Algal Research, Journal Year: 2024, Volume and Issue: 84, P. 103778 - 103778
Published: Nov. 5, 2024
Language: Английский
Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115695 - 115695
Published: Feb. 1, 2025
Language: Английский
Citations
1
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 439 - 458
Published: Jan. 1, 2025
Language: Английский
Citations
1
Published: June 3, 2024
The extensive metabolic diversity of microalgae, coupled with their rapid growth rates and cost-effective production, position these organisms as highly promising resources for a wide range biotechnological applications. These characteristics allow microalgae to address crucial needs in both the agricultural, medical, industrial sectors. Microalgae are proving be val-uable various fields, including remediation diverse wastewater types, production biofuels biofertilizers, extraction products from biomass. For decades, microalga Chlamydomonas has been widely used fundamental research model organism areas such photosynthesis, respiration, sulfur phosphorus metabolism, nitrogen flagella synthesis, among others. However, recent years, potential tool bioremediation, biofertilization, biomass, bio-products increasingly recognized. Bioremediation using presents significant sustainable reduction contaminants fa-cilitates resource recovery valorization microalgal offering important economic benefits. also established itself platform va-riety biotechnologically interesting products, different types biofuels, high-value-added products. aim this review is achieve comprehensive understanding aspects, explore interrelationship, which would offer environmental advantages.
Language: Английский
Citations
7
Plant Growth Regulation, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 18, 2024
Language: Английский
Citations
7
Bioengineering, Journal Year: 2024, Volume and Issue: 11(11), P. 1143 - 1143
Published: Nov. 13, 2024
This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. AI/ML technologies are used various aspects such as real-time monitoring, species identification, optimization growth conditions, harvesting, purification bioproducts. Commonly employed ML algorithms, including support vector (SVM), genetic algorithm (GA), decision tree (DT), random forest (RF), neural network (ANN), deep (DL), each have unique strengths but also present challenges, computational demands, overfitting, transparency. Despite these hurdles, shown significant improvements system performance, scalability, resource well cutting costs, minimizing downtime, reducing environmental impact. However, broader implementations face obstacles, data availability, model complexity, scalability issues, cybersecurity threats, regulatory challenges. To address solutions, use simulation-based data, modular designs, adaptive models, been proposed. contributes literature by offering a thorough analysis practical applications, benefits critical insights into this fast-evolving field.
Language: Английский
Citations
7
Polymers, Journal Year: 2024, Volume and Issue: 16(15), P. 2227 - 2227
Published: Aug. 5, 2024
Biopolymers are highly desirable alternatives to petrochemical-based plastics owing their biodegradable nature. The production of bioplastics, such as polyhydroxyalkanoates (PHAs), has been widely reported using various bacterial cultures with substrates ranging from pure biowaste-derived sugars. However, large-scale and economic feasibility major limiting factors. Now, algal biomass for PHA offers a potential solution these challenges significant environmental benefit. Algae, unique ability utilize carbon dioxide greenhouse gas (GHG) wastewater feed growth, can produce value-added products in the process and, thereby, play crucial role promoting sustainability. sugar recovery efficiency is variable depending on pretreatment procedures due inherent compositional variability among cell walls. Additionally, yields, composition, properties synthesized vary significantly microbial producers algal-derived Therefore, microalgal pretreatments synthesis copolymers still require considerable investigation develop an efficient commercial-scale process. This review provides overview discusses strategies enhance its properties, focusing managing GHGs sustainable future.
Language: Английский
Citations
5
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102990 - 102990
Published: Sept. 1, 2024
Citations
4
Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 860 - 860
Published: Jan. 22, 2025
Microalgae-based CO2 capture has potential as an industrial-scale solution to climate change challenges while also amassing usable microalgae biomass. Computational fluid dynamics (CFD) can optimize extraction in growing systems, especially when paired with phytohormone-regulated growth. This paper examines the use of CFD predict flow, nutrient distribution, light intensity, and mass transfer microalgae-based which are crucial for improving photosynthetic efficiency fixing CO2. The focus is on how phytohormones, such auxins cytokinin, influence microalgal growth their subsequent involvement increasing carbon sequestration. Furthermore, this review discusses applications reactor design, where biological kinetics interact increase biomass yield. scaling up transitioning from laboratory industrial application possible integration computational experiment data enhance simulation precision addressed. assessment demonstrates CFD’s important tool sustainable fixation.
Language: Английский
Citations
0
Carbon Capture Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100379 - 100379
Published: Jan. 1, 2025
Language: Английский
Citations
0
Process Biochemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0