Result of the Summer Semester Exams for the Clinical Pharmacy Program of the academic year 2021-2022
نتيجة الفصل الصيفى برنامج الصيدلة الاكلينيكية 2021-2022
Do you have any questions? (088) 2080369 - 2345622 Pharmacy_QAAU@pharm.aun.edu.eg
نتيجة الفصل الصيفى برنامج الصيدلة الاكلينيكية 2021-2022
God willing, The Medicinal Chemistry Department Council will hold its regular monthly meeting number (455) on Tuesday, October 4, 2022 at 10:00 AM
In The Department Library
God willing, The Pharmacognosy Department Council will hold its regular monthly meeting number (25) on Monday, October 3, 2022 10:00 AM
in the department board meeting room.
God willing, The Pharmaceutical Analytical Chemistry Department Council will hold its regular monthly meeting number (494) on Monday, October 3, 2022 at 12:00 AM..
In the meetings Hall of the Department
God willing, the meeting of the Pharmaceutics Department Board of the Faculty of Pharmacy No. (505) will be held on Monday, October 3, 2022 10:00 AM
in the teaching hall on the third floor under the chairmanship of the Faculty to discuss the topics that we will inform you later.
The present work was performed in order to study the mechanism of micellar thin layer chromatography (MTLC) and to develop a new simple and sensitive simultaneous MTLC method for separation of empagliflozin, Linagliptin and metformin hydrochloride ternary mixture. The study was done using three different surfactants; sodium dodecyl sulphate (SDS), benzalkonium chloride (BAC) and polysorbate 80 (tween 80). Chromatographic procedure was performed using micellar mobile phase that composed of aqueous solution of each surfactant and methanol (6: 4 v/v) and micellar TLC determination at λmax 237 nm. Separation using SDS (anionic surfactant) and BAC (cationic surfactant) depends on ionization potential (AMI-IP), partition coefficient (logP (o/w)) and hydrogen bond donor atoms (a-don), whereas separation using tween 80 depends mainly on the lipophilicity (RM0), solvation energy (E-sol) and Van der Waals energy (E-vdw). Quantitative structure–retention relationships study was carried out, modeled, evaluated and validated using molecular operating environment software.