Skip to content
#diffusion models Open access

FORMULATION, DEVELOPMENT AND OPTIMIZATION OF MICROSPHERE CONTAINING CRISABOROLE BY DESIGN OF EXPERIMENT APPROACH

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Advancements in Transdermal Drug Delivery

Abstract

ABSTRACT The present study was aimed at the formulation, development, and optimization of Crisaborole-loaded microspheres using a Design of Experiment (DoE) approach for potential topical drug delivery. Crisaborole is a topical phosphodiesterase-4 inhibitor used in the management of inflammatory skin conditions; however, its poor aqueous solubility presents a challenge for conventional formulation development. Preformulation studies were performed to evaluate the organoleptic properties, solubility, pH, melting behavior, UV absorption characteristics, calibration profile, and FTIR spectrum of Crisaborole. The drug exhibited a white to off-white crystalline powder appearance and was practically insoluble in water but showed better solubility in selected organic solvents. The maximum absorption wavelength was observed at 251 nm. A Box–Behnken design was employed to optimize three formulation variables, namely polymer concentration, surfactant concentration, and stirring time, using particle size and entrapment efficiency as the critical responses. The particle size of the prepared formulations ranged from 166.24 to 862.11 nm, while entrapment efficiency ranged from 67.08 to 95.87%. The linear model was found to be statistically significant for both responses, with p < 0.0001. The optimized formulation exhibited a predicted particle size of 184.778 nm and an experimental particle size of 204.6 nm, with a zeta potential of −21.4 mV. The predicted entrapment efficiency was 95.586%, whereas the experimentally obtained value was 93.43%, demonstrating good agreement between predicted and experimental values. SEM analysis confirmed the formation of nearly spherical microspheres with relatively smooth and intact surfaces. In-vitro drug release studies demonstrated sustained drug release up to 98.97% over 14 h. The release data showed the best fit with the Higuchi model (R² = 0.992), indicating predominantly diffusion-controlled drug release. Stability studies over 90 days under long-term and accelerated conditions showed only minor changes in formulation characteristics. Overall, the DoE approach successfully identified optimized formulation conditions and produced Crisaborole-loaded microspheres with satisfactory particle characteristics, high drug entrapment, sustained release, and acceptable stability, indicating their potential for topical drug delivery. Keywords: Crisaborole; Microspheres; Design of Experiment; Box–Behnken Design; Response Surface Methodology; Particle Size; Entrapment Efficiency; Zeta Potential; Sustained Drug Release; Topical Drug Delivery.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

GPT-Lab Sep 10, 2026

Responsible AI Must Consider Its Afterlife

AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.