REMOCIÓN DEL COLORANTE INDUSTRIAL AZUL DE METILENO UTILIZANDO EL ALGA PARDA FUCUS VESICULOSUS

El presente estudio tuvo como objetivo evaluar la eficiencia de remoción del colorante azul de metileno (AM), utilizando como biosorbente alga parda Fucus vesiculosus (sargazo vesiculoso). Se caracterizó el alga mediante la determinación del punto cero de carga. Se consideraron los efectos de los siguientes parámetros sobre la eficiencia de remoción del colorante: pH y temperatura del medio acuoso, concentración del colorante, tiempo de contacto, así como la dosis de biomasa. Se encontró que las condiciones óptimas de remoción del colorante fueron para los valores de pH entre 8 y 12. Se obtuvo una eficiencia de remoción del 92.8% a un pH de 12. El alga parda removió mejor el AM conforme aumentó la temperatura. A una temperatura de 60 °C se logró una eficiencia de remoción del 72.5%. Los resultados mostraron que el comportamiento de adsorción fue mejor descrito por el modelo de Langmuir. El alga Fucus vesiculosus presentó una capacidad máxima de adsorción de 555.56 mg/g del colorante. Con respecto a la cinética de adsorción, los datos obtenidos mostraron un buen ajuste a ambos modelos (pseudo primer y segundo orden). La cantidad óptima de biomasa fue de 0.1g y con ella se logró remover el 99.1% de AM

Characterizations and Industrial Applications for Cement and Concrete Incorporated Natural Zeolite

Zeolites have been widely used in various industries, leading to a high commercial value; this is mainly due to the wide diversity of naturally occurring species and the ability to synthesize new types. In the cement and concrete industry, natural zeolite is a popular natural pozzolanic material in some regions of the world owing to their economic, environmental, and technical advantages, among others, used pozzolanic materials. Many works have reported the use of natural zeolite as substituent material for cement in mortar and concrete. Generally, the use of natural zeolite can overcome environmental and economic problems associated with the use of high quantity of cement; furthermore, it is shown a strength enhancement and durability improvement properties of cement and concrete composites. In this context, this chapter strives to review the application of natural zeolite as pozzolan in cement and concrete composites, its characteristic, its proper incorporation, and each of the influencing parameters. In addition, the elaboration methods, textural and mechanical characterization, and applications of these composites will be treated

Hybrid long short-term memory and decision tree model for optimizing patient volume predictions in emergency departments

In this study, we address critical operational inefficiencies in emergency departments (EDs) by developing a hybrid predictive model that integrates long short-term memory (LSTM) networks with decision trees (DT). This model significantly enhances the prediction of patient volumes, a key factor in reducing wait times, optimizing resource allocation, and improving overall service quality in hospitals. By accurately forecasting the number of incoming patients, our model facilitates the efficient distribution of both human and material resources, tailored specifically to anticipated demand. Furthermore, this predictive accuracy ensures that EDs can maintain high service standards even during peak times, ultimately leading to better patient outcomes and more effective use of healthcare facilities. This paper demonstrates how advanced data analytics can be leveraged to solve some of the most pressing challenges faced by emergency medical services today

Application of Multivariable Analysis and FTIR-ATR Spectroscopy to the Prediction of Properties in Campeche Honey

Attenuated total reflectance-Fourier transform infrared spectrometry and chemometrics model was used for determination of physicochemical properties (pH, redox potential, free acidity, electrical conductivity, moisture, total soluble solids (TSS), ash, and HMF) in honey samples. The reference values of 189 honey samples of different botanical origin were determined using Association Official Analytical Chemists, (AOAC), 1990; Codex Alimentarius, 2001, International Honey Commission, 2002, methods. Multivariate calibration models were built using partial least squares (PLS) for the measurands studied. The developed models were validated using cross-validation and external validation; several statistical parameters were obtained to determine the robustness of the calibration models: (PCs) optimum number of components principal, (SECV) standard error of cross-validation, (R2cal) coefficient of determination of cross-validation, (SEP) standard error of validation, and (R2val) coefficient of determination for external validation and coefficient of variation (CV). The prediction accuracy for pH, redox potential, electrical conductivity, moisture, TSS, and ash was good, while for free acidity and HMF it was poor. The results demonstrate that attenuated total reflectance-Fourier transform infrared spectrometry is a valuable, rapid, and nondestructive tool for the quantification of physicochemical properties of honey

