Evidence mapPaperPMID 39815030Full record

ReviewNatural products and bioprospecting2025

The need for smart microalgal bioprospecting.

Joan Labara Tirado, Andrei Herdean, Peter J Ralph

Abstract readReview
In one paragraph

Review in Natural products and bioprospecting, 2025. 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

3 authors.

Joan Labara TiradoFaculty of Science, Climate Change Cluster (C3), Algal Biotechnology & Biosystems, University of Technology Sydney, Sydney, NSW, 2007, Australia. Joan.labaratirado@student.uts.edu.au.ORCID http://orcid.org/0009-0001-3319-5612
Andrei HerdeanFaculty of Science, Climate Change Cluster (C3), Algal Biotechnology & Biosystems, University of Technology Sydney, Sydney, NSW, 2007, Australia. Andrei.herdean@uts.edu.au.ORCID http://orcid.org/0000-0003-2143-0213
Peter J RalphFaculty of Science, Climate Change Cluster (C3), Algal Biotechnology & Biosystems, University of Technology Sydney, Sydney, NSW, 2007, Australia.ORCID http://orcid.org/0000-0002-3103-7346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgae's adaptability and resilience to Earth's diverse environments have evolved these photosynthetic microorganisms into a biotechnological source of industrially relevant physiological functions and biometabolites. Despite this, microalgae-based industries only exploit a handful of species. This lack of biodiversity hinders the expansion of the microalgal industry. Microalgal bioprospecting, searching for novel biological algal resources with new properties, remains a low throughput and time-consuming endeavour due to inefficient workflows that rely on non-selective sampling, monoalgal culture status and outdated, non-standardized characterization techniques. This review will highlight the importance of microalgal bioprospecting and critically explore commonly employed methodologies. We will also explore current advances driving the next generation of smart algal bioprospecting focusing on novel workflows and transdisciplinary methodologies with the potential to enable high-throughput microalgal biodiscoveries. Images adapted from (Addicted04 in Wikipedia File: Australia on the globe (Australia centered).svg. 2014.; Jin et al. in ACS Appl Bio Mater 4:5080-5089, 2021; Kim et al. in Microchim Acta 189:88, 2022; Tony et al. in Lab on a Chip 15, 19:3810-3810; Thermo Fisher Scientific INC. in CTS Rotea Brochure).

Indexed as

BioprospectingFluorescent probingMicroalgae

Identifiers

PMID39815030
PMCPMC11735771

What Socratic 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 Socratic graph.