Green solutions for blue waters: Using biomaterials to purify water from microplastics and nanoplastics

Journal of Water Process Engineering, Год журнала: 2024, Номер 65, С. 105854 - 105854

Опубликована: Июль 23, 2024

Язык: Английский

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Simultaneous Energy, Fresh Water, and Biogas Production Process Utilizing Solar Thermal and Sewage Sludge

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

ABSTRACT Minimizing the detrimental effects of global warming and pollution from fossil fuel consumption is essential to meet growing demand for energy fresh water, making it imperative adopt renewable alternatives. The integration solar biomass in hybrid systems will grow importance. proposed study introduces a new design that facilitates simultaneous production power, biogas, water continuous process. present research aims tackle challenge utilizing multiple sources, such as biomass, generate fuel, water. To achieve this, 4‐stage multi‐effect desalination system be employed desalinating seawater. This paper discusses combining feedstocks address maintaining consistent power plants at night, when there no sunlight. hand involves assessing various factors using ASPEN Plus software, heat transfer fluid (SHTF), sewage sludge flowrates, biogas production, output waste stream gasification reactor, generation, freshwater production. Additionally, payback period this project approximately 4.8 years, with net value (NPV) around 560 million dollars. By performing sensitivity analysis, viability designed process quality resulting products were effectively demonstrated. From process, an impressive 76.8586 tons per hour syngas, composed carbon monoxide hydrogen, was generated. reached 34.547 MW, while simultaneously producing 783 m 3 /h Due efficient recovery throughout entire only 25 MW required. Despite efforts, operating 50% productivity level. supply required during daylight hours, total 38,908 square meters Parabolic trough collector (PTC) necessary. According environmental primary concern effect on human health. Solar collectors sea units account over 95% pollution. revelation showed resources could provide sustainable solution rising electricity, fuel.

Язык: Английский

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Evaluation of the probiotic, anti-bacterial, anti-biofilm, and safety properties of Lacticaseibacillus paracasei B31-2

LWT, Год журнала: 2024, Номер 207, С. 116676 - 116676

Опубликована: Авг. 26, 2024

Язык: Английский

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Nanogels in Biomedical Engineering: Revolutionizing Drug Delivery, Tissue Engineering, and Bioimaging

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(10)

Опубликована: Окт. 1, 2024

ABSTRACT Nanogels represent a significant innovation in the fields of nanotechnology and biomedical engineering, combining properties hydrogels nanoparticles to create versatile platforms for drug delivery, tissue bioimaging, other applications. These nanoscale hydrogels, typically ranging from 10 1000 nm, possess unique characteristics such as high water content, biocompatibility, ability encapsulate both hydrophilic hydrophobic molecules. The review explores synthesis, structural configurations, stimuli‐responsive nature nanogels, highlighting their adaptability targeted including across challenging barriers like blood–brain barrier. Furthermore, paper delves into applications particularly delivery systems, demonstrating potential revolutionize these fields. Despite promising preclinical results, challenges remain translating technologies clinical practice, issues related stability, scalability, regulatory approval. concludes by discussing future perspectives, emphasizing need further research optimize ultimately aiming enhance efficacy safety settings.

Язык: Английский

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Light-Activated Nanofibers: Advances in Photo-Responsive Electrospun Polymer Technologies

Polymer-Plastics Technology and Materials, Год журнала: 2024, Номер 64(4), С. 397 - 438

Опубликована: Окт. 1, 2024

Язык: Английский

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Soft computing models for prediction of bentonite plastic concrete strength

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 5, 2024

Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight structures like cut-off walls dams, etc., because it offers high plasticity, improved workability, and homogeneity. Also, bentonite added to mixes for adsorption toxic metals. The modified design BPC, as compared normal concrete, requires a reliable tool predict its strength. Thus, this study presents novel attempt at application two innovative evolutionary techniques known multi-expression programming (MEP) gene expression (GEP) boosting-based algorithm AdaBoost 28-day compressive strength ( ) BPC based on mixture composition. MEP GEP algorithms expressed their outputs form an empirical equation, while failed do so. were trained using dataset 246 points gathered from published literature having six important input factors predicting. developed models subject error evaluation, results revealed that all satisfied suggested criteria had correlation coefficient (R) greater than 0.9 both training testing phases. However, surpassed terms accuracy demonstrated lower RMSE 1.66 2.02 2.38 GEP. Similarly, objective function value was 0.10 0.176 0.16 MEP, which indicated overall good performance techniques. Shapley additive analysis done model gain further insights into prediction process, cement, coarse aggregate, fine aggregate are most predicting BPC. Moreover, interactive graphical user interface (GUI) has been be practically utilized civil engineering industry

Язык: Английский

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Stretchable Electronics: Advances in Elastic Conductive Fibers for Multifunctional Applications

Organic Electronics, Год журнала: 2024, Номер unknown, С. 107145 - 107145

Опубликована: Сен. 1, 2024

Язык: Английский

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Life cycle assessment and comparison of the conventional and third generation of photovoltaic panels

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Год журнала: 2025, Номер 47(2)

Опубликована: Янв. 9, 2025

Язык: Английский

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Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 6, 2024

Accurately predicting the Modulus of Resilience (MR) subgrade soils, which exhibit non-linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory techniques determining MR are often costly and time-consuming. This study explores efficacy Genetic Programming (GEP), Multi-Expression (MEP), Artificial Neural Networks (ANN) in forecasting using 2813 data records while considering six key parameters. Several Statistical assessments were utilized to evaluate model accuracy. The results indicate that GEP consistently outperforms MEP ANN models, demonstrating lowest error metrics highest correlation indices (R2). During training, achieved an R2 value 0.996, surpassing (R2 = 0.97) 0.95) models. Sensitivity SHAP (SHapley Additive exPlanations) analysis also performed gain insights into input parameter significance. revealed confining stress (21.6%) dry density (26.89%) most influential parameters MR. corroborated these findings, highlighting critical impact on predictions. underscores reliability as a robust tool precise prediction applications, providing valuable performance significance across various machine-learning (ML) approaches.

Язык: Английский

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Technical-economic analysis and optimization of multiple effect distillation system by solar energy conversion as the heat source

Solar Energy, Год журнала: 2024, Номер 280, С. 112859 - 112859

Опубликована: Авг. 20, 2024

Язык: Английский

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