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Institution

Azarbaijan Shahid Madani University

EducationTabriz, Iran
About: Azarbaijan Shahid Madani University is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Graphene & Nanocomposite. The organization has 1477 authors who have published 3186 publications receiving 30278 citations. The organization is also known as: Azarbaijan University.


Papers
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Journal ArticleDOI
TL;DR: Using NZIF-8 as a valuable candidate to develop highly efficient drug delivery vehicles in the treatment of infectious diseases using pH-responsive release highlights the potential of using the method to prepare gentamaicin (GEN) nanoparticles at room temperature.
Abstract: In this study, a simple method was developed to prepare gentamaicin (GEN)—loaded nanoscale zeolitic imidazolate framework-8 (GEN@NZIF-8) nanoparticles (NPs) at room temperature and GEN@NZIF-8 NPs were characterized by FT-IR spectroscopy, powder X-ray diffraction, scanning electron microscopy, thermogravimetric analysis, BET nitrogen adsorption–desorption, and UV–Vis spectroscopy. The PXRD patterns showed that large drug molecules can be encapsulated in ZIF-8 frameworks. Thermogravimetric analysis confirms that the GEN@NZIF-8 NPs have higher thermal stability than ZIF-8 NPs. FT-IR spectroscopy exhibted the presence of functional groups of GEN and NZIF-8 frameworks in GEN@NZIF-8 NPs. Results showed that GEN@NZIF-8 NPs exhibited high drug capacity (19%) and high drug loading capacity of gentamicin anions through ion exchange and good chemical stability. The researchers attempted to demonstrate that large drug molecules at pH 5.0 and 7.4 could be loaded in NZIF-8 NPs. Additionally, drug release in acidic condition was faster than in physiological condition. The biological activities of GEN, NZIF-8 and GEN@NZIF-8 NPs against Gram-positive and Gram-negative bacteria showed that the GEN@NZIF-8 NPs had good antimicrobial activity. This work highlights the potential of using NZIF-8 as a valuable candidate to develop highly efficient drug delivery vehicles in the treatment of infectious diseases using pH-responsive release.

45 citations

Journal ArticleDOI
TL;DR: The aWMT group showed greater pre-to post-training increases in cognitive control as measured by the GoNogo task as well as improvements in symptoms of PTSD and increased use of adaptive emotion regulation strategies.

44 citations

Journal ArticleDOI
TL;DR: An automatic local feature weighting scheme is proposed to properly weight the features of each clusters and a cluster weighting process is performed to mitigate the initialization of the FCM.

44 citations

Journal ArticleDOI
TL;DR: In this article, a method for the extraction, preconcentration, and determination of non-steroidal acidic anti-inflammatory drugs (ibuprofen, naproxen, and diclofenac) from biological samples has been developed using simultaneous derivatization and air-assisted liquid-liquid microextraction followed by gas chromatography-flame ionization detection.
Abstract: A sensitive and reliable method for the extraction, preconcentration, and determination of non-steroidal acidic anti-inflammatory drugs (ibuprofen, naproxen, and diclofenac) from biological samples has been developed using simultaneous derivatization and air-assisted liquid–liquid microextraction followed by gas chromatography–flame ionization detection. In this method, a mixture of an extraction solvent (chloroform) and a derivatizing agent (butyl chloroformate) is added into a glass test tube containing an aqueous sample of the analytes and picoline (catalyst). The mixture is dispersed by repeatedly aspirating and dispensing via a syringe. By this action, derivatization and extraction of the selected analytes is performed simultaneously. Under the optimal conditions, enrichment factors and extraction recoveries were obtained in the ranges 364–412 and 72–82 %, respectively. The linear ranges were broad with correlation coefficients higher than 0.995. Limits of detection were obtained in the ranges 0.06–3.30 and 0.24–13 ng mL−1 in urine and plasma samples, respectively. Limits of quantification were 0.21–9.2 ng mL−1 in urine and 0.84–37 ng mL−1 for plasma sample. Relative standard deviations were lower than 5.2 % for six repeated determinations at a concentration of 25 ng mL−1 of each analyte. Finally, the developed method was successfully applied to determine the selected analytes in urine and plasma samples.

44 citations

Journal ArticleDOI
TL;DR: This paper addresses the optimal scheduling of straight pipelines featuring multiple intermediate nodes acting as dual-purpose stations, with a continuous-time Mixed-Integer Linear Programming formulation partly derived from Generalized Disjunctive Programming.

44 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202233
2021460
2020489
2019406
2018377