International Journal of Pharmacy Research & Technology (IJPRT)

Amorphous –state Characterization and Dissolution Behaviour of Efavirenz- Tocopheryl Polyethylene Glycol Succinate (TPGS)-1000 Solid Dispersions

2024-04-08T06:04:24+03:00

The aim of the present investigation was to enhance the aqueous solubility and dissolution rate of a poorly soluble drug, efavirenz, by preparation of solid dispersions with tocopheryl polyethylene glycol succinate (TPGS)-1000, a non - ionic surfactant. Phase solubility studies suggested that the solubility of efavirenz increased with the increase in TPGS concentration.1 absorption. Gibbs free energy (ΔG) were negative, indicatingthe spontaneous nature of efavirenz solubilization. Dispersions in different ratios were prepared using the fusion method and their physicochemical characteristics were investigated using Fourier Transform Infrared Spectroscopy(FTIR), X-ray Powder Diffraction studies(XRPD) and Scanning Electron Microscopy(SEM).A drug: carrier ratio of 1:1.5 w/w prepared by cooling the fused mixtures at 5° C showed the highest drug release of 33.27%.It was demonstrated that decrease in crystallinity of the drug and H-bonding between efavirenz and TPGS-1000 might be responsible for the enhanced dissolution rate. Analysis of dissolution data showed the best fitting with Higuchi model.

Diverse Techniques on Digital Image Compression Techniques: A Meta Analysis on Medical Images

2024-06-21T04:55:01+03:00

This paper examines a diverse array of image compression methods. This paper presents a review of existing research papers that are based on an examination of the diverse image compression methods. This paper investigates a diverse array of existing image compression techniques. The compression of binary unprocessed data is significantly different from that of an image. To resolve
these issues, employ a diverse array of image compression techniques. The question of how to compress an image and which techniques are employed may now arise. The two primary methods introduced for this purpose are lossless and lossy image compression techniques. Presently, the fundamental procedure is supplemented by supplementary methodologies. In specific regions,
neural network and wavelet-based algorithms are employed to compress images.

Impact and Significance of Wireless Sensor Network in Health Care: A Systematic Analysis

2024-06-21T05:00:05+03:00

Wireless Sensor Networks (WSNs) have been used in various fields to monitor and collect data by connecting several nodes. This systematic review investigates the role and potential of WSNs in various fields such as environmental sensing, health care, manufacturing, and smart city. In comparison to wired networks, WSNs offer higher scalability, flexibility, and cost-effectiveness.
Some of the areas that have been affected positively include; accuracy in data collection and gathering, response to events of importance, and efficiency in energy usage. Beyond this, the importance of WSNs is also in their suitability for enabling more complex applications such as IoT, as well as in their capacity to enable heterogeneity and integration between different devices. This
analysis gives the recent developments in WSN technologies like low power communication protocols, security and robustness, and network management that improve the effectiveness of WSNs. This research also reveals some limitations, such as a lack of power, data privacy, and the absence of standards. The systematic analysis highlights the importance of WSNs in the enhancement of technology solutions, innovation, and handling of emerging issues in different fields.