Evidence map›Paper›PMID 37482680›Full record

ReviewBioengineered2023

Sustainable circular biorefinery approach for novel building blocks and bioenergy production from algae using microbial fuel cell.

Kevin Tian Xiang Tong, Inn Shi Tan, Henry Chee Yew Foo, Pau Loke Show, Man Kee Lam, Mee Kee Wong

Abstract readReview
In one paragraph

Review in Bioengineered, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kevin Tian Xiang TongDepartment of Chemical and Energy Engineering, Faculty of Engineering and Science, Curtin University Malaysia, Miri, Sarawak, Malaysia.ORCID 0000-0001-6687-3961
Inn Shi TanDepartment of Chemical and Energy Engineering, Faculty of Engineering and Science, Curtin University Malaysia, Miri, Sarawak, Malaysia.ORCID 0000-0003-1901-8211
Henry Chee Yew FooDepartment of Chemical and Energy Engineering, Faculty of Engineering and Science, Curtin University Malaysia, Miri, Sarawak, Malaysia.ORCID 0000-0002-7831-9105
Pau Loke ShowDepartment of Chemical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-0913-5409
Man Kee LamChemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.ORCID 0000-0002-5517-1072
Mee Kee WongPETRONAS Research Sdn Bhd, Kajang, Selangor, Malaysia.ORCID 0000-0003-4470-0386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The imminent need for transition to a circular biorefinery using microbial fuel cells (MFC), based on the valorization of renewable resources, will ameliorate the carbon footprint induced by industrialization. MFC catalyzed by bioelectrochemical process drew significant attention initially for its exceptional potential for integrated production of biochemicals and bioenergy. Nonetheless, the associated costly bioproduct production and slow microbial kinetics have constrained its commercialization. This review encompasses the potential and development of macroalgal biomass as a substrate in the MFC system for L-lactic acid (L-LA) and bioelectricity generation. Besides, an insight into the state-of-the-art technological advancement in the MFC system is also deliberated in detail. Investigations in recent years have shown that MFC developed with different anolyte enhances power density from several µW/m

Indexed as

Bioelectric Energy SourcesBiomassElectricityElectrodes3D printingbioelectricityelectrofermentationL-lactic acidmicrofluidic

Identifiers

PMID37482680
PMCPMC10367576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.