Evidence map›Paper›PMID 38018819›Full record

ReviewBioengineered2023

Databases for biomass and waste biorefinery - a mini-review and SWOT analysis.

Morgen Mukamwi, Tosin Somorin, Raimonda Soloha, Elina Dace

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Morgen MukamwiChemical & Process Engineering, University of Strathclyde, Glasgow, Scotland, UK.ORCID 0000-0001-9827-7830
Tosin SomorinChemical & Process Engineering, University of Strathclyde, Glasgow, Scotland, UK.ORCID 0000-0001-5466-5970
Raimonda SolohaInstitute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia.ORCID 0000-0003-3358-8261
Elina DaceInstitute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia.ORCID 0000-0002-7880-0820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is facing problems of the increasing amount of resources wasted as the world population grows. Biowaste streams form a significant part of the overall waste generation, and a circular economy utilizing this biowaste will significantly reduce waste whilst lowering the anthropogenic carbon footprint. Due to their energy content and high concentration of hydrocarbon molecules, bio-based waste streams have the potential to be transformed into valorized products (energy, fuels, and chemicals) using biorefinery technologies. In this work, a mini-review has been conducted on available, mostly European databases on existing biomass types and biorefinery technologies to provide a framework for a desirable, comprehensive database connecting bio-based waste streams, biorefinery technologies and bioproducts, as well as the geographical distribution of feedstocks and biorefineries. The database assessment utilized the SWOT (strengths, weakness, opportunities, threats) methodology to support benchmark analysis and to identify critical gaps in underlying data structures that could be included in a single database. The results show that current databases are useful but insufficient for waste biorefineries due to limited quality and quantity as well as the usability of data. A comprehensive database or improved database cluster would be necessary, not only for technology development but for better investment and policy decisions. The development of the new database architecture would need to incorporate the aspects: expansion of database scope and content depth, improved usability, accessibility, applicability, update frequency, openness to new contributions, process descriptions and parameters, and technology readiness level.

Indexed as

BiofuelsTechnologyBiomassBiofuelsBioproductsbiorefinerybiowastecircular bio-economyfeedstockSWOT methodology

Identifiers

PMID38018819
PMCPMC10761086

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.