AI summary

75% confidence

This paper reviews the use of seaweed biomass in microbial fuel cells for sustainable energy and wastewater treatment, exploring its potential as an anodic substrate, cathode oxygenator, and electrode modifier, and discusses the integration of machine learning and hybrid systems for enhanced performance.

Generated by MESSAI extraction pipeline · review against source PDF

Generic MFCRepresentative model
Click to animate flow
loading 3D model…

Representative MFC — matched on the paper’s system type only, not its reactor or geometry.

Extraction

Reported parameters

5 extracted values

View extracted values

Open in lab for full controls, parameter editing, and template overlays.

Open in lab →

What they did

System
MFC

What worked

No outcome metrics extracted yet.

Abstract

Seaweeds (SWs) have been widely used in food, agricultural, pharmaceutical industries, and biofuel production (especially biogas) and have been well-reviewed. Recently, emerging research has explored the SWs utilization in microbial fuel cells (MFCs) for electricity production. However, no review provides a comprehensive scenario for SWs conversion in MFCs for biofuel generation. Thus, the motivation of this review is to provide an in-depth insight into the SWs utilization as anodic substrates, cathode oxygenators, and electrode modifiers. Strategies for integrating SWs-based MFCs with other systems have been discussed. This review also went one step deeper by integrating artificial intelligence (AI) in SWs-based MFCs. Brown SWs Laminaria digitata (carbohydrates, 51.9%) showed potential as anodic substrate by achieving power density up to 120 mW m -2 , while green SWs Ulva intestinalis (carbohydrates, 55.4%) as cathodic photosynthetic oxygenation enhanced power density up to 46.15 mW m -2 . SWs-derived biochar electrodes improve power output to 45.2 W m -3 . The co-substrates of SWs with protein and lipid-rich can be a potential approach for boosting electricity generation. The AI integration models (XGBoost and deep neural networks) might offer advanced optimization for operational conditions. Future research should focus on novel electrode materials and genetically engineered microbes to maximize electricity production in SWs-based MFCs.

Keywords

Microbial fuel cellBiofuelElectricity generationBiochemical engineeringElectricityAnode

Identifiers

PubMed
41747898
Journal
Bioresource technology
Year
2026