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1,206 result(s) for "Congo Red"
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Islet amyloid polypeptide aggregation exerts cytotoxic and proinflammatory effects on the islet vasculature in mice
Aims/hypothesisThe islet vasculature, including its constituent islet endothelial cells, is a key contributor to the microenvironment necessary for normal beta cell health and function. In type 2 diabetes, islet amyloid polypeptide (IAPP) aggregates, forming amyloid deposits that accumulate between beta cells and islet capillaries. This process is known to be toxic to beta cells but its impact on the islet vasculature has not previously been studied. Here, we report the first characterisation of the effects of IAPP aggregation on islet endothelial cells/capillaries using cell-based and animal models.MethodsPrimary and immortalised islet endothelial cells were treated with amyloidogenic human IAPP (hIAPP) alone or in the presence of the amyloid blocker Congo Red or the Toll-like receptor (TLR) 2/4 antagonist OxPAPc. Cell viability was determined0 along with mRNA and protein levels of inflammatory markers. Islet capillary abundance, morphology and pericyte coverage were determined in pancreases from transgenic mice with beta cell expression of hIAPP using conventional and confocal microscopy.ResultsAggregated hIAPP decreased endothelial cell viability in immortalised and primary islet endothelial cells (by 78% and 60%, respectively) and significantly increased expression of inflammatory markers Il6, Vcam1 and Edn1 mRNA relative to vehicle treatment in both cell types (p<0.05; n=4). Both cytotoxicity and the proinflammatory response were ameliorated by Congo Red (p<0.05; n=4); whereas TLR2/4-inhibition blocked inflammatory gene expression (p<0.05; n=6) without improving viability. Islets from high-fat-diet-fed amyloid-laden hIAPP transgenic mice also exhibited significantly increased expression of most markers of endothelial inflammation (p<0.05; n=5) along with decreased capillary density compared with non-transgenic littermates fed the same diet (p<0.01). Moreover, a 16% increase in capillary diameter was observed in amyloid-adjacent capillaries (p<0.01), accompanied by a doubling in pericyte structures positive for neuron-glial antigen 2 (p<0.001).Conclusions/interpretationIslet endothelial cells are susceptible to hIAPP-induced cytotoxicity and exhibit a TLR2/4-dependent proinflammatory response to aggregated hIAPP. Additionally, we observed amyloid-selective effects that decreased islet capillary density, accompanied by increased capillary diameter and increased pericyte number. Together, these data demonstrate that the islet vasculature is a target of the cytotoxic and proinflammatory effects of aggregated hIAPP that likely contribute to the detrimental effects of hIAPP aggregation on beta cell function and survival in type 2 diabetes.
Adsorptive removal of Congo red dye from industrial effluent using cotton calyx iron oxide (CC-Fe3O4) composite
Environmental pollution is an emerging issue in the areas of South Asia and the burning of crop residues is one of the major contributors to smog/pollutants production. In recent work, the residues of cotton crop, i.e., cotton calyx (CC), have been converted into a valuable and eco-friendly adsorbent at zero cost for the refining of polluted waters. Furthermore, cotton calyx composite was synthesized with iron oxide (CC-Fe 3 O 4 ) to improve its sorption potential for the mitigation of selected pollutants, i.e., Congo red (CR) dye. By using FTIR, SEM, TGA, and XRD, the newly synthesized biosorbents were characterized. SEM–EDX and FTIR analyses revealed that both biosorbents (CC and CC-Fe 3 O 4 ) have a porous surface along with various functional groups, which is an indication of an ideal adsorbent for the sorptive removal of pollutants like dyes. The effect of the operating parameters (dye concentration, adsorbent dosage, temperature, contact time, and pH of the dye solution) on the sorption efficacy was studied to identify optimal conditions. The highest percentage of CR removal (99%) was achieved in an acidic medium using 0.6 g CC-Fe 3 O 4 composite in 60 min at 20 °C. Isothermal modeling of the parameter’s optimization data proved that the Langmuir model ( R  = 0.97–0.99) is more able to explain the sorption process than Freundlich indicates the monolayer sorption process. Adsorption kinetics professed that pseudo-second-order rate law effectively represented the ongoing adsorption system. The thermodynamic studies revealed that the sorption process was spontaneous at room temperature as ∆ H ° was negative. The maximal sorption capacity among the sorbents is 20.66 mg g −1 for CC-Fe 3 O 4 composite, which is higher than CC. In conclusion, CC-Fe 3 O 4 composite proved an efficient biosorbent for the mitigation of CR dye from wastewater. Graphical Abstract
