RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Graphene-Based Bioreactor for Renewable Energy Generation from Biomass

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2022

Graphene-Based Bioreactor for Renewable Energy Generation from Biomass

0 Datasets

0 Files

English
2022
SSRN Electronic Journal
DOI: 10.2139/ssrn.4271090

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

Verified
Daria V. Andreeva
Xuanye Leng
Ricardo Javier Vázquez
+12 more

Abstract

The high electrical conductivity and low dimensionality of graphene is essential for the development of novel lightweight electrodes for bioenergy technologies with a zero CO2 footprint. However, the integration of graphene in ecosystems presents a formidable challenge, especially because the surface energy of graphene is not compatible with living matter. Here we propose a sustainable chemical control method to balance surface hydrophilicity and conductivity of graphene nanowalls to form a graphene-based lightweight sponge bioreactor. The few-nanometer--thick conductive nanowalls create biocompatible hydrophilic microconfinements to harvest the biomass density of electrogenic Shewanella Oneidensis MR-1. The graphene-based bioreactor shows a stable and rapid bio-current response with a steady-state bio-current density of 135.35 mA·m-2 realized within a few hours. Our novel and sustainable graphene-based material provides a revolutionarily energy opportunity for the establishment of new energy-related graphene industries as well as facilitates many startups.

How to cite this publication

Daria V. Andreeva, Xuanye Leng, Ricardo Javier Vázquez, Samantha R. McCuskey, Glenn Quek, Yude Su, Mariana C. F. Costa, Siyu Chen, Musen Chen, Kou Yang, Jinpei Zhao, Lin Mo, Zhaolong Chen, Guillermo C. Bazan, Konstantin ‘kostya’ Novoselov (2022). Graphene-Based Bioreactor for Renewable Energy Generation from Biomass. SSRN Electronic Journal, DOI: 10.2139/ssrn.4271090.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2022

Authors

15

Datasets

0

Total Files

0

Language

English

Journal

SSRN Electronic Journal

DOI

10.2139/ssrn.4271090

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access