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Miscellaneous Azo Dyes: A Review on Recent Advancements and Applications
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The dyes Azo have a lengthy history and are a vital part of our daily lives. There are numerous potentials uses for these substances and their derivatives in various industries and environmental and biological research. In this study conversion of various azo compounds into other derivatives, complexes, and polymers was accomplished. This review included examining the chemistry reactions, synthesis, and applications of azo dye ligands and their complexes, mentioned spectral, analytical, thermal, and morphology methods of investigation, and confirmed by mass fragment mechanisms for some azo dyes and metal complexes. One of the aims of this review is to explain the role of these azo dye derivatives and the effect of metal complexes on leather which exhibits high light fastness, wash fastness, and rubbing fastness. The interaction of DNA has also been achieved. New metal complexes (Co (II), Ni (II), Cu (II), and Zn (II) azo ligands derived from 4-amino antipyrine and 4-aminoacetophenone are reported. The nature of the compounds has been studied followed by methods of continuous contrast, Beer's law, and molar ratio.  Analytical methods and spectra revealed the octahedral geometry of the complexes. The azo dye ligand and its metal (II) complexes possess appreciable microbial activities. Novel heterocyclic compounds and its complexes have been investigated. The relationship between the HOMO-LUMO gap and antibacterial activity was investigated computationally. Improved understanding of binding mechanisms was shown by the comparative molecular docking investigations. This review demonstrated the utilization of the polycrystalline Zn (II) metal complex as a sensitizer in organic dye-sensitized solar cells. Quinolinyl-azo-naphthol (HL) is a selective turn-on chemosensor for Al3+ in the presence of other ions, exhibiting a 750-fold rise in emission at 612 nm following activation at visible light (537 nm). The reported limit of detection (LOD) for the 3σ technique is 0.69 nM.  During this review it was proven that the effective production of palladium nanoparticles with guar gum as a stabilizer and their use as a catalyst in reduction processes and azo dye degradation. The investigation describing and assessing thiazolyl azo ligand complexes with specific metal ions has been presented.( Zn (II), Cu (II), Co (II), and Ni (II) ) complexes with azo ligands generated from metoclopramide hydrochloride were examined for their industrial and biological applications in cotton fabric dyeing, as well as for light and cleaner firmness. Additionally, the evaluation of the ligand and their complexes' antimicrobial and antifungal capabilities revealed that the ZnL molecule had the strongest antibacterial activity. The application characteristics of thiophene-derived dispersion dyes complexed with Zn, Cu, and Co metal on (polyester and Nylon 6.6), showed good to excellent light fastness, good to excellent wash fastness, excellent fastness to perspiration and sublimation, and good levelness on both materials with varying shades of brown and violet. The azo benzoic acid ligand derived from 2,4-dimethylphenol and 4-aminobenzoic acid has been identified by several spectroscopic methods and has been used as dispersion dyes on cotton textiles to test the antibacterial properties of the chemicals generated against a range of bacteria and fungus. Each primed complex has been proposed to have a tetrahedral geometrical structure for the obtained datum. There have been reports on the use of azo dyes in combination with nickel and its uses in dye-sensitized solar cells. Ten complexes of metals including Zn (II), Cu (II), Cd (II), Ni (II), and Co (II) as well as Phloroglucinol and antipyrine were used to create two unique azo-colorants, which were isolated and examined using a variety of techniques, wool, polyamide, and poly acetate fibers exhibit coloristic activity toward H3L1 and H3L2 as well as their metal complexes, demonstrating their strong resistance to UV radiation. Both in static and dynamic settings, the H3L2 compound exhibited a good sorption activity towards heavy metal cations from aqueous solutions of trace concentrations. A particular combination of selected transition metal ions is complexed with the azo compound, which is obtained from the (2-hydroxy quinoline: synthesis, characterization, thermal analysis, and antioxidant activity). These compounds' reactive oxygen entity degradation was evaluated with the DPPH radical and subsequently compared to gallic acid, a standard naturally occurring antioxidant. Finally, this review explains the metal chelates of the azo dye derivative sulfafurazole through synthesis, structure confirmation, molecular docking simulation, antibacterial, anticancer, and application in bioinorganic chemistry.  

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Publication Date
Fri Nov 01 2013
Journal Name
Isesco Journal Of Science And Technology
Effect of Solvents on the Dipole Moments and Fluorescence Quantum Yield of Rhodamine Dyes
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Abstract: This study aims to investigate the effects of solvents of various polarities on the electronic absorption and fluorescence spectra of RhB and Rh6G. The singlet‐state excited dipole moments (me) and ground state dipole moments (mg) were estimated from the equations of Bakshiev -Kawski and Chamma‐ Viallet using the variation of Stokes shift along with the solvent’s dielectric constant (e) and refractive indexes (n). The observed singlet‐state excited dipole moments were found to be larger than the ground‐state ones. Moreover, the obtained fluorescence quantum yield values were influenced by the environment of the fluorescing molecule. Consequently, the concentration of the dye solution, excited singlet state absorption and