Adsorptive amputation of hazardous azo dye Congo red from wastewater: a critical review
Increasing amount of dyes in an ecosystem has propelled the search of various methods for dye removal. Amongst all the methods, adsorption occupies a prominent place in dye removal. Keeping this in mind, many adsorbents used for the removal of hazardous anionic azo dye Congo red (CR) from aqueous medium were reviewed by the authors. The main objectives behind this review article are to assemble the information on scattered adsorbents and enlighten the wide range of potentially effective adsorbents for CR removal. Thus, CR sorption by various adsorbents such as activated carbon, non-conventional low-cost materials, nanomaterials, composites and nanocomposites are surveyed and critically reviewed as well as their sorption capacities are also compared. This review also explores the grey areas of the adsorption performance of various adsorbents with reference to the effects of pH, contact time, initial dye concentration and adsorbent dosage. The equilibrium adsorption isotherm, kinetic and thermodynamic data of different adsorbents used for CR removal were also analysed. It is evident from a literature survey of more than 290 published papers that nanoparticle and nanocomposite adsorbents have demonstrated outstanding adsorption capabilities for CR. Graphical abstract ᅟ
The Biochar Derived from Pecan Shells for the Removal of Congo Red: The Effects of Temperature and Heating Rate
Organic pollutants, especially dyes, are seriously hazardous to the aquatic system and humans due to their toxicity, and carcinogenic or mutagenic properties. In this study, a biochar prepared from agricultural waste (pecan shells) via pyrolysis was applied to remove the dye pollutant Congo Red from wastewater to avoid a negative effect to the ecosystem. This study also investigated the effect of preparation conditions (temperature and heating rate) on the physicochemical properties and the adsorption performance of biochars. The physicochemical properties of the biochar were characterized using scanning electron microscopy, X-ray powder diffraction, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy. The adsorption performance of the biochar was evaluated for Congo Red removal. The results showed that biochar prepared at 800 °C with a heating rate of 20 °C/min (PSC-800-20) exhibited a higher specific surface area of 450.23 m2/g and a higher adsorption capacity for Congo Red (130.48 mg/g). Furthermore, adsorption experiments indicated that the pseudo-second-order and Langmuir models fitted well with the adsorption kinetics and isotherms of the biochar derived from pecan shells, respectively. Additionally, the PSC-800-20 biochar demonstrated a stable adsorption capacity over multiple cycles, suggesting its potential for regeneration and reuse in wastewater treatment applications. Therefore, the biochar derived from agricultural waste presents a promising and sustainable solution for the removal of toxic dye pollutants from wastewater.
Sorghum husks as potential low cost adsorbent for Congo red adsorption
The increasing release of synthetic dyes in industrial effluents poses major environmental challenges. This study evaluated raw (SHR) and 0.1 M H 3 PO 4 acid-treated (SHT) sorghum husks as low-cost adsorbents for removing Congo Red (CR) from aqueous solutions. SHT achieved a maximum removal efficiency of 85.26% at 40 mg dosage and pH 2, outperforming SHR (76.17% at pH 3 and dosage of 45 mg). Langmuir isotherm analysis demonstrated higher adsorption capacity for SHT (77.14 mg/g) compared to SHR (57.55 mg/g), inferring improved monolayer coverage after treatment. Kinetic modeling indicated that SHR followed a pseudo-first-order model, while SHT was better explained by a pseudo-second-order model, indicating chemisorption as the dominant mechanism. Thermodynamic results confirmed spontaneous and endothermic adsorption with positive enthalpy change (ΔH) values of 13.52 kJ/mol for SHR and 25.26 kJ/mol for SHT at 40 °C. Regeneration studies demonstrated that SHT retained over 65% desorption efficiency after six cycles, highlighting good reusability. FTIR revealed that Congo Red sorption onto treated sorghum husk is governed by hydrogen bonding, π–π stacking interactions, and possibly electrostatic attractions involving functional groups like hydroxyls, amines, and aromatic rings. These findings indicate that acid-treated sorghum husk is an effective, sustainable, and economical alternative to commercial adsorbents for azo dye removal in wastewater treatment.
