Evidence map›Paper›PMID 31394865›Full record

ReviewCells2019

Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity.

Mutah Musa, Godwin A Ayoko, Andrew Ward, Christine Rösch, Richard J Brown, Thomas J Rainey

Abstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Molecules (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Review
  7. Xanthophyll-Rich Extract ofMolecules (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Effect ofAnimals : an open access journal from MDPI · 2023
    Article
  10. Article
  11. Review
  12. Bioplastic Production from Microalgae: A Review.International journal of environmental research and public health · 2020
    Review
  13. Article
  14. Review
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.

Mutah MusaBiofuel Engine Research Facility, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Queensland 4000, Australia. ml.musa@qut.edu.au.
Godwin A AyokoEnvironmental Technologies Discipline, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Queensland 4000, Australia.
Andrew WardQueensland Urban Utilities (QUU), Innovation Centre, Main Beach Road Myrtletown QLD 4008, Australia.
Christine RöschInstitute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany.
Richard J BrownBiofuel Engine Research Facility, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Queensland 4000, Australia.
Thomas J RaineyBiofuel Engine Research Facility, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Queensland 4000, Australia. t.rainey@qut.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgae are swift replicating photosynthetic microorganisms with several applications for food, chemicals, medicine and fuel. Microalgae have been identified to be suitable for biofuels production, due to their high lipid contents. Microalgae-based biofuels have the potential to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. However, the present state of technology does not economically support sustainable large-scale production. The biofuel production process comprises the upstream and downstream processing phases, with several uncertainties involved. This review examines the various production and processing stages, and considers the use of chemometric methods in identifying and understanding relationships from measured study parameters via statistical methods, across microalgae production stages. This approach enables collection of relevant information for system performance assessment. The principal benefit of such analysis is the identification of the key contributing factors, useful for decision makers to improve system design, operation and process economics. Chemometrics proffers options for time saving in data analysis, as well as efficient process optimization, which could be relevant for the continuous growth of the microalgae industry.

Indexed as

BiofuelsMicroalgaeBiofuelsbiofuelsbiorefinerychemometricslipidsmicroalgaemultivariate analysispattern recognitionprocess optimization

Identifiers

PMID31394865
PMCPMC6721732

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.