Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  Clean Technologies  /  Vol: 6 Par: 1 (2024)  /  Artículo
ARTÍCULO
TITULO

CO2 Capture Using Deep Eutectic Solvents Integrated with Microalgal Fixation

Eliza Gabriela Brettfeld    
Daria Gabriela Popa    
Tanase Dobre    
Corina Ioana Moga    
Diana Constantinescu-Aruxandei and Florin Oancea    

Resumen

In this study, we investigated the use of functionalized deep eutectic solvents (DESs) as a medium for CO2 capture integrated with CO2 desorption and biofixation in microalgal culture, as an approach for carbon capture, utilization, and storage (CCUS). The newly devised DES formulation?comprising choline chloride, ethylene glycol, and monoethanolamine?demonstrated a significant advancement in CO2 absorption capacity compared with conventional solvents. Effective CO2 desorption from the solvent was also achieved, recovering nearly 90% of the captured CO2. We then examined the application of the functionalized DESs to promote microalgal cultivation using a Chlorella sp. strain. The experimental results indicated that microalgae exposed to DES-desorbed CO2 exhibited heightened growth rates and enhanced biomass production, signifying the potential of DES-driven CO2 capture for sustainable microalgal biomass cultivation. This research contributes to the growing field of CCUS strategies, offering an avenue for efficient CO2 capture and conversion into valuable biomasses, thereby contributing to both environmental sustainability and bioresource use.

 Artículos similares

       
 
Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang     Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so... ver más

 
Sipho G. Thango, Georgios A. Drosopoulos, Siphesihle M. Motsa and Georgios E. Stavroulakis    
A methodology to predict key aspects of the structural response of masonry walls under blast loading using artificial neural networks (ANN) is presented in this paper. The failure patterns of masonry walls due to in and out-of-plane loading are complex d... ver más
Revista: Infrastructures

 
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu    
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer... ver más

 
Deqi Wang, Xuefeng Liu, Huan Li, Hai Chen, Xiaojuan Wang, Wei Li, Lianbao Cao, Jianlin Liu, Tingting Zhang and Bigui Wei    
To investigate the quantitative relationship between the volume capture of rainfall and carbon emissions from bioretention facilities, this study introduces the concept of the carbon intensity of volume capture of rainfall. The influence of four key fact... ver más
Revista: Water

 
Majid Niazkar, Margherita Evangelisti, Cosimo Peruzzi, Andrea Galli, Marco Maglionico and Daniele Masseroni    
The first flush (FF) phenomenon is commonly associated with a relevant load of pollutants, raising concerns about water quality and environmental management in agro-urban areas. An FF event can potentially transport contaminated water into a receiving wa... ver más
Revista: Water