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首页> 外文期刊>Advanced Science, Engineering and Medicine >Thiol Ligand Adsorption on Gold Nanoparticle Surfaces: Mathematical Models to Predict Optimal Concentration of Heterobifunctional Polyethylene Glycol for Horseradish Peroxidase Immobilization
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Thiol Ligand Adsorption on Gold Nanoparticle Surfaces: Mathematical Models to Predict Optimal Concentration of Heterobifunctional Polyethylene Glycol for Horseradish Peroxidase Immobilization

机译:硫醇配体在金纳米粒子表面上吸附:用于预测辣根过氧化物酶固定的异双官能聚乙二醇的最佳浓度

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摘要

Gold nanoparticles (GNPs) are often used in numerous applications, including diagnostics, drug delivery and treatment of diseases, given its physical features and excellent biocompatibility, where factors such as dispersion and stability are directly related to the its performance andefficiency. Mathematical models for experimental design can be very useful and contribute to predict optimal functionalization strategies. Therefore, the purpose of this work was to stabilize and functionalize GNPs of 40 nm and 80 nm and determine optimal concentrations of heterobifunctionalpolyethylene glycols (HS-PEG-NH2 3500 and 7500 g/mol). Mathematical models relating particle diameter, initial concentration and quantification of the polymers adsorbed for both varieties of thiol PEG was predicted. GNP were modified and subjected to the four different strategies employedin this study (strategy I and III with HS-PEG-NH2 3500; II and IV with HS-PEG-NH2 7500). Solutions with concentrations ranging from 30 to 200 ng/ml of enzyme horseradish peroxidase (HRP) were used as an alternative to gauge the efficiency of the evaluated strategies. A superior yield and efficacyof strategies I and II was observed, since the former had a capture capacity of up to 5 times when stabilized for 2 h and up to 6 times for 12 h. Regarding stability, the most promising strategy observed was number II for nanoparticles of 40 nm. Moreover, the mathematical models highlightedin this study were efficient in predicting behavior of colloidal solutions with sizes of 40 nm and 80 nm when in contact with different varieties of thiol PEG and may exempt new kinetic tests.
机译:金纳米颗粒(GNP)通常用于许多应用,包括诊断,药物递送和疾病治疗,鉴于其物理特征和优异的生物相容性,其中诸如分散和稳定性等因素与其性能和效率直接相关。实验设计的数学模型可能非常有用,有助于预测最佳官能化策略。因此,该作品的目的是稳定和官能化40nm和80nm的GNP,并确定异双碳聚乙二醇的最佳浓度(HS-PEG-NH2 3500和7500g / mol)。预测了对吸附硫醇PEG的各种品种吸附的聚合物的粒径,初始浓度和定量的数学模型。修改了GNP并进行了本研究的四种不同策略(用HS-PEG-NH2 3500; II和IV的策略I和III,用HS-PEG-NH2 7500)。用30至200ng / ml酶过氧化物酶(HRP)的浓度范围为替代方案,以衡量评估策略的效率。观察到策略I和II的优越的产量和效率,因为前者在稳定2小时时捕获最多5次,12小时可达6次。关于稳定性,观察到最有前景的策略是40nm的纳米颗粒的第二次。此外,当与不同品种的硫醇PEG接触时,该研究突出了该研究的数学模型在预测具有40nm和80nm的胶体溶液的行为,并且可以免除新的动力学测试。

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