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In modern times, many antibiotics have become less effective as microorganisms develop resistance. Besides antibiotic resistance, another bacterial strategy that contributes to the capacity to withstand antimicrobials is biofilm formation. Because of these bacterial survival strategies, the desired response cannot be achieved with conventional treatment. Considering the limited discovery of new compounds, the most logical approach is to reconstruct existing antimicrobial molecules with nano-drug delivery systems. With this scientific approach, the aim of the study is to develop a novel nano-antibiotic hydrogel formulation containing silver nanoparticles, chitosan, and amoxicillin. Endodontic disease was used as a model of biofilm-mediated infection, and the antibacterial activity of nano-antibiotic hydrogel was evaluated with the E. faecalis standard bacterial strain. By adopting the Box-Behnken design for the optimisation of formulation variables, an innovative pharmaceutical formulation with antimicrobial and antibiofilm activity was successfully obtained. Further characterisation studies, including nanoparticle characterisation, in vitro cytotoxicity, and ex vivo activity studies, were carried out on dental samples using the optimised formulation. All results were compared with antimicrobial agents routinely used in endodontic treatment. The findings mainly conclude that the optimised nano-antibiotic hydrogel may be an alternative antimicrobial formulation since it is non-cytotoxic and exhibits high antibiofilm activity.

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This study focuses on optimizing the physical and mechanical properties of foam materials produced with the addition of sodium alginate as the matrix, and cellulose and activated carbon as fillers. Foam materials, valued for their lightweight and insulation properties, are typically produced from synthetic polymers that pose environmental risks. To mitigate these concerns, this study investigates the potential of natural, biodegradable polymers. Various foam formulations were tested to evaluate their density, compression modulus, and thermal conductivity. The results indicated that an increase in activated carbon content enhanced thermal stability, as indicated by higher Ti% and Tmax% values. Additionally, a higher concentration of sodium alginate and activated carbon resulted in higher foam density and compressive modulus, while cellulose exhibited a more intricate role in the material's behavior. In the optimal formula, where the sum of the component percentages totals 7.6%, the percentages (e.g., 0.5% sodium alginate, 5% cellulose, and 2.1% activated carbon) are calculated based on the weight/volume (w/v) ratio of each component in the water used to prepare the foam mixture. These results indicate that natural and biodegradable polymers can be used to develop high-performance, eco-friendly foam materials.

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In this study, utilized algae activated with citric acid and lime juice to develop a novel bioadsorbent, The Algae@CS/Alginate beads were formed by encapsulating the activated algae with chitosan and alginate, producing a nanocomposite that is efficient in removing Basic Fuchsin (BF) dye from water. The beads were characterized by means of a diversity of techniques, such as FTIR, XRD, XPS, SEM and determination the surface area via N2 adsorption/desorption isotherm that permitted that the adsorbent has high surface area 124.43 m2/g. The electrical properties of the BF, including its structure and reactivity, were determined by density functional theory (DFT). The MEP data and the molecular orbitals (HOMO and LUMO), as well as the sites of the electrophilic besides nucleophilic attack places, correspond fairly well, according to DFT. The adsorption process was fitted to Langmuir isothermally, and kinetically to pseudo-second-order (PSOE) model. The adsorption mechanism was identified as chemisorption with an adsorption energy of 32.6 kJ/mol. Thermodynamic research shows that the BF adsorption process by Algae@CS/Alginate beads is spontaneous and endothermic because of the positive ΔHo and negative ΔGo. Through numerical optimization of the programmed, the ideal conditions for adsorption were strongminded to be a pH of 8, a dosage of 0.02 g/25 mL for Algae@CS/Alginate beads, and a concentration of 367.27 mg/g of BF. Using the least amount of intended experiments, the adsorption procedure was optimized by the request of Box-Behnken design (BBD) and answer surface methodology (RSM) in Design-Expert software. Adsorbent reusability test results showed that, following eight successive cycles of adsorption and desorption, the adsorbent was stable and that removal efficacy had not decreased. It additionally demonstrated good efficacy, no alteration in chemical conformation, and the same XRD and FTIR data before and after recycle. Analyze the interaction between the Algae@CS/Alginate beads and the BF.

