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In recent years, several mathematical models have been developed for analysis of drug dissolution data, and many different mathematical approaches have been proposed to assess the similarity between two drug dissolution profiles. However, until now, no computer program has been reported for simplifying the calculations involved in the modeling and comparison of dissolution profiles. The purposes of this article are: (1) to describe the development of a software program, called DDSolver, for facilitating the assessment of similarity between drug dissolution data; (2) to establish a model library for fitting dissolution data using a nonlinear optimization method; and (3) to provide a brief review of available approaches for comparing drug dissolution profiles. DDSolver is a freely available program which is capable of performing most existing techniques for comparing drug release data, including exploratory data analysis, univariate ANOVA, ratio test procedures, the difference factor f (1), the similarity factor f (2), the Rescigno indices, the 90% confidence interval (CI) of difference method, the multivariate statistical distance method, the model-dependent method, the bootstrap f (2) method, and Chow and Ki's time series method. Sample runs of the program demonstrated that the results were satisfactory, and DDSolver could be served as a useful tool for dissolution data analysis.

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Nanocarriers capable of circumventing various biological barriers between the site of administration and the therapeutic target hold great potential for cancer treatment. Herein, a redox‐sensitive, hyaluronic acid‐decorated graphene oxide nanosheet (HSG) is developed for tumor cytoplasm‐specific rapid delivery using near‐infrared (NIR) irradiation controlled endo/lysosome disruption and redox‐triggered cytoplasmic drug release. Hyaluronic acid (HA) modification through redox‐sensitive linkages permits HSG a range of advantages over the standard graphene oxide, including high biological stability, enhanced drug‐loading capacity for aromatic molecules, HA receptor‐mediated active tumor targeting, greater NIR absorption and thermal energy translation, and a sharp redox‐dependent response for accelerated cargo release. Results of in vivo and in vitro testing indicate a high loading of doxorubicin (DOX) onto HSG. Selective delivery to HA‐receptor overexpressing tumors is achieved through passive and active targeting with minimized unfavorable interactions with blood components. Cytoplasm‐specific DOX delivery is then achieved through NIR controlled endo/lysosome disruption along with redox‐triggered release of DOX in glutathione rich areas. HSG's specificity is resulted in enhanced cytotoxicity of chemotherapeutics with minimal collateral damage to healthy tissues in a xenograft animal tumor model. HSG is validated the programmed delivery of therapeutic agents in a spatiotemporally controlled manner to overcome multiple biological barriers results in specific and enhanced cancer treatment.

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