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 new polydentate Schiff-base oxime (1E,1`E)-2hydroxy-3-((E)-(2-((E)-2hydrxy3-((E)-(hydroxyimino)methyl)-5-methylbenzyldeneamino)ethylimino)methyl)-5methylbenzaldehyde oxime H4L and its binuclear metal complexes with Mn(II), Fe(II), Co(II) and Cu(II) are reported. The reaction of 2,6 diformyl–4–methyl phenol with hydroxyl amine hydrochloride in mole ratios of 1:1 gave the precursor (E)-2-hydroxy-3((hydroxyimino)methyl)-5-methylbenzaldehyde. Condensation reaction of precursor with ethylenediamine in mole ratios of 2:1 gave the new N4O2 Schiff-base oxime ligand H4L. Upon complex formation, the ligand behaves as a tribasic hexadantate species. The mode of bonding and overall geometry of the complexes were determi
... Show MoreMagnetic plaster kiln dust (MPKD) was synthesized as a unique, low-cost composite reused of byproduct plaster kiln dust (PKD), which is considered a source of air pollution. The FESEM, EDS, XRD, FTIR, VSM, and BET tests were used to characterize the MPKD. The characterization revealed that the MPKD was nanotubes non-agglomerated and super-paramagnetic with a high specific surface area (102.7 m2/g). Compared with the specific area of other materials (composites), the MPKD could be considered a promising substance in the field of water/wastewater treatment.
The current research reports the preparation and fabrication of the silver paste conductor which is employed as a soldering material for electro – optical components ohmic interconnections. The prepared paste possesses electrical characteristics identical to the ohmic connectors as its observable from resistance – temperature variation. Moreover, the I – V characteristics obeys Ohm’s law and this dependency was further confirmed by the nearly constant capacitance measurements with voltage and frequency. A noticeable improvement in electrical conductivity, compared to the pure silver paste sample, was noted for samples prepared by mixing predetermined weight ratios of brass and copper. Furthermore, stability of electrical resistan
... Show MoreIn this work a series of fourteen new compounds were synthesized. Compound [1] was formed from the reaction of 2-aminobenzothiazole and p-bromophenacyl bromide. Aldehyde group [2] was obtained from the reaction of compound [1] with pocl3 in presence of DMF and CHCl3 .After that shiff bases have been synthesized from the reaction of compound [2] with different aromatic amine to give new shiff bases [3- 5]. These new shiff bases have been reduced to their corresponding amine [6-8] by means of sodium borohydride. Then reaction of shiff bases [3-5] with phenyl isocyanate gives 3-cyclic lactam derivatives [9-11]. 3-cyclic Oxazepine derivatives [12-14] were obtained by reaction of shiff bases [3-5] with succinic anhydride. These new formed co
... Show MoreThe last few years witnessed great and increasing use in the field of medical image analysis. These tools helped the Radiologists and Doctors to consult while making a particular diagnosis. In this study, we used the relationship between statistical measurements, computer vision, and medical images, along with a logistic regression model to extract breast cancer imaging features. These features were used to tell the difference between the shape of a mass (Fibroid vs. Fatty) by looking at the regions of interest (ROI) of the mass. The final fit of the logistic regression model showed that the most important variables that clearly affect breast cancer shape images are Skewness, Kurtosis, Center of mass, and Angle, with an AUCROC of
... Show MoreBackground: Breast cancer remains a substantial cause of morbidity and mortality, there is a need for continued efforts to understand the etiology of the disease, maintain screening effort, implement prevention strategies, and develop better treatments.Objective: To analyze the risk factors, improve early detection and prevention of breast cancer in Al-Russafa district- Baghdad, aiming to increase survival rate and improve the quality of life.Methods: A cross sectional audit of 258 breast cancer cases seen at Al-Elwiya maternity teaching hospital from January2009 to December 2011,data collected from patients files were: age, gender , residency, marital status, parity, age at menarche and menopause age at first live birth, hormonal therap
... Show MoreThe in vitro antimicrobial activity of Thymus vulgaris,Origanum vulgare and
Rosmarinus officinalis water extracts were studied against Streptococcus mutans,
Lactobacillus acidophilus and Candida albicans isolates two of each isolate. All cold water
extracts exhibited antimicrobial activity against all tested microorganisms. The largest zone of
inhibition was obtained against Candida albicans isolates. Streptococcus mutans isolates and
one isolate of Lactobacillus acidophilus showed no effect in 300mg\ml concentration of
Thymus vulgaris extract,while the same concentration of Rosmarinus officinalis extract had
no effect on all Streptococcus mutans isolates and Lactobacillus acidophilus isolates
.Origanum vul
<p>Currently, breast cancer is one of the most common cancers and a main reason of women death worldwide particularly in<strong> </strong>developing countries such as Iraq. our work aims to predict the type of tumor whether benign or malignant through models that were built using logistic regression and neural networks and we hope it will help doctors in detecting the type of breast tumor. Four models were set using binary logistic regression and two different types of artificial neural networks namely multilayer perceptron MLP and radial basis function RBF. Evaluation of validated and trained models was done using several performance metrics like accuracy, sensitivity, specificity, and AUC (area under receiver ope
... Show MoreBackground: Breast cancer is the most common cancer in Iraq and the United Kingdom. While the disease is frequently diagnosed among middleaged Iraqi women at advanced stages accounting for the second cause of cancer-related deaths, breast cancer often affects elderly British women yielding the highest survival of all registered malignancies in the UK. Objective: To compare the clinical and pathological profiles of breast cancer among Iraqi and British women; correlating age at diagnosis with the tumor characteristics, receptor-defined biomarkers and phenotype patterns. Methods: This comparative retrospective study included the clinical and pathological characteristics of (1,940) consecutive female patients who were diagnosed with invasive b
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