Optimization of Congo red dye adsorption from wastewater by a modified commercial zeolite catalyst using response surface modeling approach
In the present work, Zeolite A was modified by using hexadecyltrimethylammonium bromide (HDTMABr) for adsorption of the Congo red (CR) dye from synthetic aqueous solutions. The Modified Zeolite A (MZA) was characterized by XRD, SEM, and FTIR. The influence of solution pH (in the 4–12 range), ionic strength (0.1–1 M), contact time (180 min), initial CR concentration (20–60 mg/L), temperature (24–36 °C), and an adsorbent dose (1–3 g m/L) on the % dye removal and adsorbent capacity were studied. A combined effect of the initial CR concentration and temperature on the CR removal % by MZA was also studied by applying response surface methodology (RSM). Experimental values were in a good agreement with those predicated by a second-order quartic model. A maximum of 99.24% dye removal and adsorbent capacity of 21.11 mg/g was achieved under the following conditions: pH = 7, initial CR concentration = 60 mg/L, temperature = 24 °C, ionic strength = 0.1 M, adsorbent dose = 3 g/L and 90 min contact time. The equilibrium data were subjected to the Langmuir, Freundlich and Temkin isotherms, with the latter providing the best fit while kinetic adsorption studies were conducted by applying three models. The results indicated that the removal process was best described by the pseudo-second-order model. The present study demonstrates that modified MZA can be utilized for the highly efficient CR dye removal.
Interaction of Avapritinib with Congo Red in Pancreatic Cancer Cells: Molecular Modeling and Biophysical Studies
Pancreatic cancer is a malignant tumor with one of the worst prognoses among solid tumors, characterized by resistance to treatment. Therefore, there is an urgent need for new methods of targeted therapy. Previous studies have shown that the overexpression of receptor tyrosine kinases such as c-KIT or PDGFR can increase proliferation, migration, and invasion of cancer cells. The aim of our study was to analyze aggregates between a supramolecular carrier (Congo red, CR) and a tyrosine kinase inhibitor (BLU-258) as well as to investigate the effect of the free inhibitor and its aggregate with Congo red (CR-BLU-258) on selected properties of pancreatic cells, including these cells’ viability and three-dimensional cell spheroid cultures. To better understand the interactions between Congo red and BLU-258, we used molecular modeling in addition to biophysical methods. These attempts allowed us to determine the optimal molar ratio, which we used for in vitro studies on pancreatic cancer cell lines. A significantly greater decrease in the viability of the tested 3D cultures was observed after 48 h of incubation with CR-BLU-258, which resulted in a lower IC50 value for the tested co-aggregate compared with BLU-258 alone. Moreover, a higher resistance of PANC-1 and BxPC3 spheroid cells to the tested compounds was noted compared with the 2D culture model. A significantly lower response was observed in 3D cell cultures (BxPC3 and PANC-1) treated with BLU-258 alone compared with the 2D culture. Thus, our results showed that both BLU-258 (alone) and in its co-aggregate with Congo red exhibit anticancer activity, inhibiting the growth of pancreatic cancer cells and reducing their viability, survival, and migration. Both tested compounds also affected the phosphorylation of the selected signaling proteins. We conclude that the selected tyrosine kinase inhibitor (alone) and in its co-aggregate with Congo red exhibit anticancer activity and should be considered as a novel effective therapy against pancreatic cancer.
Crystal structure of the plasmid-encoded R67 dihydrofolate reductase complexed with Congo red an amyloid binding dye
Plasmid-encoded bacterial R67 dihydrofolate reductase (DHFR) catalyzes the same reaction as the chromosomal counterpart but is highly resistant to the widely used antibiotic Trimethoprim (TMP) unlike the chromosomal enzyme. The structure of Q67H mutant of R67 DHFR complexed with a non-specific inhibitor Congo red (CGR) has been determined at 1.15 Å resolution. In the F o - F c map, one of the two naphthalene moieties in CGR is clearly observed, however, the biphenyl linker and the other naphthalene moiety are not seen owing to flexibility. CGR does not utilize its twofold axis to align with any of the three crystallographic twofold axes of the tetrameric protein instead, it binds like the asymmetrical folate and NADP + at any one of the four symmetry-related positions in the active site pore. The naphthalene moiety with exocyclic sulphonate ion and amino group, interacts with residues 66–68 from all four protomers via metal-based ionic, van der Waals, stacking, and hydrogen bonding interactions. Preliminary modeling studies suggest variant fragments of CGR targeting one or both Lys32 residues at the site of enlarging pore may yield specific and potent inhibitors. Based on the CGR – protein interactions in the present work, we propose a putative model for the binding of CGR to cross-β amyloid.
