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Antibacterial activity of thuja orientalis and green tea in pseudomonas areogenosa infection
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Seven isolates were identified as Pseduomonas aeruginosa from clinical samples. Antibiotic sensitivity test were done to determine their sensitivity to number of antibiotics, the results illustrated all that isolates were resistant to most used antibiotics. The ability of Pseduomonas isolates to produce haemolysin, protease and pyocyanin were detected in this study, all isolates had the ability to produce pyocyanin pigment, hemolysis and protease. The antimicrobial activity of the ethanolic extracts of Thuja orientalis and green tea against P.aeruginosa were investigated. The results showed that both these plant extracts have inhibitory effect against Pseduomonas isolates and it was shown that ethanolic extract of green tea was more efficient against P. aeruginosa isolated from eye infection while ethanolic extracts of Thuja orientalis was more effective against P. aeruginosa isolated from wound infection. Minimum inhibitory concentration (MIC) of ethanolic extract of Thuja orientalis be resoluted, it was 10 mg/ml. The effect of ethanolic extract of Thuja orientalis on the production of haemolysin, protease and pyocyanin was detected, the ethanolic extract of Thuja orientalis at MIC (10 mg/ml) completely inhibited Pseudomonas growth and haemolysis on blood agar, also inhibited protease and pyocyanin production. The ethanolic extracts of Thuja orientalis at sub MIC (5 mg/ml) had the ability to inhibit haemolysin production on blood agar. It also inhibited production of pyocyanin on nutrients agar and had effect on protease production. The minimum inhibitory concentration (MIC) of ethanolic extracts of the green tea was 100mg/ml and there was a significant induction of Protease IV expression in the groups treated with ethanolic extracts of the green tea in comparison with gentamicin and the highest induction in expression of Protease IV gene was at Sub MIC of gentamicin.

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Publication Date
Wed Apr 01 2020
Journal Name
Plant Archives
Monitoring of green gram [Vigna radiata (L.)] pests at Baghdad in Iraq
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Publication Date
Sun Sep 01 2024
Journal Name
Green Analytical Chemistry
Green methods for determination of paracetamol in drug samples: A comparative study
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Publication Date
Sat Sep 30 2023
Journal Name
Iraqi Journal Of Science
Study on tssC1 Gene Mediating Biofilm Antibiotics Resistance of Pseudomonas aeruginosa
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P. aeruginosa is a famous bacterium that causes several diseases and has a high ability to be a multidrug resistant organism that is linked with the formation of biofilm. This study aimed to investigate tssC1 gene role in the resistance of different antibiotics in the presence of biofilm. We constructed biofilm for the isolates under the study and showed the effect of different antibiotics on biofilm formation and maturation. The presence of the gene was detected through achieving PCR reaction. Finally, tssC1 gene variation was determined through sequencing and aligning the sequencing products. The results showed that most of the isolates (80%) formed biofilm that played a role in the resistance of different antibiotics which could

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Publication Date
Sat Jan 01 2011
Journal Name
North American Journal Of Medical Sciences
Antagonistic effect of bacteriocin against urinary catheter associated Pseudomonas aeruginosa biofilm
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Publication Date
Sat Apr 04 2020
Journal Name
Biochemical And Cellular Archives
SYNTHESIS, CHARACTERIZATION AND EVALUATION OF ANTIOXIDANT IN-VIVO AND IN-VITRO AND ANTIBACTERIAL FOR N-(3,4- DIHYDROXYBENZYLIDENE) ACETOHYDRAZONE-2-(BENZYLTHIO) BENZIMIDAZOLE
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Publication Date
Tue Aug 08 2023
Journal Name
Pharmaceutical Sciences Asia
Sub-inhibitory doses of Ofloxacin reduce adhesion and biofilm formation of Pseudomonas aeruginosa to biotic and abiotic surfaces
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Publication Date
Thu Feb 01 2024
Journal Name
Doklady Chemistry
Synthesis, Characterization, and Biological Evaluation of New Cyclic Quinazoline Derivatives as Potential Antibacterial and Antifungal Agents
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Heterocyclic compounds are crucial for medicinal chemistry and the development of therapeutic agents like broad-spectrum antibiotics. This study devised a facile procedure to synthesize novel antimicrobial bicyclic heterocycles from 2-mercapto-3-phenylquinazolin-4(3H)-one. Advanced analytical techniques including 1 H and 13C NMR, elemental analysis, and FT-IR spectroscopy characterized the intricate chemical structures of the products. In vitro assays tested the heterocycles against aerobic and anaerobic bacterial strains using fluconazole and ciprofloxacin as antifungal and antibacterial controls. Results demonstrated the formidable broad-spectrum antibacterial and antifungal activities of the synthesized compounds, with growth inhibition

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Publication Date
Fri Nov 09 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Antibacterial Effect of Mastic Gum on Aerobic Oral Bacteria
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Objective: To evaluate the antibacterial effect of mastic gum against the most common aerobic oral bacteria and
emphasized on oral streptococci.
Methodology: In this study 10 persons (males and females of 18-60 years old) were randomly assigned to chew
mastic gum (1.5 gm for 45 minutes). Mouth washes were collected before and after gum chewing .The two mouth
washes were diluted (10-1 – 10-6) and cultivated aerobically for 24 hours at 37C0 on BHI agar for total bacterial
count and on MSF agar for counting the oral streptococci.
Results: The results showed that the total bacterial count for staphylococci, Neisseria and oral streptococci on BHI
agar and MSF agar for oral streptococci after mastic chewing were highly r

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Publication Date
Sun Mar 30 2025
Journal Name
Studia Universitatis BabeČ™-bolyai Chemia
GREEN SPECTROPHOTOMETRIC METHOD FOR CONCURRENT ESTIMATION OF PIROXICAM AND MEFENAMIC ACID MIXTURE
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The purpose of this work is to concurrently estimate the UVvisible spectra of binary combinations of piroxicam and mefenamic acid using the chemometric approach. To create the model, spectral data from 73 samples (with wavelengths between 200 and 400 nm) were employed. A two-layer artificial neural network model was created, with two neurons in the output layer and fourteen neurons in the hidden layer. The model was trained to simulate the concentrations and spectra of piroxicam and mefenamic acid. For piroxicam and mefenamic acid, respectively, the Levenberg-Marquardt algorithm with feed-forward back-propagation learning produced root mean square errors of prediction of 0.1679 μg/mL and 0.1154 μg/mL, with coefficients of determination of

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Publication Date
Sun Jul 27 2025
Journal Name
Journal Of Engineering
Design and Implementation of ICT-Based Recycle-Rewarding System for Green Environment
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