Mechanosynthesis of MFe 2

Adsorption of Pb(II) from aqueous solution using MFe2O4 nanoferrites (M = Co, Ni, and Zn) was studied. Nanoferrite samples were prepared via the mechanochemical method and were characterized by X-ray powder diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), micro-Raman, and vibrating sample magnetometry (VSM). XRD analysis confirms the formation of pure single phases of cubic ferrites with average crystallite sizes of 23.8, 19.4, and 19.2 nm for CoFe2O4, NiFe2O4, and ZnFe2O4, respectively. Only NiFe2O4 and ZnFe2O4 samples show superparamagnetic behavior at room temperature, whereas CoFe2O4 is ferromagnetic. Kinetics and isotherm adsorption studies for adsorption of Pb(II) were carried out. A pseudo-second-order kinetic describes the sorption behavior. The experimental data of the isotherms were well fitted to the Langmuir isotherm model. The maximum adsorption capacity of Pb(II) on the nanoferrites was found to be 20.58, 17.76, and 9.34 mg·g−1 for M = Co, Ni, and Zn, respectively

Comparison of Heavy Metals Removal from Aqueous Solution by Moringa oleifera Leaves and Seeds

In this work, biomass obtained from seeds (S-MO) and leaves (L-MO) of the Moringa oleifera plant were used as low-cost biosorbents to remove the Pb(II), Cd(II), Co(II), and Ni(II) from aqueous solutions. The biosorption of the heavy metal ions was done using the batch technique. The effects of contact time (30–1440 min), biosorbent dosage (10–50 g/L) (0.1–0.5 g), and initial concentration of metals (10–500 mg/L) on the sorption capacity of metal ions were investigated. The S-MO and L-MO samples’ characterization was performed using pHpzc, X-ray Diffraction (XRD), and Fourier Transform Infrared Spectroscopy (FTIR). It was found that the pHpzc was notably different between the seeds and leave-derived biosorbents. The removal process’s experimental kinetic data for both S-MO and L-MO were best described by the pseudo-second-order model for all metal ions, with R2 above 0.997 in all cases. Langmuir and Freundlich’s models were also used to analyze the isotherms parameters. Based on the Langmuir model, the maximum sorption capacities (Qm) for L-MO were found as follows: L-MO-Pb > L-MO-Cd > L-MO-Co ≥ L-MO-Ni, and for S-MO, the values of Qm values presented the following order: S-MO-Pb > S-MO-Co > S-MO-Cd > S-MO-Ni

Remoción del colorante industrial azul de metileno utilizando el alga parda fucus vesiculosus

El presente estudio tuvo como objetivo evaluar la eficiencia de remoción del colorante azul de metileno (AM), utilizando como biosorbente alga parda Fucus vesiculosus (sargazo vesiculoso). Se caracterizó el alga mediante la determinación del punto cero de carga. Se consideraron los efectos de los siguientes parámetros sobre la eficiencia de remoción del colorante: pH y temperatura del medio acuoso, concentración del colorante, tiempo de contacto, así como la dosis de biomasa. Se encontró que las condiciones óptimas de remoción del colorante fueron para los valores de pH entre 8 y 12. Se obtuvo una eficiencia de remoción del 92.8% a un pH de 12. El alga parda removió mejor el AM conforme aumentó la temperatura. A una temperatura de 60 °C se logró una eficiencia de remoción del 72.5%. Los resultados mostraron que el comportamiento de adsorción fue mejor descrito por el modelo de Langmuir. El alga Fucus vesiculosus presentó una capacidad máxima de adsorción de 555.56 mg/g del colorante. Con respecto a la cinética de adsorción, los datos obtenidos mostraron un buen ajuste a ambos modelos (pseudo primer y segundo orden). La cantidad óptima de biomasa fue de 0.1g y con ella se logró remover el 99.1% de AM