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Publication Date
Wed Jan 01 2025
Journal Name
Jourenal Of Food Science And Technology (iran)
The role of NLRP3 Inflammsome in Cardiovascular Disease progression: Integrating food science and technology for therapeutic advancements
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Publication Date
Wed Mar 29 2023
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
A Review on Models for Evaluating Rock Petrophysical Properties
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The evaluation of subsurface formations as applied to oil well drilling started around 50 years ago. Generally, the curent review articule includes all methods for coring, logging, testing, and sampling. Also the methods for deciphering logs and laboratory tests that are relevant to assessing formations beneath the surface, including a look at the fluids they contain are discussed. Casing is occasionally set in order to more precisely evaluate the formations; as a result, this procedure is also taken into account while evaluating the formations. The petrophysics of reservoir rocks is the branch of science interested in studying chemical and physical properties of permeable media and the components of reservoir rocks which are associated

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Publication Date
Tue Mar 30 2010
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Removal of dyes from polluted water by adsorption on maize cob
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This research aimed to examine the effect of concentration of dyes stuff, contact time, temperature and ratio of adsorbent weight in (gm) to volume of solution in (ml) on the percentage removal. Two dyes were used; direct blue 6 and direct yellow and the adsorbent was the maize cob. Batch experiments were performed by contacting different weights of adsorbent with 50 ml of solution of desired concentration with continuous stirring at various temperatures. The percentage of removal was calculated and the maximum percentage of removal was 80%. And as the concentration of solution, contact time, temperature and the ratio of adsorbent to volume of solution increase the percentage of removal increase.

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Publication Date
Thu Jan 26 2017
Journal Name
Separation Science And Technology
Schiff bases and their complexes: Recent progress in thermal analysis
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Schiff bases are versatile compounds synthesized from the condensation of primary amino compounds with aldehydes or ketones. The high thermal of many Schiff base and their complexes were useful attributes for their application as catalysts in reactions involving at high temperatures. This thermal behavior of Schiff bases and their complexes was evaluated by TGA/DTG and DTA curves with 10 mass losses related to dehydration and decomposition. This review summarizes the developments in the last decade for thermal analysis of Schiff bases. Therefore, synthesis of Schiff bases and their complexes are reviewe

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Publication Date
Fri Jan 31 2025
Journal Name
Passer Journal Of Basic And Applied Sciences
Enhanced Security Taxonomy for Fog-Enabled VANETs: A Comprehensive Survey on Attacks, Challenges, Applications and Architectures
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Vehicular Ad Hoc Networks (VANETs) are integral to Intelligent Transportation Systems (ITS), enabling real-time communication between vehicles and infrastructure to enhance traffic flow, road safety, and passenger experience. However, the open and dynamic nature of VANETs presents significant privacy and security challenges, including data eavesdropping, message manipulation, and unauthorized access. This study addresses these concerns by leveraging advancements in Fog Computing (FC), which offers lowlatency, distributed data processing near-end devices to enhance the resilience and security of VANET communications. The paper comprehensively analyzes the security frameworks for fog-enabled VANETs, introducing a novel taxonomy that c

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Publication Date
Wed Aug 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
A Study on Transportation Models in Their Minimum and Maximum Values with Applications of Real Data
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The purpose of this paper is to apply different transportation models in their minimum and maximum values by finding starting basic feasible solution and finding the optimal solution. The requirements of transportation models were presented with one of their applications in the case of minimizing the objective function, which was conducted by the researcher as real data, which took place one month in 2015, in one of the poultry farms for the production of eggs

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Publication Date
Fri Apr 14 2023
Journal Name
Journal Of Big Data
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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Abstract<p>Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for</p> ... Show More
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Publication Date
Thu Mar 30 2023
Journal Name
Iraqi Journal Of Computer, Communication, Control And System Engineering
Data Analytics and Blockchain: A Review
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Blockchain technology relies on cryptographic techniques that provide various advantages, such as trustworthiness, collaboration, organization, identification, integrity, and transparency. Meanwhile, data analytics refers to the process of utilizing techniques to analyze big data and comprehend the relationships between data points to draw meaningful conclusions. The field of data analytics in Blockchain is relatively new, and few studies have been conducted to examine the challenges involved in Blockchain data analytics. This article presents a systematic analysis of how data analytics affects Blockchain performance, with the aim of investigating the current state of Blockchain-based data analytics techniques in research fields and

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Publication Date
Sat Jul 06 2024
Journal Name
Multimedia Tools And Applications
Text classification based on optimization feature selection methods: a review and future directions
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A substantial portion of today’s multimedia data exists in the form of unstructured text. However, the unstructured nature of text poses a significant task in meeting users’ information requirements. Text classification (TC) has been extensively employed in text mining to facilitate multimedia data processing. However, accurately categorizing texts becomes challenging due to the increasing presence of non-informative features within the corpus. Several reviews on TC, encompassing various feature selection (FS) approaches to eliminate non-informative features, have been previously published. However, these reviews do not adequately cover the recently explored approaches to TC problem-solving utilizing FS, such as optimization techniques.

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