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A novel and selective (deep eutectic solvent) DES-based microextraction method was established for the first time, utilizing a synthesized new generation High-Density Type-V DES for monitoring the dye Erythrosine (E127) in various foodstuffs and drugs. Type-V DES was created from acetophenone and diphenylamine at 3:1 M ratio. The pH, DES amount, and vortex time were optimized using Box-Behnken Design (BBD) of Response Surface Methodology (RSM). The quadratic microextraction model with R2 = 0.9982 was obtained. The limit of detection, preconcentration factor and linear dynamic range were determined to be 12 µg/L, 50 and 41-4000 µg/L, respectively. Effects of matrix components were examined. The developed High-Density Type-V Deep Eutectic Solvent Microextraction (HD-V-DES-ME) method was applied to foodstuffs and drugs to monitor their E127 contents and subsequently validated by applying spiked tests to real samples, with recoveries ranging between 94 and 101 %. The indexes of environmental friendliness and practicality for the method were evaluated using the Analytical GREEnness metric approach tool (AGREE) and the Blue Applicability Grade Index tool (BAGI), respectively.

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Arsenic contamination in aqueous media is a serious environmental problem, especially in developing countries. In this research, the Box-Behnken response surface methodology was used to optimize the most relevant variables affecting arsenic adsorption on the ZnO-halloysite surface, including temperature, adsorbent dosage, pH, contact time, and As (III) initial concentration. The regression analysis indicated that the experimental data were appropriately fitted to a quadratic model with the adjusted R-squared value (R2) of 0.982 for As(III) adsorption capacity and a linear model with R2 of 0.931 for As(III) removal. The p-values for both adsorption capacity and removal efficiency were below 0.05, with F-values of 116.91 and 115.58, respectively, supporting the model's validity. The optimum conditions for maximum removal of As(III) were determined through numerical and graphical optimization using the desirability function. It was found that the optimum conditions for adsorption were pH = 7.99, contact time of 3.99 h, As(III) initial concentration of 49.96 mg/L, and adsorbent dosage of 0.135 g/40 ml. The accuracy of the optimization procedure was confirmed by a confirmatory experiment, which showed a maximum arsenic removal of 91.31% and an adsorption capacity of 12.63 mg/g under optimized conditions. Moreover, XPS analysis was performed at different pH levels to investigate the As (III) adsorption mechanism. The results demonstrated that As(III) adsorption occurs at acidic and neutral pH levels. On the other hand, when pH is increased to 8, As (III) oxidizes to As (V), and then adsorption occurs.

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This paper presents an inverse design methodology that utilizes artificial intelligence (AI)-driven experiments to optimize the chemoenzymatic epoxidation of soyabean oil using hydrogen peroxide and lipase (Novozym 435). First, experiments are conducted using a systematic 3-level, 5-factor Box-Behnken design to explore the effect of input parameters on oxirane oxygen content (OOC (%)). Based on these experiments, various AI models are trained, with the support vector regression (SVR) model being found to be the most accurate. SVR is then used as a fitness function in particle swarm optimization, and the suggested optimal conditions, upon experimental validation, resulted in a maximum OOC of 7.19 % (∼98.5 % relative conversion of oil to epoxy). The results demonstrate the superiority of the proposed approach over existing methods. This framework offers a general intensified process optimization strategy with minimal resource utilization that can be applied to any other process.

