The current study aimed to isolate and diagnose the fungi associated with the inflammatory bowel disease patients with 150 samples distributed between 50 samples from Crohn's patients and 50 samples from ulcerative colitis patients, 50 control from Al-Kindy Al Teaching Hospital in Baghdad, Baghdad. Five types of yeast were isolated and identified, namely C. albicans, C.glabarta, Tropicales, C. parapsilosis, C. and C., krusi C. parapsilosis and.and Aspergillus, Penicillium, Muocer, Rhizopous, Saccharomycosis, and Cryptococcus, The results indicated the dominance of Candida spp. In crohn’s disease, the frequency of isolated Candida albicans was 24 (58.54%), Candida glabrata 11 (26.86%), Candida tropicalis 5 (12.2%) and Candida krusi was 1 (2.44%); the statistical analysis detected a significant differences (<0.001) in the frequency of isolated Candida in this disease and the higher ratio was with Candida albicans On the other hand, the frequency of candida species in Ulcerative colitis patients was as following: Candida albicans 15 (45.45%), Candida glabrata 6 (18.18%), Candida tropicalis 11 (33.3%) and Candida parapsilosis i 1 (3.03%) The results found that there is a significant differences between the ratio of the isolated Candida species and the high frequency was with Candida albicans. They were confirmed by PCR device, The C. albicans showed the ability to form a Grem tube and Chlamydospore formation. Cultivation on the differential medium, chromo agar, showed that the yeast of C. albicans in a light green color, C.tropicalis in a metallic blue, and C.parapsilosis in a creamy white color as the C .krusei was light pink in color, while C.glabrata was pinkish-purple in color. Isolation and diagnosis of these species have been confirmed by the Vitek2 Compact System. Four types of antifungal agents fungi Nystatin Clotrimazole Fluconazole Itraconazole. The results of the PCR using the fungi starter pair (ITS1, ITS4) showed that they produced different molecular sizes ranging from (510-870) bp
Introduction: Melanin is a high-molecular weight pigment produced through the oxidative polymerization of phenolic or indolic compounds and plays a perfect role in UV-light shielding, as well as in photoprotection. Among biopolymers, melanin is unique in many aspects. This study is designed to screen Production, extraction and characterizes of an extracellular melanin pigment from clinically isolated P. aeruginosa. Objective: The aim of the current study is isolation and diagnosis of P.aeruginosa using vitek-2 compact system and screening the ability to produce melanin and characterization of extracted melanin by UV-vis, FTIR, XRD and SEM. Materials and methods: the samples swab inoculated on cetrimide agar as selective media and incubated
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The presence of antibiotic residues such as ciprofloxacin (CIPR) in an aqueous environment is dangerous when their concentrations exceed the allowable. Therefore, eliminating these residues from the wastewater becomes an essential issue to prevent their harm. In this work, the potential of efficient adsorption of ciprofloxacin antibiotics was studied using eco-friendly ZSM-5 nanocrystals‑carbon composite (NZC). An inexpensive effective natural binder made of the sucrose-citric acid mixture was used for preparing NZC. The characterization methods revealed the successful preparation of NZC with a favorable surface area of 103.739 m2/g, and unique morphology and functional groups. Investigating the ability of NZC for adsorbing CIPR antibioti
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Transmission lines are generally subjected to faults, so it is advantageous to determine these faults as quickly as possible. This study uses an Artificial Neural Network technique to locate a fault as soon as it happens on the Doukan-Erbil of 132kv double Transmission lines network. CYME 7.1-Programming/Simulink utilized simulation to model the suggested network. A multilayer perceptron feed-forward artificial neural network with a back propagation learning algorithm is used for the intelligence locator's training, testing, assessment, and validation. Voltages and currents were applied as inputs during the neural network's training. The pre-fault and post-fault values determined the scaled values. The neural network's p
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