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SYNTHESIS, CHARACTERIZATION AND SCREENING OF ANTIMICROBIAL ACTIVITY FOR SOME NEW SCHIFF BASES AND THIAZOLIDINONE DERIVATIVES DERIVED FROM AROMATIC CARBOXYLIC ACID
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In this study, the antimicrobial properties of newly synthesized Schiff bases (4a-4e) and thiazolidinone compounds (5a-5e) generated from 3,5-dinitrobenzoic acid were assessed. These compounds were obtained by reacting 3,5-dinitrobenzoic acid (1) with ethanol in a few drops of concentrated H2SO4 to produce the ester (2). The acid hydrazide (3), which was produced by treating the ester with hydrazine hydrate, reacted with the proper aldehydes, including 4-bromobenzaldehyde, 4-chlorobenzaldehyde, 4-hydroxybenzaldehyde, 4-methoxybenzaldehyde, and 4-hydroxy-3-methoxybenzaldehyde, respectively, to form Schiff bases (4a-4e). The thiazolidinone compounds (5a-5e) were produced by the cyclocondensation reaction of compounds (4a-4e) with thioglycolic acid. A variety of techniques, including mass spectroscopy, 1H NMR, 13C NMR, and FT-IR, were employed to find novel compounds, which exhibited mild antibacterial activity against four kinds of bacteria according to the biological results. The effectiveness of the thiazolidinone derivatives against Candida albicans was mediocre. The compounds showed stretching absorption bands at 1625-1639 cm-1, belonging to azomethine groups, and the amine-induced loss of absorption bands at 3392, 3311 cm-1. Schiff bases exhibited singlet signals at δ (8.33-8.87) ppm for azomethine groups and signals at 150.67-150.75 ppm for carbon by 1H NMR and 13C NMR. Thiazolidinone compounds showed stretching absorption bands at 1701-1708 cm-1 due to the lactam ring carbonyl group. The signals at (170.99-171.19) ppm are affording to the carbon carbonyl group of the lactam ring for thiazolidinone compounds. For citation: Abbas Z.M., Rumez R.M. Synthesis, Characterization and screening of antimicrobial activity for some new Schiff bases and thiazolidinone derivatives derived from aromatic carboxylic acid. ChemChemTech [Izv. Vyssh. Uchebn. Zaved. Khim. Khim. Tekhnol.]. 2025. V. 68. N 7. P. 27-34. DOI: 10.6060/ivkkt.20256807.7189.

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A Neuro-Fuzzy Technique for the Modeling of β-Glucosidase Activity from Agaricus bisporus
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This paper proposes a neuro-fuzzy system to model β-glucosidase activity based on the reaction’s pH level and temperature. The developed fuzzy inference system includes two input variables (pH level and temperature) and one output (enzyme activity). The multi-input fuzzy inference system was developed in two stages: first, developing a single input-single output fuzzy inference system for each input variable (pH, temperature) separately, using the robust adaptive network-based fuzzy inference system (ANFIS) approach. The neural network learning techniques were used to tune the membership functions based on previously published experimental data for β-glucosidase. Second, each input’s optimized membership functions from the ANF

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Publication Date
Wed Apr 19 2017
Journal Name
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Separation and determination of poly aromatic hydrocarbons in vegetables samples in Baghdad city using HPLC Technique
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The Reversed Phase High Performance Liquid Chromatography (RP-HPLC) has been used for the separation of Poly aromatic hydrocarbons(PAHs) by using column Reprosil 100 C 18 which was found to be a suitable one for this purpose. The result showed that using mobile phase of (Acetonitrile-water) Reversed Phase HPLC , flow rate of (1.2 ml/min) , column temperature (30CËš) and wave length of (254nm), give a complete separation with a good resolution . The total separation time was less than 20 min. The result of the study showed that the vegetables of Baghdad city were polluted by poly aromatic hydrocarbons(PAHs) in different places where samples taken because of drainage of the heavy water ,industrial trash and trash of oil colanders. -

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