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This study is the first report on purification, characterization, and application of laccase derived from the white-rot fungus, Pleurotus ostreatus HK35 (Hungary strain), in Congo Red decolorization. The purification process involved ammonium sulfate precipitation, dialysis, anion exchange chromatography, and ultrafiltration, yielding a specific laccase activity of 15.26 U/mg and a 30.21% recovery rate. The purified enzyme, with a molecular weight of approximately 34 kilodaltons, displayed optimal activity at a temperature of 60 °C and pH 4.0 when using 2,2'-azino-bis (3-ethylbenzthiazoline-6-sulphonic acid) (ABTS) as a substrate. The enzyme maintained over 82.02 ± 1.01% of its activity at temperatures up to 50 °C after 180 min but displayed less than 5% of its activity at 60 and 70 °C. Notably, the enzyme's activity was significantly enhanced by Pb(NO3)2, whereas ß-mercaptoethanol completely inhibited the activity. Utilizing the Box-Behnken design, we optimized Congo Red decolorization efficiency to 91.05 ± 0.82% at 100 mg/L Congo Red, 1.5 mM mediator concentration, and 1.6 U/mL laccase activity. Analysis of Variance (ANOVA) suggested the model was significant, and all variables significantly influenced decolorization efficiency. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-024-03926-7.

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The present study utilized Analytical Quality by Design (AQbD) approach to develop a stability-indicating high-performance liquid chromatography (HPLC) method for estimating evogliptin tartrate using design expert software. The key parameters were methodically optimized, contours were plotted, and stability was evaluated using various forced degradation conditions. Using an Agilent HPLC system with a photo diode array (PDA) detector along with Fortis C18 column (250 × 4.6 mm, 5 µm) effectively separated the drug from its degradants. The mobile phase used was methanol: water (pH adjusted to 3.0, 76:24; v/v) at 0.8 mL/min flow rate. Evogliptin was eluted at 2.98 min, at a detection wavelength of 267 nm. The proposed method was found to be specific, precise, linear and robust. The drug was sensitive to acidic, basic, oxidative, thermal, and photodegradation resolving six degradation products. Thus, the developed AQbD-based stability-indicating HPLC method is applicable in analyzing evogliptin in bulk, tablet dosage form and stability samples.

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Intestinal lymphatic transport offers an alternative and effective way to deliver drugs, such as avoiding first-pass metabolism, enhancing oral bioavailability, and facilitating the treatment of targeted lymphoid-related diseases. However, the clinical use of luteolin (LUT) is limited by its poor water solubility and low bioavailability, and enhancing lymphatic transport by nanoemulsion may be an efficient way to enhance its oral bioavailability. The objective of this work is to prepare the luteolin nanoemulsions (LUT NEs), optimized its preparation parameters by using Box-Behnken design optimization (BBD) and evaluated it in vitro and in vivo. An Caco-2 / Raji B cell co-incubation monolayer model was established to simulate the M-cell pathway, and the differences in the transmembrane transport of LUT and NEs were compared. Cycloheximide (CHX) was utilized to establish rat chylomicron (CM) blocking model, and for investigating the influence of pharmacokinetic parameters in rats thereafter. The results showed that LUT NEs have good stability, the particle sizes were about 23.87 ± 0.57 nm. Compared with LUT suspension, The Papp of LUT NEs was enhanced for 3.5-folds, the oral bioavailability was increased by about 2.97-folds. In addition, after binding with chylomicron, the oral bioavailability of LUT NEs was decreased for about 30% (AUC 0-∞ (µg/L*h): 5.356 ± 1.144 vs 3.753 ± 0.188). These results demonstrated that NEs could enhance the oral absorption of luteolin via lymphatic transport routes.

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Organic dyestuff are mostly toxic compounds that pose serious dangers to the environment. Adsorption using low-cost adsorbents is the most favorable method for its economic aspects. Recently, geopolymers have been introduced as an effective adsorbent for dyes and heavy metals. In this investigation, the synthesis of geopolymers from fired brick waste (Homra) was studied with full characterization using X-ray Diffraction, Fourier Transform Infrared Spectroscopy, Brunauer-Emmett-Teller, Energy dispersive X-ray, Scanning electron microscope tests and Transmission electron microscopy. The synthesized nano-Homra geopolymer (NHGP) was then subjected to the removal of one of the most used basic dyes, Methylene Blue (MB). Adsorption optimization was applied using Response surface methodology to study dye adsorption by the synthesized nano-geopolymer. The independent variables studied were: temperature, contact time, and concentration of dye in the elimination process, which were varied in the range of (25-60 ℃), (10-180 min), and (20-300 mg/L) respectively. The results obtained from ANOVA indicated that the maximum removal efficiency of 95% and adsorption capacity of 80.65 mg/g at a temperature of 59 ℃, contact time of 163 min, and an initial concentration of 254 mg/L. The results showed that the data obtained from the adsorption of MB onto NHGP was compatible with the Pseudo second order (R2 = 0.9838) and Langmuir isotherm model (R2 = 0.9882).

