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1.
Carbohydr Polym ; 102: 297-305, 2014 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-24507285

RESUMEN

The inclusion complexation of Epothilone A with native cyclodextrin (ß- or γ-CD) and its derivative hydroxypropyl-ß-cyclodextrin (HPßCD) were prepared. Their behavior, characterization, and binding ability were investigated in both solution and the solid state by means of UV-vis, NMR, XRD, DSC and SEM. The results show that the water solubility and solution stability obviously increased in the inclusion complex with cyclodextrins. Meanwhile, the inclusion complexes still retained anticancer activity against A549 and MCF-7 cells, similar to free Epothilone A. This satisfactory water solubility, high solution stability, and high anticancer activity of the Epothilone A/CD complexes will be potentially useful as an anticancer therapy.


Asunto(s)
Ciclodextrinas/química , Epotilonas/química , Rastreo Diferencial de Calorimetría , Línea Celular Tumoral , Ciclodextrinas/farmacología , Ensayos de Selección de Medicamentos Antitumorales , Epotilonas/farmacología , Humanos , Espectroscopía de Resonancia Magnética , Microscopía Electrónica de Rastreo , Solubilidad , Espectrofotometría Ultravioleta , Espectroscopía Infrarroja por Transformada de Fourier , Termogravimetría , Difracción de Rayos X
2.
Guang Pu Xue Yu Guang Pu Fen Xi ; 31(7): 2003-6, 2011 Jul.
Artículo en Chino | MEDLINE | ID: mdl-21942070

RESUMEN

Spectral difference is an important aspect for extracting shadows of buildings. Based on the analysis of the relationship between the building heights and the shadows in ALOS Images, the paper presents the principle and the method for building heights estimation in a city from the shadows of an image, and works out a feasible approach to determining shadow zones in a panchromatic ALOS Images. It has also contributed a standard process for extracting buildings distribution information of different heights in a city from the shadows in a panchromatic ALOS Images. A result with about 87.6% accuracy has been achieved while applying this technique to Tianjin City, which has demonstrated prospective applications of satellite remote sensing to urban purposes.

3.
Guang Pu Xue Yu Guang Pu Fen Xi ; 30(7): 1839-42, 2010 Jul.
Artículo en Chino | MEDLINE | ID: mdl-20827982

RESUMEN

Topographic correction for remotely sensed imagery is an important preprocessing step in order to improve the retrieval accuracy of land surface spectral reflectance in mountainous area. Various kinds of topographic correction models have been proposed in the literature. Each model has its advantages and limitations. In consideration of the limitations of the topographic correction models in the literature, an improved Shepherd topographic correction model is proposed in this paper. Diffuse irradiance is an essential factor in the physically based topographic correction model. While in the Shepherd model (originally proposed by Shepherd et al. in 2003), accuracy of the method to compute the diffuse irradiance is relatively low; therefore, the accuracy of the land surface spectral reflectance retrieved with the Shepherd model is impacted. In order to improve the accuracy of diffuse irradiance, hence the accuracy of land surface spectral reflectance, a different method (named the Perez model), is used to obtain the diffuse irradiance with higher accuracy in the improved Shepherd model. Landsat 5 Thematic Mapper (TM) imagery acquired on July 12th 2006, over the mountainous areas in the north of Beijing city, was employed to retrieve land surface spectral reflectance with the improved Shepherd topographic correction model and 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) atmospheric radiative transfer model. Correction results were tested with three different methods. Testing result shows that the improved Shepherd topographic correction model can achieve a good correction result and is better than Shepherd and C topographic correction model. What is more, this improved model is physically based and can be applied to all kinds of optical satellite imagery.

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