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Application of Hydrophilic Lipophilic Difference Theory for Fenofibrate Formulation as a Self-Emulsifying Drug Delivery System
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Improved oral bioavailability of lipophilic substances can be achieved using self-emulsifying drug delivery systems. However, because the properties of self-emulsifying are greatly influenced by surfactant amount and type, type of oil used, droplet size, charge, cosolvents, and physiological variables, the synthesis of self-emulsifying is highly complex; consequently, only a small number of excipient self-emulsifying formulations has been developed so far for clinical use. This study reports a highly effective procedure for developing self-emulsifying formulations using a novel approach based on the hydrophilic-lipophilic difference theory. Microemulsion characteristics, such as the constituents and amounts of oil and surfactant electrolyte concentration and temperature, were optimized to produce high-quality self-emulsifying drug delivery systems. Furthermore, in vitro lipolysis and in vivo bioavailability studies of fenofibrate, a highly lipophilic oral drug, loaded self-emulsifying dosage form were conducted. The self-emulsifying drug delivery system used in this study comprised soybean oil, water with a specific salinity, sodium dioctyl sulphosuccinate as a surfactant, and orlistat as a lipase inhibitor. The hydrophilic-lipophilic difference-based approach involved fewer experiments and allowed for the development of an efficient self-emulsifying dosage form with a relatively low surfactant concentration when compared to previous works. The salinity and equivalent alkane carbon number were optimized, with the proper selection of the type and amount of surfactant, to obtain a bicontinuous microemulsion (Winsor type III) that can be fully diluted with water. In vitro lipolysis was investigated in fasting and feeding settings, which showed a significant dosage form digestion by lipase enzyme; orlistat was successfully used to overcome dosage digestion and drug precipitation problem. In vivo experiments in rats involved oral gavage with a self-emulsifying dosage form containing fenofibrate (20 mg/kg). The pharmacokinetic profile of fenofibric acid showed remarkable enhancement in the bioavailability (F-95%). These findings demonstrate that the hydrophilic-lipophilic difference approach is a practical, scalable, and easy technique for self-emulsifying drug delivery system formulation development. Keywords: HLD theory, fenofibrate, SEDDS, lipolysis

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Publication Date
Wed Jul 06 2022
Journal Name
Journal Of Al-qadisiyah For Computer Science And Mathematics
Pixel Based Techniques for Gray Image Compression: A review
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Currently, with the huge increase in modern communication and network applications, the speed of transformation and storing data in compact forms are pressing issues. Daily an enormous amount of images are stored and shared among people every moment, especially in the social media realm, but unfortunately, even with these marvelous applications, the limited size of sent data is still the main restriction's, where essentially all these applications utilized the well-known Joint Photographic Experts Group (JPEG) standard techniques, in the same way, the need for construction of universally accepted standard compression systems urgently required to play a key role in the immense revolution. This review is concerned with Different

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Publication Date
Tue Jul 30 2024
Journal Name
Academia Open
Positioning Preterm Newborns for Cardiorespiratory Stability A Global Insight
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Publication Date
Thu May 17 2012
Journal Name
Eurasip Journal On Wireless Communications And Networking
A cluster-based proxy mobile IPv6 for IP-WSNs
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Publication Date
Sat Aug 06 2022
Journal Name
Ijci. International Journal Of Computers And Information
Techniques for DDoS Attack in SDN: A Comparative Study
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Abstract Software-Defined Networking (commonly referred to as SDN) is a newer paradigm that develops the concept of a software-driven network by separating data and control planes. It can handle the traditional network problems. However, this excellent architecture is subjected to various security threats. One of these issues is the distributed denial of service (DDoS) attack, which is difficult to contain in this kind of software-based network. Several security solutions have been proposed recently to secure SDN against DDoS attacks. This paper aims to analyze and discuss machine learning-based systems for SDN security networks from DDoS attack. The results have indicated that the algorithms for machine learning can be used to detect DDoS

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Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
A Cryptosystem for Database Security Based on TSFS Algorithm
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Implementation of TSFS (Transposition, Substitution, Folding, and Shifting) algorithm as an encryption algorithm in database security had limitations in character set and the number of keys used. The proposed cryptosystem is based on making some enhancements on the phases of TSFS encryption algorithm by computing the determinant of the keys matrices which affects the implementation of the algorithm phases. These changes showed high security to the database against different types of security attacks by achieving both goals of confusion and diffusion.

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Publication Date
Sat Oct 01 2016
Journal Name
International Journal Of Pure And Apllied Mathematics
A SEMI ANALYTICAL ITERATIVE TECHNIQUE FOR SOLVING DUFFING EQUATIONS
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Publication Date
Sun Oct 15 2023
Journal Name
Journal Of Yarmouk
Artificial Intelligence Techniques for Colon Cancer Detection: A Review
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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Computational And Theoretical Nanoscience
Three-Dimensional Seismic Response Analysis for a Rockfill Dam
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Publication Date
Sat Jul 01 2017
Journal Name
Journal Of King Saud University - Science
A semi-analytical iterative technique for solving chemistry problems
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Publication Date
Tue Jun 08 2021
Journal Name
Biomolecules
A Pan-Inhibitor for Protein Arginine Methyltransferase Family Enzymes
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Protein arginine methyltransferases (PRMTs) play important roles in transcription, splicing, DNA damage repair, RNA biology, and cellular metabolism. Thus, PRMTs have been attractive targets for various diseases. In this study, we reported the design and synthesis of a potent pan-inhibitor for PRMTs that tethers a thioadenosine and various substituted guanidino groups through a propyl linker. Compound II757 exhibits a half-maximal inhibition concentration (IC50) value of 5 to 555 nM for eight tested PRMTs, with the highest inhibition for PRMT4 (IC50 = 5 nM). The kinetic study demonstrated that II757 competitively binds at the SAM binding site of PRMT1. Notably, II757 is selective for PRMTs over a panel of other methyltransferases, w

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