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BACKGROUND: Unpredictable situations such as clotting of blood, deep vein thrombosis, and pulmonary embolism arise in the body, which is the leading cause of mortality. Such conditions generally arise after surgery as well as after treatment with oral anticoagulant agents. Apixaban is a novel oral anticoagulant widely recommended for the prevention and treatment of strokes and blood clots suffering from nonvalvular atrial fibrillation by suppressing factor Xa. Apixaban has a log P of 2.71 with poor solubility and reported maximum bioavailability of approximately 50%. OBJECTIVE: Hence, the current research mainly focused on the improvement of solubility, bioavailability, and therapeutic efficacy of Apixaban via solid lipid nanoparticles (SLN). METHODS: The SLN was developed using the hot-homogenization method using a high-pressure homogenizer. The drug-lipid compatibility study was assessed by the FTIR, and the thermal analysis was performed using differential scanning calorimetry (DSC). During the scrutiny of lipids, the highest solubility of Apixaban was estimated in the glyceryl monostearate, hence selected for the formulation. Moreover, the colloidal solution was stabilized by the polyethylene glycol 200. The Design of Expert software (Version 13, Stat-Ease) was implemented for the optimization analysis by considering the 3-independent factors and 2-dependent parameters. The Patents on the SLN are Indian 202321053691, U.S. Patent, 10,973,798B2, U.S. Patent, U.S. Patent 2021/0069121A1, U.S. Patent 2022/0151945A1. RESULTS: Box-Behnken design was applied along with ANOVA, which showed a p-value less than 0.05 for the dependent parameters such as particle size and entrapment efficiency (p-value: 0.0476 and 0.0379). The optimized batch F10 showed a particle size of 167.1 nm, -19.5 mV zeta potential, and an entrapment efficiency of 87.32%. The optimized batch F10 was lyophilized and analyzed by Scanning electron microscopy (SEM), which showed a particle size of 130 nm. The solid powder was filled into the capsule for oral delivery. CONCLUSION: The marked improvement in solubility and bioavailability was achieved with F10- loaded Apixaban via Solid lipid nanoparticles. Moreover, the sustained released profile also minimizes the unseen complications that occur due to the clotting of blood.

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Heavy metal ions pose significant risks to human health, pelagic, and several other life forms due to perniciousness, tendency to accumulate, and resistance to biodegradation. Waste bio-materials extend a budding alternative as low-cost adsorbent to address the removal of noxious pollutants from wastewater on account of being cost-effective and exhibiting exceptional adsorption capacities. The current exploration was accomplished to gauge the performance of raw and modified human hair concerning lead scavenging in a down-flow fixed bed column. The appraisal of column performance under varying operational parameters encompassing bed height (15-45 cm), influent metal ion concentration (60-140 mg L-1), and a solution flow rate (20-40 mL min-1) was performed by breakthrough curve analysis. The consequences acquired were evaluated using the Yoon Nelson, Thomas, Adam-Bohart, and Bed Depth Service Time (BDST) model. Among these employed models, Bed Depth Service Time (BDST) and Thomas models exhibited the highest R-squared value compared to the Yoon Nelson and Adam-Bohart's model for most cases. In addition, the optimization of lead adsorption was followed using the Box-Behnken design of response surface methodology (RSM). The optimal conditions (desirability-1.00) for achieving a goal of maximum percent removal of lead ions were marked to be a bed height of 42.79 cm, solution flow rate of 20.92 mL min-1, and an initial metal concentration of 139.51 mg L-1. Under these optimized conditions, the percent amputation of lead in a fixed bed was observed to be 82.31 %, while the results of the experiment performed approximately under these optimized conditions revealed a percent removal of 85.05 %, reflecting a reasonable conformity with values acquired through Box-Behnken design.

