Objective(s): Biocompatibility, non-toxicity, minimal allergenicity, and biodegradability are all characteristics of chitosan. Other biological properties of chitosan have been reported, including antitumor, antimicrobial and antioxidant activities. This research aim is the synthesis of drug compounds by preparation and characterization of polymer chitosan Schiff base and chitosan Schiff base / Poly vinyl alcohol / poly vinyl pyrrolidone Nanocomposite and study applications (anticancer cell line, antimicrobial agents). Methods: Chitosan Schiff base was prepared from the reaction of chitosan with carbonyl group of 4-nitro benzaldehyde. Polymer blend have been prepared by solution casting method. Chitosan Schiff base mixing with PVA and PVP. Green synthesis of AuNPs and AgNPs by onion peals extract as reducing agent. Nanocomposites were prepared by mixing 10 mL of chitosan Schiff base, 5 mL PVA and 5 mL of PVP with 25 mL of two different concentrations (100, 200 ppm) of AuNPs and AgNPs. In vitro bacterial activities polymer blends and Au, Ag nano composites were performed against pathogenic bacteria such as the Acinetobacter baumannii, Staphylococcus aureus, Pseudomonas aeruginosa and Esherichia coli. Cancer cell line (AMJ-13) cell line. Results: The prepared AgNPs and AuNPs were characterized by UV-visible spectroscopy, SEM microscopy and XRD analysis. UV-vis spectrum of AuNPs at 543 nm and AgNPs at 425 nm, particles size of AuNPs 24.74 nm and AgNPs 18.77 nm. The polymer blends and nano composites were characterized by FT-IR, SEM, DSC and TGA. DSC analysis investigated the polymer blend and nano composites shows a good thermal stability for all prepared compounds. The inhibition zone of blend and nanocomposites The Inhibition zone of blend and Nano composites ranging between (8-15) millimetre with concentration of 20 mg. The inhibition rate of blend and Nanocomposites ranging between (1.33 – 77.33) for all compounds. IC 50 of blend and Nanocomposites ranging between (26.04 - 183.56) µg for all compounds. Conclusions: The prepared AgNPs and AuNPs were characterized by UV-visible spectroscopy, SEM microscopy and XRD analysis. UV-vis spectrum of AuNPs at 543 nm and AgNPs at 425 nm, particles size of AuNPs 24.74 nm and AgNPs 18.77 nm. The polymer blends and nano composites were characterized by FT-IR, SEM, DSC and TGA. DSC analysis investigated the polymer blend and nano composites shows a good thermal stability for all prepared compounds. The inhibition zone of blend and nanocomposites The Inhibition zone of blend and Nano composites ranging between (8-15) millimetre with concentration of 20 mg. The inhibition rate of blend and Nanocomposites ranging between (1.33 – 77.33) for all compounds. IC 50 of blend and Nanocomposites ranging between (26.04 - 183.56) µg for all compounds.
The aim of this article is to solve the Volterra-Fredholm integro-differential equations of fractional order numerically by using the shifted Jacobi polynomial collocation method. The Jacobi polynomial and collocation method properties are presented. This technique is used to convert the problem into the solution of linear algebraic equations. The fractional derivatives are considered in the Caputo sense. Numerical examples are given to show the accuracy and reliability of the proposed technique.
Activated carbon prepared from date stones by chemical activation with ferric chloride (FAC) was used an adsorbent to remove phenolic compounds such as phenol (Ph) and p-nitro phenol (PNPh) from aqueous solutions. The influence of process variables represented by solution pH value (2-12), adsorbent to adsorbate weight ratio (0.2-1.8), and contact time (30-150 min) on removal percentage and adsorbed amount of Ph and PNPh onto FAC was studied. For PNPh adsorption,( 97.43 %) maximum removal percentage and (48.71 mg/g) adsorbed amount was achieved at (5) solution pH,( 1) adsorbent to adsorbate weight ratio, and (90 min) contact time. While for Ph adsorption, at (4) solution pH, (1.4) absorbent to adsorbate weight ratio, and (120 min) contact
... Show MoreMost companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
... Show MoreThe research aims to identify the effect of teaching according to the augmented reality on the technique of the visual thinking skills among scientific fifth-grade students in a biology course. In order to achieve the goal of the research, the researcher adopted the experimental approach with the partial set of the two equal groups with the dimensional test of visual thinking skills, The research population represented all the scientific students of the fifth grade for morning government schools affiliated to the General Directorate of Education of Baghdad / Karkh II, alshakerin preparatory for boys was chosen intentionally, in which two groups were chosen for this study, one group is chosen randomly as the control group via lottery, whe
... Show MoreAssessing water quality provides a scientific foundation for the development and management of water resources. The objective of the research is to evaluate the impact treated effluent from North Rustumiyia wastewater treatment plant (WWTP) on the quality of Diyala river. The model of the artificial neural network (ANN) and factor analysis (FA) based on Nemerow pollution index (NPI). To define important water quality parameters for North Al-Rustumiyia for the line(F2), the Nemerow Pollution Index was introduced. The most important parameters of assessment of water variation quality of wastewater were the parameter used in the model: biochemical oxygen demand (BOD), chemical oxygen dem
Abstract
The purpose of our study was to develop Dabigatran Etexilate loaded nanostructured lipid carriers (DE-NLCs) using Glyceryl monostearate and Oleic acid as lipid matrix, and to estimate the potential of the developed delivery system to improve oral absorption of low bioavailability drug, different Oleic acid ratios effect on particle size, zeta potential, entrapment efficiency and loading capacity were studied, the optimized DE-NLCs shows a particle size within the nanorange, the zeta potential (ZP) was 33.81±0.73mV with drug entrapment efficiency (EE%) of 92.42±2.31% and a loading capacity (DL%) of 7.69±0.17%. about 92% of drug was released in 24hr in a controlled manner, the ex-vivo intestinal p
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