American Journal of PharmTech Research

There is an increasing demand for natural, biodegradable and cost- effective excipients among people and companies which have encouraged the exploration of plant- based polymers in pharmaceutical formulations. Banana starch, obtained from unripe Musa species, possesses desirable physicochemical properties such as good swelling capacity, film- forming, biocompatibility, making it a promising pharmaceutical excipient. The present review looks at the formulation and development of medicinal gel using banana starch. Banana starch was isolated, purified and the parameters like pH, viscosity, swelling index, and gelatinization behavior was checked. Different concentrations of banana starch were taken to prepare gels and these gels were checked for clarity, homogeneity, pH, viscosity, spreadability, extrudability, drug content uniformity and ex-vivo drug release. The results show that the gels have properties and do not go bad easily. It showed acceptable physicochemical properties and good stability under short- term studies. Drug release studies indicated a controlled release pattern dependent on how much starch is present in the gel, due to matrix formation. The study suggests that banana starch can be used of man-made materials to make medicine gels. Banana starch is good for the environment, not poisonous and easy to get. This makes it suitable for use, in medicine delivery systems like gels you put on your skin. The banana starch gel can be a way to deliver medicine through the skin. It has potential to be used for making types of medicine gels.

The necessity for sustainable and health monitoring menstruation solutions is underscored by the growing environmental impact resulting from synthetic sanitary products and the restricted availability of early diagnostic instruments for vaginal infections . In our work a new environmentally friendly smart biodegradable sanitary napkin with an integrated plant based pH indicator strip is designed with fusion of Lippia javanica extract for the early diagnosis of vaginal infections. The product twin purpose of managing menustral hygine and facilitating real time monitoring of vaginal pH .

Microemulsions are multifunctional complex colloidal dispersed systems with widely utilized applications in drug delivery systems and chemical engineering. The interwoven relationship within their compositional variables, like surfactants, oil-to-water ratios, and co-surfactant type, leads to highly nonlinear phase behaviors that are difficult to analyze using traditional empirical or mechanistic models. This narrative review mainly focuses on the emerging role of artificial neural networks (ANNs) in optimizing microemulsion systems. Initially, the current study contextualizes the physicochemical factors of microemulsions and identifies their computational bottlenecks in formulation and phase behavior predictions. The review then analyses the relevant neural network structures, including feed forward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), for assessing their applicability to high-dimensional regression and classification and, furthermore, to reduce experimental load in microemulsion research. One of the advancements of using ANN is that it can identify the ideal concentration of excipients for the desirable properties of emulsion. Case studies are addressed wherein neural networks have been tutored on experimental and simulated datasets to estimate the droplet size distribution, construct pseudo-ternary phase diagrams, and identify optimal formulation properties. In addition to that, emphasis is applied to model structural design, feature selection strategies, and model validation techniques. The study also considers the current obstacles, such as paucity of data availability, over-fitting, and the integration of expertise knowledge in the learning models. Looking forward to the next context, this review illustrates that artificial neural network-based approaches provide a scalable and adaptable computational framework for boosting innovation in microemulsion science.