerprint conditions were acetonitrile and 0.1% formic acid water gradient elution (0‐5 min, 5–19% A; 5–10 min, 19% A; 10–50 min, 19–42% A; 50–54 min, 42–100% A; 54–60 min, 100% A), column temperature 25±5°C, detection wavelength 265 nm. The design space of fingerprint analytical method based on the analytical quality by design approach not only met the requirements of the fingerprint analysis, but also improved the robustness and applicability of the fingerprint method.     

Optimization and Parameter Study for Chiral Separation by Capillary Electrophoresis

Orthogonal design and uniform design were used for the optimization of separation of enantiomers using 2,6-di-O-methyl-β-cyclodextrin (DM-β-CD) as a chiral selector by capillary zone electrophoresis. The concentration of DM-β-CD, buffer pH, running voltage, and capillary temperature were selected as variable parameters, their different effects on peak resolution were studied by the design methods. It was concluded that orthogonal design offers a rapid and efficient means for testing the importance of individual parameters and for determining the optimum operating conditions. However, for a large number of both factors and levels, uniform design is more efficient. The effect of addition of methanol and citric acid buffer on the separation of enantiomers was also examined.     

Extraction and quantification of antioxidants from low-density polyethylene by microwave energy and liquid chromatography

In this paper a experimental design is applied to optimize the quantification of hindered phenol Irganox 1076, phosphite antioxidant Irgafos 168 and their oxidized product tri[2,4-di-tert-butylphenyl]phosphate from low-density polyethylene (LDPE). The developed analytical method consists of two steps: microwave-assisted extraction and reversed-phase liquid chromatography (LC) coupled with ultraviolet diode-array detector. A Plackett-Burman design was carried out in order to find the significant experimental parameters affecting the antioxidants extraction by microwave energy. These parameters were subsequently optimized by a central composite design. The performed method allows extracting the studied antioxidants at low temperature in a short time without degradation of phosphite antioxidant Irgafos 168.     

Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design

In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.     

Evaluation and optimization of the metal‐binding properties of a complex ligand for immobilized metal affinity chromatography

The simultaneous determination of two binding parameters for metal ions on an immobilized metal affinity chromatography column was performed by frontal chromatography. In this study, the binding parameters of Cu²⁺ to l ‐glutamic acid were measured, the metal ion‐binding characteristics of the complex ligand were evaluated. The linear correlation coefficients were all greater than 99%, and the relative standard deviations of two binding parameters were 0.58 and 0.059%, respectively. The experiments proved that the frontal chromatography method was accurate, reproducible, and could be used to determine the metal‐binding parameters of the affinity column. The effects of buffer pH, type, and concentration on binding parameters were explored by uniform design experiment. Regression, matching and residual analyses of the models were performed. Meanwhile, the optimum‐binding conditions of Cu²⁺ on the l ‐glutamic acid‐silica column were obtained. Under these binding conditions, observations and regression values of two parameters were similar, and the observation values were the best. The results demonstrated that high intensity metal affinity column could be effectively prepared by measuring and evaluating binding parameters using frontal chromatography combined with a uniform design experiment. The present work provided a new mode for evaluating and preparing immobilized metal affinity column with good metal‐binding behaviors.     

A kernel‐based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models

When several models are proposed for one and the same process, experimental design techniques are available to design optimal discriminatory experiments. However, because the experimental design techniques are model‐based, it is important that the required model predictions are not too uncertain. This uncertainty is determined by the quality of the already available data, since low‐quality data will result in poorly estimated parameters, which on their turn result in uncertain model predictions. Therefore, model discrimination may become more efficient and effective if this uncertainty is reduced first. This can be achieved by performing dedicated experiments, designed to increase the accuracy of the parameter estimates. However, performing such an additional experiment for each rival model may undermine the overall goal of optimal experimental design, which is to minimize the experimental effort. In this article, a kernel‐based method is presented to determine optimal sampling times to simultaneously estimate the parameters of rival models in a single experiment. The method is applied in a case study where nine rival models are defined to describe the kinetics of an enzymatic reaction (glucokinase). The results clearly show that the presented method performs well, and that a compromise experiment is found which is sufficiently informative to improve the overall accuracy of the parameters of all rival models, thus allowing subsequent design of an optimal discriminatory experiment. © 2009 Wiley Periodicals, Inc. J Comput Chem, 2009