Effective Removal of Calcium and Magnesium Ions from Water by a Novel Alginate-Citrate Composite Aerogel

Effect of intraoperative blood transfusion during maternal cesarean section on serum electrolytes and inflammatory response plus cellular immune response: A retrospective study

Analyzing the effect of intraoperative autotransfusion on serum electrolytes, inflammatory response and cellular immune response in puerperae undergoing cesarean section. This study is a retrospective study of 60 women who underwent cesarean section in our hospital from January 2022 to January 2023. The subjects were divided into 2 groups according to the blood transfusion mode of the patients. The differences in blood transfusion volume, blood transfusion volume, serum electrolyte, inflammatory response, cellular immune function, coagulation function and prognosis were compared between the 2 groups. The intraoperative blood transfusion volume, postoperative feeding time, the activity time since getting out of bed, the time of physical recovery and hospital stay in the observation group were lower compared to those of the control group, but the intraoperative crystal infusion volume and the colloid infusion volume in the observation group were higher compared to those of the control group (P < .05). Ca2+ concentrations of the observation group and the control group were lower compared with those of their same groups before surgery (P < .05), however, there were no statistically significant differences in the comparison of the Ca2+ concentrations between the observation group and the control group (P > .05). At 1d postoperatively, IL-1β, IL-6 and granulocyte-macrophage colony-stimulating factor (GM-CSF) were all higher (P < .05) and CD3+, CD4+ and CD4+/CD8+ were all lower (P < .05) in the observation group and the control group compared with those of their same groups before surgery. The IL-1 β, IL-6, and GM-CSF of the observation group were decreased compared to those of the control group (P < .05) and CD3+, CD4+, CD4+/CD8+ of the observation group were elevated compared to those of the control group (P < .05). Both autotransfusion and allogeneic blood transfusions during maternal cesarean section can attenuate the inflammatory response and have no significant inhibition of coagulation, and autotransfusion have less effect on the cellular immune response, are more effective in attenuating the inflammatory response, and significantly improve prognosis, although changes in Ca2+ concentration after transfusion require attention.

Artificial intelligence models for predicting calcium and magnesium removal by polyfunctional ketone using ensemble machine learners

Calcium (Ca2+) and magnesium (Mg2+) are the major scaling ions of reverse osmosis concentrate in zero-liquid discharge systems, causing performance decline. In this study, we predicted the removal of Ca2+ and Mg2+ from simulated reverse osmosis concentrate by functional polyketones (FPKs). Four amines, including 1,2-diaminopropane (DAP), 1-(2-aminoethyl) piperazine (AEP), 1-(3-aminopropyl) imidazole (API), and butyl amine (BA) used to synthesize FPKs. The effects of various factors such as the amount of adsorbent, feed water concentration, and pH were investigated for process optimization. In this study, ensemble learner artificial intelligence models, decision tree (DT), extreme gradient boost (XGB), and random forest (RF) were used to predict Ca2+ and Mg2+ removal by the FPKs. Datasets were collected experimentally using FPKs to remove Ca2+ and Mg2+ from the simulated reverse osmosis concentrate. The predictions were made by XGB, DT, and RF models for the first chosen amine for Ca2+ and then for Mg2+, subsequently, this process was repeated with each amine. The developed DT, RF, and XGB models demonstrated higher coefficients of determination for predicting Mg2+ removal by AEP and DAP (R2 = 0.841-0.935) than by API and BA (R2 = 0.774-0.801) except in the RF and XGB model results (R2 = 0.801-0.846). Overall, the XGB model displayed good results for both Ca2+ and Mg2+ removal but slight changes were observed in the AEP and BA predictions by DT and RF. Therefore, artificial intelligence models may be a viable alternative for further insight in predicting Ca2+ and Mg2+ removal by FPKs from simulated reverse osmosis concentrate.

Sodium citrate increases the aggregation capacity of calcium ions during microbial mineralization to accelerate the formation of calcium carbonate

The microbially induced carbonate precipitation (MICP) technique is widely used in soil heavy metal pollution control. Microbial mineralization involves extended mineralization times and slow crystallization rates. Thus, it is important to discover a method to accelerate mineralization. In this study, we selected six nucleating agents to screen and investigated the mineralization mechanism using polarized light microscopy, scanning electron microscopy, X-ray diffraction and Fourier-transform infrared spectroscopy. The results showed that sodium citrate removed 90.1% Pb better than traditional MICP and generated the highest amount of precipitation. Interestingly, due to the addition of sodium citrate (NaCit), the rate of crystallization increased and vaterite was stabilized. Moreover, we constructed a possible model to explain that NaCit increases the aggregation capacity of calcium ions during microbial mineralization to accelerate the formation of calcium carbonate (CaCO₃). Thus, sodium citrate can increase the rate of MICP bioremediation, which is important for improving MICP efficiency.