Sorption Behavior of Azo Dye Congo Red onto Activated Biochar from Haematoxylum campechianum Waste: Gradient Boosting Machine Learning-Assisted Bayesian Optimization for Improved Adsorption Process
This work aimed to describe the adsorption behavior of Congo red (CR) onto activated biochar material prepared from Haematoxylum campechianum waste (ABHC). The carbon precursor was soaked with phosphoric acid, followed by pyrolysis to convert the precursor into activated biochar. The surface morphology of the adsorbent (before and after dye adsorption) was characterized by scanning electron microscopy (SEM/EDS), BET method, X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) and, lastly, pHpzc was also determined. Batch studies were carried out in the following intervals of pH = 4–10, temperature = 300.15–330.15 K, the dose of adsorbent = 1–10 g/L, and isotherms evaluated the adsorption process to determine the maximum adsorption capacity (Qmax, mg/g). Kinetic studies were performed starting from two different initial concentrations (25 and 50 mg/L) and at a maximum contact time of 48 h. The reusability potential of activated biochar was evaluated by adsorption–desorption cycles. The maximum adsorption capacity obtained with the Langmuir adsorption isotherm model was 114.8 mg/g at 300.15 K, pH = 5.4, and a dose of activated biochar of 1.0 g/L. This study also highlights the application of advanced machine learning techniques to optimize a chemical removal process. Leveraging a comprehensive dataset, a Gradient Boosting regression model was developed and fine-tuned using Bayesian optimization within a Python programming environment. The optimization algorithm efficiently navigated the input space to maximize the removal percentage, resulting in a predicted efficiency of approximately 90.47% under optimal conditions. These findings offer promising insights for enhancing efficiency in similar removal processes, showcasing the potential of machine learning in process optimization and environmental remediation.
Solar radiation–promoted selective photocatalytic degradation of Congo red dye by a novel amorphous Cr-based metal-organic framework serving as sensor for 2,4,6-trinitrophenol explosive detection
Synthesis of novel benzene-1,2,4-tricarboxylic acid-based chromium metal-organic framework (designated as Cr-BTC MOF) by solvothermal method using water:ethanol:dimethylformamide (1:1:2) as solvent media has been undertaken with an aim to exploit its role as photocatalyst in degradation of some anionic dyes along with sensing potential of some explosives. The MOF has been characterized by Fourier transform infra-red, scanning electron microscopy, Brunauer-Emmett Teller and powder X-Ray diffraction techniques and has shown high thermal stability, upto 373 °C. The prepared MOF was utilized as photocatalyst in selective degradation of Congo red (CR) dye. The effects of pH, source of radiation, initiator and concentration of catalyst were monitored and the results have shown that catalyst exhibits maximum efficiency of 93.3% in the presence of sunlight in neutral medium. The stability and reusability of the catalyst, after four cycles of reusability, renders it to be a highly efficient photocatalyst in the treatment of wastewater under the effect of sunlight. Photoluminescence-detection of explosives viz. 2,4,6-trinitrophenol and nitromethane, has been carried out, wherein Stern–Volmer equation was used to assess the quenching efficiency evaluated. The results have shown exceptional efficiency and selectivity of Cr-BTC MOF towards detection of 2,4,6-trinitrophenol ( 94% ). The reusability has shown the synthesized MOF to display excellent recyclability upto 5 cycles. Minimum inhibitory concentration (MIC) method was investigated to establish their antibacterial efficacy against some Gram-positive and Gram-negative strains. The MOF has showed good efficacy towards Bacillus cereus and Staphylococcus aureus , displaying a MIC value of 7.81 µg/mL, and Pseudomonas aeruginosa (15.625 µg/mL) similar to the standard antibacterial drug, chloramphenicol, thereby establishing their biological efficacy. Graphical Abstract