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PURPOSE: The current investigation involved the development and application of a topical treatment for wound healing for sesamol loaded into the silver nanoparticles (SML-AgNPs). METHODS: SML-AgNPs were produced through the application of microwave technique. The SML-AgNPs were further optimized utilizing a Box Behnken Design (BBD). RESULTS: The Opt-SML-AgNPs formulation that was optimized demonstrated a particle size of 160.49 ± 1.11 nm, a polydispersity index (PDI) of 0.241 ± 0.54, a zeta potential of -21.09 ± 0.88 mV, and an efficiency of 84.19 ± 1.19%. The morphology of the Opt-SML-AgNPs reveals a spherical structure. The Opt-SML-AgNPs exhibit a higher in vitro drug release rate as compared to the SML suspension. The Opt-SML-AgNPs were incorporated into the carbopol gel (Opt-SML-AgNPG) and evaluated for various parameters. The skin permeation investigation revealed a twofold increase for the Opt-SML-AgNPG formulation when compared to the SML-conventional gel formulation. This finding indicates a prolonged release pattern and an enhanced permeability profile. The Opt-SML-AgNPs formulation exhibited a higher level of antioxidant activity when compared to the SML solution which is beneficial for wound healing. CONCLUSION: In conclusion, the Opt-SML-AgNPG exhibits considerable potential in effectively penetrating the deeper dermal layers. Therefore, it may be considered that they possess the potential to serve as a suitable nanocarrier to administer topical delivery in the context of treating skin-related illnesses.

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The present paper is a comprehensive study on the optimization of ultrasonic assisted extraction and characterization of valued components from the newly developed garlic cultivar NARC-G1. The response surface methodology was employed to optimize the extraction time, solvent-to-solid ratio and extraction temperature, for optimal total phenolic contents (TPC), DPPH radical scavenging activity, α-amylase inhibition, and α-glucosidase inhibition. Under the optimized conditions (23 min extraction time, 60 °C temperature, and 39 : 1 solvent-to-solute ratio) the optimal TPC (13.76 mg GAE/g), DPPH radical scavenging activity (62.76 %), α-amylase inhibition (71.43 %), and α-glucosidase inhibition (79.43 %) were obtained. Significant correlations were observed between actual values and predicted values for the selected responses. Gas chromatography-mass spectrometry (GC-MS), revealed 26 high-value bioactives, with diallyl disulphide being the most abundant (16.22 %), followed by 2,3-dihydro-3,5-dihydroxy-6-methyl, 4H-pyran-4-one and 5-Hydroxymethylfurfural. Additionally, in silico investigation indicated that stigmasterol, arbutin, squalene, α-tocopherol and linoleic acid were responsible for antihyperglycemic potential. Moreover, antimicrobial activity revealed that S. mutans (19.25±1.98 mm) and L. monocytogenes (19.34±2.04 mm) were the most sensitive, while P. aeruginosa was the least sensitive bacterial strains against the optimized NARC-G1 garlic extract. This research effectively explains the optimal recovery of high-valued components from NARC-G1 and may contribute to nutra-pharmaceutical and functional food developments.

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Ultrasound-assisted extraction (UAE) was evaluated as a green procedure to produce faba beans protein isolates from faba beans. Magnetic stirring was performed as conventional extraction. A three-level five-factor Box-Behnken Design (BBD) was applied to obtain the optimal UAE conditions to concurrently maximize extraction yield and protein content. The response surface methodology (RSM) showed a quadratic curvature for extraction yield and protein. The optimal extraction conditions were determined as: Power of 123 W, solute/solvent ratio of 0.06 (1:15 g/mL), sonication time of 41 min, and total volume of 623 mL with a desirability value of 0.82. Under these conditions, the extraction yield of 19. 75 ± 0.87 % (Protein yield of 67.84 %) and protein content of 92.87 ± 0.53 % were obtained for optimum ultrasound extraction. Control samples using magnetic stirring under similar conditions without ultrasound treatment showed an extraction yield of 16.41 ± 0.02 % (Protein yield of 54.65 %) and a protein content of 89. 88 ± 0.40 %. This shows that BBD can effectively be used to optimize the extraction of proteins from faba beans using optimal extraction conditions, resulting in a higher extraction yield and protein purity.