New application to remediate drinkable groundwater from excess of hardness ions by using sodalite bearing modified illite

Calcium Hardness (Ca. H) and total Hardness ions in drinkable groundwater cause great problems for the entire world especially, the population communities which are located far from surface water sources. The present study investigates the use of Sodalite Bearing Modified Illite (SBMI) as a sustainable and new technique to eliminate these ions from drinkable groundwater to compatible with the instruction of the World Health Organization. The methodology was achieved by using a new method to remove these ions' excess calcium Hardness and total Hardness depending on two main processes; the adsorption as a first step and the coagulation-flocculation-sedimentation process as a second step. The results of this study were achieved through conducting three tasks; (1) Chemical analysis surveys for all the groundwater wells, to determine the areas which are more affected by these salts, and plot them on the location maps. (2) Conducting the alkaline modification of the Illite ore to obtain the (SBMI) which has a high surface area and high adsorption ability, and it had been characterized by using XRD, XRF, SEM, and FTIR techniques. (3) The experimental studies were conducted to evaluate the effect of the modified Illite on raw groundwater containing a high concentration of hardness ions, through the batch studies to determine the factors which affected its ability for removing these ions from groundwater. The present study illustrated that the removing efficiency for both total hardness (Ca. H + Mg. H) and calcium hardness (Ca. H) reached about 98%. Finally, the present study recommended using this technique, when there is a requirement for large quantities of treated water at a low cost.

Investigation of Calcium and Magnesium Removal by Donnan Dialysis According to the Doehlert Design for Softening Different Water Types

In this study, calcium and magnesium were removed from Tunisian dam, lake, and tap water using Donnan Dialysis (DD) according to the Doehlert design. Three cation-exchange membranes (CMV, CMX, and CMS) were used in a preliminary investigation to establish the upper and lower bounds of each parameter and to more precisely pinpoint the optimal value. The concentration of compensating sodium ions [Na⁺] in the receiver compartment, the concentration of calcium [Ca²⁺] and magnesium [Mg²⁺] in the feed compartment, and the membrane nature were the experimental parameters. The findings indicate that the CMV membrane offers the highest elimination rate of calcium and magnesium. The Full Factorial Design makes it possible to determine how the experimental factors affect the removal of calcium and magnesium by DD. All parameters used had a favorable impact on the response; however, the calcium and magnesium concentration were the most significant ones. The Doehlert design's Response Surface Methodology (RSM) was used to determine the optimum conditions ([Mg²⁺] = 90 mg·L^-1, [Ca²⁺] = 88 mg·L^-1, [Na⁺] = 0.68 mol·L^-1) allowing a 90.6% hardness removal rate with the CMV membrane. Finally, we used Donnan Dialysis to remove calcium and magnesium from the three different types of natural water: Dam, Lake, and Tap water. The results indicate that, when compared to lake water and tap water, the removal of calcium and magnesium from dam water is the best. This can be linked to the water matrix's complexity. Therefore, using Donnan Dialysis to decrease natural waters hardness was revealed to be suitable.

Removal of soluble divalent manganese by superfine powdered activated carbon and free chlorine: Development and application of a simple kinetic model of mass transfer-catalytic surface oxidation

Catalytic oxidative removal of Mn²⁺ on activated-carbon surfaces by free chlorine was recently discovered and found to be potentially practicable for water treatment when using micrometer-sized activated carbon. Herein, we newly derived a kinetic model for trace-substance removal by catalytic reaction and applied it to the Mn²⁺ removal. External-film mass transfer, adsorption, and oxidation/desorption contributed similarly to the Mn²⁺ removal rate under actual practical conditions. The low removal rate in natural water was attributed to decreases in available adsorption sites: e.g., a 50% decrease in available sites in water with 0.26 mmol-Ca²⁺/L caused a 15% reduction in removal rate. Low temperature greatly reduced the removal rate by both enhancing the decrease in available sites and hindering mass transfer through increased viscosity. While adsorption sites differed 8-fold between different carbon particles, causing a 2.2-fold difference in removal rates, carbon particle size was more influential, with a >10-fold difference between 2- and 30-μm sizes.

Robust SiO2–Al2O3/Agarose Composite Aerogel Beads with Outstanding Thermal Insulation Based on Coal Gangue

Advanced SiO2–Al2O3 aerogel materials have outstanding potential in the field of thermal insulation. Nevertheless, the creation of a mechanically robust and low-cost SiO2–Al2O3 aerogel material remains a considerable challenge. In this study, SiO2–Al2O3 aerogel based on coal gangue, which is a type of zero-cost inorganic waste, was constructed in porous agarose aerogel beads, followed by simple chemical vapor deposition of trimethylchlorosilane to fabricate SiO2–Al2O3/agarose composite aerogel beads (SCABs). The resulting SCABs exhibited a unique nanoscale interpenetrating network structure, which is lightweight and has high specific surface area (538.3 m2/g), hydrophobicity (approximately 128°), and excellent thermal stability and thermal insulation performance. Moreover, the compressive strength of the SCABs was dramatically increased by approximately a factor of ten compared to that of native SiO2–Al2O3 aerogel beads. The prepared SCABs not only pave the way for the design of a novel aerogel material for use in thermal insulation without requiring expensive raw materials, but also provide an effective way to comprehensively use coal gangue.