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Synthesis of Polypyrrole‐Graphene Oxide (PPy/GO) from Deep Eutectic Solvent and Its Characterization for Determination of Metronidazole Pharmaceutical Substance Using Spectrofluorometric Technique
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Abstract<p> A polypyrrole‐graphene oxide (PPy/GO) nanocomposite was made chemically using a polymerization method in deep eutectic solvents made up of choline chloride and propionic acid in a 1:2 molar ratio. The purpose of this study is to examine the feasibility and efficacy of PPy/GO nanocomposite in the detection of metronidazole in pharmaceutical formulations utilizing spectrofluorometric techniques. Characterization of the synthesized PPy/GO nanocomposite was conducted using several methods such as transmission electron microscopy (TEM), scanning electron microscopy (SEM), Fourier‐transform infrared spectroscopy (FTIR), thermal gravimetric analysis (TGA), and X‐ray diffraction (XRD). The optimal parameters such as pH buffer solution, potential interferences, reaction duration, concentrations of metronidazole, and interference, and test in real sample were examined. Under the established ideal conditions, the curve of calibration exhibited a linear range of 0.3–20 µg/mL, with a correlation coefficient (R <sup>2</sup> ) of 0.98712. The limit of detection (LOD) was 0.09 µg/mL, while the limit of quantification (LOQ) was 0.29 µg/mL. The relative standard deviation (RSD) readings for five replicates of three metronidazole standard solutions (0.3, 10, or 20 µg/mL) were assessed, yielding RSD percentages ranging from 1.29% to 2.34% and error percentages from −3.33% to 1.20%, thereby demonstrating the method's precision and accuracy. This study provides a viable and useful way to detect metronidazole in pharmaceutical samples. Moreover, the data indicate that PPy/GO may constitute a novel category of fluorescence quenching reagent for medicinal applications. This approach is effective for regular analysis and quality control assays because of its relative freedom from interferences. </p>
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Publication Date
Thu Jul 02 2020
Journal Name
International Journal Of Pharmaceutical Research
Synthesis and Characterization of Some New Heterocyclic Compounds and Their Antibacterial Study
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Publication Date
Wed Jun 01 2022
Journal Name
Eurasian Chemical Communications
Characterization and synthesis of some new Schiff bases and their potential applications
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In this present work, [4,4`-(biphenyl-4,4`-diylbis(azan-1-yl-1-ylidene))bis(methan-1-yl-1-ylidene)bis(2-methoxyphenl)(A1),4,4`-(biphenyl-4,4`-diylbis(azan-1-yl-1-ylidene))bis(methan-1-yl-1-ylidene)diphenol(A2),1,1`-(biphenyl-4,4`-diylbis(azan-1-yl-1-ylidene))bis(methan-1-yl-1-ylidene) dinaphthalen-2-ol (A3)]C.S was prepared in 3.5% NaCl. Corrosion prevention at (293-323) K has been studied by using electrochemical measurements. It shows that the utilized inhibitors are of mixed type based on the polarization curves. The results indicated that the inhibition efficiency changes were used with a change according to the functional groups on the benzene ring and through the electrochemical technique. Temperature increases with corrosion current

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Publication Date
Sun Sep 04 2011
Journal Name
Baghdad Science Journal
Determination of bacterial contamination of milk using fluorometry
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The aim of this paper is to determine the feasibility of using fluorometric methods as an indicator for quality and contamination of milk with E.coli bacteria, and selection the suitable wavelength to be used with laser induced auto fluorescence. Three groups of milk samples were used in this study: Fresh pasteurized milk samples, milk samples containing different concentration of E.coli bacteria which were added artificially, and milk samples that were kept in refrigerator for 3-5 days. Thirteen excitation wavelengths were used to get the emission spectra for all milk samples using spectroflourometer .The results showed that the emission spectra at 275nm excitation wavelength gave a good differentiation between these three groups.