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BACKGROUND: Cationic liposomes represent a promising non-viral carrier platform for gene delivery. The successful intracellular delivery of genes to the target cell is highly influenced by lipid compositions in the liposomal formulation. In the present study, a Box-Behnken design was applied to investigate the optimal lipid composition for the liposome-based transfection agent. METHODS: The concentrations of DOTAP, DSPE-PEG, and cholesterol were set as independent factors. A total of 15 lipid compositions were generated and tested for specific responses, including particle size, encapsulation efficiency, cell viability, and cell transfection. The data were then analyzed to predict the optimal composition using response surface methodology (RSM). RESULTS: The results for particle size, encapsulation efficiency, cell viability and fluorescence intensity ranged from 158.7 to 2064 nm, 48.19-95.72%, 81.50-122.67%, and 0.0-9.08, respectively. Compositions of liposome-based transfection agent without DOTAP, those without cholesterol, and those containing DSPE-PEG2000 with a molar ratio equal to or greater than that of cholesterol tended to exhibit low encapsulation efficiency. The ability of the liposome to complex DNA, as determined through electrophoresis gel retardation assay, showed that the composition without DOTAP produced DNA bands, indicating that the prepared liposomes had a less ability to complex DNA. The cytotoxicity test results indicated that all lipid compositions were considered non-toxic, as they exhibited >80% cell viability. The cell transfection assay demonstrated that the lipid composition containing a combination of DOTAP and cholesterol was able to transfect DNA into cells. According to response analysis, RSM predicted that the optimal lipid composition consisted of 2.75 µmol DOTAP and 0.91 µmol cholesterol, with a desirability value of 0.85. CONCLUSIONS: Although the equation model is still acceptable for predicting the optimal lipid composition, further study is needed to obtain a model with higher desirability, such as by using more lipid compositions, increased replications, and different variable responses.

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ABSTARCTAim: Development and evaluation of aqueous core nanocapsules (ACNs) of BCS-II-class drug like resveratrol (RSV) and pterostilbene (PTE) for prostate cancer. Materials & methods: Identify synergistic effects of molar ratios of RSV and PTE against PC-3 cell. Selected ratio of drugs was added to ACNs by double-emulsification-method using Box-Behnken design. Further, assessed for physicochemical characterization, release kinetics, compatibility, in vitro cytotoxicity, in vivo pharmacokinetic and biodistribution studies. Results: Selected 1:1 ratio of RSV and PTE had greatest synergy potential have smaller particle-size (128.1 ± 3.21 nm), zeta-potential (-22.12 ± 0.2 mV), 0.53 PDI, improved encapsulation (87% for RSV, 72% for PTE), stable, no systemic toxicity, high biodistributed/accumulated in prostate cells. Conclusion: ACNs exhibited high t1/2 (12.42 ± 1.92 hs) and 8.20 ± 8.21 hs Mean Residence Time and lower clearance, proving the high effectiveness for prostate cancer.

[Box: see text].

