Prediction of a Stable Microemulsion Formulation for the Oral Delivery of a Combination of Antitubercular Drugs Using ANN Methodology

Abstract

A novel microemulsion formulation capable of delivering rifampicin and isoniazid in combination was created to allow for their differences in solubility and potential for chemical reaction. The developed model allowed better understanding of the process of microemulsion formation and stability within pseudoternary colloidal systems.

Artificial Neural Networks: Theoretical Background and Pharmaceutical Applications: A Review

“…Application of ANNs in pharmaceutical technology can be grouped into two main classes: the optimization of dosage form composition, and the optimization of preparation technology of a particular dosage form (156). The examples in Table 3 have confirmed that neural networks provide a very useful tool for development of the most modern drug delivery systems, such as microemulsions (140), gels (127,141), hydrogels (131,132,134), capsules (126), pellets (130), and tablets (127,128,146,147,159). Controlled-release drug delivery systems offer great advantages over conventional dosage forms.…”

Advances in nanotechnology-based carrier systems for targeted delivery of bioactive drug molecules with special emphasis on immunotherapy in drug resistant tuberculosis – a critical review

“…Agatonovic-Kustrin et al (2003) formulated a colloidal dosage form for oral delivery of isoniazid and rifampicin using artificial neural network (ANN) data modeling, which helps to understand the basic process of microemulsion formation and their stability DOI: 10.3109/10717544.2015.1074765 Nanotechnology-based carrier systems 5 within pseudo-ternary and ternary colloidal systems. The solubility behavior of two combined drugs and stability can be predicted based on the separation of two drugs into oil and water phases depending upon their solubility (Agatonovic-Kustrin et al, 2003).…”

Microemulsions as Drug Delivery Systems

“…Nonionic and zwitterionic surfactants are among the most commonly used ingredients to formulate pharmaceutical MEs while vegetable oils, medium -and long -chain triglycerides, and esters of fatty acids are the most commonly used oils [2] . Among the range of nonionic surfactants used are sucrose esters [13] , polyoxyethylene alkyl ethers [14] , polyglycerol fatty acid esters [15] , polyoxyethylene hydrogenated castor oil [16] , and sorbitan esters [17] . Furthermore, systems formulated with zwitterionic phospholipids, particularly lecithin, have been widely investigated because of their biocompatible nature [9, 18 -22] .…”

“…Artifi cial neural networks have been investigated and were shown to be promising in phase behavior studies [17,35,36] as well as in the process of ingredient selection [37] .…”