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Publication Date
Fri Jan 01 2016
Journal Name
Journal Of Engineering
The Effective of Pressure and Sintering Temperature for Hardness Characteristics of Shape Memory Alloy by Using Taguchi Technique
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This paper presents the Taguchi approach for optimization of hardness for  shape memory alloy (Cu-Al-Ni) . The influence of  powder metallurgy parameters on hardness has been investigated. Taguchi technique and ANOVA were used for analysis. Nine experimental runs based on Taguchi’s L9 orthogonal array were performed (OA),for two parameters was study (Pressure and sintering temperature) for three different levels (300 ,500 and 700) MPa ,(700 ,800 and  900)oC respectively . Main effect, signal-to-noise (S/N) ratio was study, and analysis of variance (ANOVA) using  to investigate the micro-hardness characteristics of the shape memory alloy .after application the result of study shown the hei

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Publication Date
Fri Nov 18 2011
Journal Name
Kerbala Journal Of Pharmaceutical Sciences
Synthesis and characterization of some substituted heterocyclic compounds and evaluation of biological activity
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This work includes preparing of some new derivatives of 1,2,4-Triazoles and oxazoles from the reaction between 3,5-dimethyl phenol and chloroethyl acetate in the presence of potassium carbonate and dry acetone to obtain the ester ethyl 3,5- dimethyl phenoxy acetate , then converted this ester to Thiosemicarbazone and Semicarbazone. Then ,the Triazoles were prepared from the cyclization of these Thiosemcarbazones and Semicarbazones in alkaline media( potassium hydroxide solution) . The prepared compounds were characterized by spectral methods FT-IR ,1H-NMR and measurement of some of its physical properties and evaluation of the biological activity for some of them.

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Publication Date
Mon Mar 15 2021
Journal Name
Egyptian Journal Of Chemistry
Synthesis and Characterization of some Tetrazole Derivatives and Evaluation of their Biological Activity
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Publication Date
Mon Apr 20 2026
Journal Name
International Journal Of Intelligent Engineering And Systems
A Robust Base-layer Design for Hierarchical IoT Intrusion Detection Using Hybrid Deep Learning
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The rapid development of Internet of Things (IoT) devices and their increasing numbers have caused a tremendous increase in network traffic and a wider range of cyber-attacks. This growing trend has complicated the detection process for traditional intrusion detection systems and heightened the challenges faced by these devices, such as imbalanced and large training data. This study presents a cohesive methodology of a series of intelligent techniques to prepare clean and balanced data for training the first (core) layer of a robust hierarchical intrusion detection system. The methodology was built by cleaning and compressing the data using an Autoencoder and preparing a strong latent space for balancing using a hybrid method that combines

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Publication Date
Thu Aug 31 2023
Journal Name
Journal Européen Des Systèmes Automatisés​
Deep Learning Approach for Oil Pipeline Leakage Detection Using Image-Based Edge Detection Techniques
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Natural gas and oil are one of the mainstays of the global economy. However, many issues surround the pipelines that transport these resources, including aging infrastructure, environmental impacts, and vulnerability to sabotage operations. Such issues can result in leakages in these pipelines, requiring significant effort to detect and pinpoint their locations. The objective of this project is to develop and implement a method for detecting oil spills caused by leaking oil pipelines using aerial images captured by a drone equipped with a Raspberry Pi 4. Using the message queuing telemetry transport Internet of Things (MQTT IoT) protocol, the acquired images and the global positioning system (GPS) coordinates of the images' acquisition are

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Publication Date
Tue Nov 01 2022
Journal Name
Iraqi Journal Of Applied Physics
Highly-Pure Nanostructured Metal Oxide Multilayer Structure Prepared by DC Reactive Magnetron Sputtering Technique
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In this work, metal oxides nanostructures, mainly, copper oxide (CuO), nickel oxide (NiO), titanium dioxide (TiO2), and multilayer structure were synthesized by dc reactive magnetron sputtering technique. The structural purity and nanoparticle size of the prepared nanostructures were determined. The individual metal oxide samples (CuO, NiO and TiO2) showed high structural purity and minimum particle sizes of 34, 44, 61 nm, respectively. As well, the multilayer structure showed high structural purity as no elements or compounds other than the three oxides were founds in the final sample while the minimum particle size was 18 nm. This reduction in nanoparticle size can be considered as an advantage for the dc reactive magnetron sputtering tec

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Publication Date
Tue Dec 27 2022
Journal Name
Chemical Papers
Synthesis, characterization, and application of external gelation of sodium alginate nanoparticles in molecular imprinting for separation and drug delivery of tenoxicam
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