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Cellulose and lignin, sourced from biomass, hold potential for innovative bioprocesses and biomaterials. However, traditional fractionation and purification methods often rely on harmful chemicals and high temperatures, making these processes both hazardous and costly. This study introduces a sustainable approach for fractionating acacia wood, focusing on both cellulose and lignin extraction using a deep eutectic solvent (DES) composed of choline chloride (ChCl) and levulinic acid (LA). A design of experiment was employed for the optimization of the most relevant fractionation parameters: time and temperature. In the case of the lignin, both parameters were found to be significant variables in the fractionation process (p-values of 0.0128 and 0.0319 for time and temperature, respectively), with a positive influence. Likewise, in the cellulose case, time and temperature also demonstrated a positive effect, with p-values of 0.0103 and 0.028, respectively. An optimization study was finally conducted to determine the maximum fractionation yield of lignin and cellulose. The optimized conditions were found to be 15% (w/v) of the wood sample in 1:3 ChCl:LA under a treatment temperature of 160 °C for 8 h. The developed method was validated through repeatability and intermediate precision studies, which yielded a coefficient of variation lower than 5%. The recovery and reuse of DES were successfully evaluated, revealing remarkable fractionation yields even after five cycles. This work demonstrates the feasibility of selectively extracting lignin and cellulose from woody biomass using a sustainable solvent, thus paving the way for valorization of invasive species biomass.

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Acid mine drainage (AMD) is one of the main environmental problems associated with mining activity, whether the mine is operational or abandoned. In this work, several precipitates from this mine drainage generated by the oxidation of sulfide minerals, when exposed to weathering, were used as adsorbents. Such AMD precipitates from abandoned Portuguese mines (AGO, AGO-1, CF, and V9) were compared with two raw materials from Morocco (ClayMA and pyrophyllite) in terms of their efficiency in wastewater treatment. Different analytical techniques, such as XRD diffraction (XRD), Fourier Transform Infrared spectroscopy (FTIR), N2 adsorption isotherms, and Scanning Electron Microscopy (SEM) with Energy Dispersive X-ray (EDX) were used to characterize these natural materials. The adsorption properties were studied by optimizing different experimental factors, such as type of adsorbent, adsorbent mass, and dye concentration by the Box-Behnken Design model, using methylene blue (MB) and crystal violet (CV) compounds as organic pollutants. The obtained kinetic data were examined using the pseudo-first and pseudo-second order equations, and the equilibrium adsorption data were studied using the Freundlich and Langmuir models. The adsorption behavior of the different adsorbents was perfectly fitted by the pseudo-second order kinetic model and the Langmuir isotherm. The most efficient adsorbent for both dyes was AGO-1 due to the presence of the cellulose molecules, with qm equal to 40.5 and 16.0 mg/g for CV and MB, respectively. This study confirms the possibility of employing AMD precipitates to adsorb organic pollutants in water, providing valuable information for developing future affordable solutions to reduce the wastes associated with mining activity.

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In this study, novel functional ZEO-complex gels were prepared using sodium alginate, inulin, grape seed extract (GSE), and Zanthoxylum bungeanum essential oil (ZEO) as the primary raw materials. The effect of the addition of inulin, GSE, and ZEO on water vapor permeability (WVP), tensile strength (TS), and elongation at break (EAB) of ZEO-complex polysaccharide gels was investigated. A comprehensive score (Y) for evaluating the characteristics of ZEO-complex polysaccharide gels was established by principal component analysis. MATLAB analysis and box-Behnken design describe each factor's four-dimensional and three-dimensional interactions. It was found that Y could reach the maximum value when the ZEO addition was at a moderate level (C = 2%). The optimum preparation process of ZEO-complex polysaccharide gels was as follows: the addition of inulin was at 0.84%, the addition of GSE was at 0.04%, and the addition of ZEO was at 2.0785%; in this way, the Y of ZEO-complex polysaccharide gels reached the maximum (0.82276). Optical scanning and X-ray diffraction tests confirmed that the prepared ZEO-complex gels have a smooth and continuous microstructure, good water insulation, and mechanical properties. The storage test results show that ZEO-complex polysaccharide gels could play a significant role in the storage and fresh-keeping of grass carp, and the physicochemical properties of complex polysaccharide gels were improved by adding ZEO. In addition, according to the correlation of fish index changes during storage, adding ZEO in complex polysaccharide gels was closely correlated with the changes in fish TBARS and TVB-N oxidation decay indices. In conclusion, the ZEO-complex polysaccharide gels prepared in this study had excellent water insulation, mechanical properties, and outstanding fresh-keeping effects on grass carp.