Evidence map›Paper›PMID 42060146›Full record

ArticleBiotechnology letters2026

Optimization of microalgal growth parameters for enhanced biohydrogen production via biophotolysis in Chlorella sp.

Yi Jie Liew, Sie Yon Lau, Murat Yılmaz, Man Kee Lam, Jun Wei Lim

Abstract read
In one paragraph

Article in Biotechnology letters, 2026. 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

5 authors.

Yi Jie LiewChemical and Energy Engineering, Faculty of Engineering and Science, Curtin University Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia.
Sie Yon LauChemical and Energy Engineering, Faculty of Engineering and Science, Curtin University Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia. johnlsy@curtin.edu.my.
Murat YılmazDepartment of Chemistry and Chemical Processing Technologies, Bahçe Vocational School, Osmaniye Korkut Ata University, 80000, Osmaniye, Türkiye. muratyilmaz@osmaniye.edu.tr.
Man Kee LamChemical Engineering Department, Universiti Teknologi Petronas, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia.
Jun Wei LimHICoE-Centre for Biofuel and Biochemical Research, Institute of Self-Sustainable Building, Universiti Teknologi Petronas, 32610, Seri Iskandar, Perak, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing reliance on fossil fuels for global energy production has intensified greenhouse gas emissions, highlighting the need for sustainable energy alternatives. Hydrogen is considered a promising green fuel due to its high energy density and conversion efficiency. Among various production pathways, microalgae-based biohydrogen generation via biophotolysis is particularly attractive owing to its high biomass productivity, adaptability to diverse water sources, flue gas mitigation potential, and low land requirements.This study investigates the effects of key microalgal growth parameters on biohydrogen production by Chlorella sp. through biophotolysis. The impacts of nitrogen purging during the transition from aerobic to anaerobic conditions, different photoperiod regimes (continuous illumination, continuous darkness, and a light-dark cycle), glucose supplementation (5, 10, and 15 g L⁻

Indexed as

ChlorellaHydrogenMicroalgaePhotolysisBiofuelsBiomassBioreactorsGlucoseLightNitrogenPhotoperiodTemperatureBiofuelsGlucoseHydrogenNitrogenBiohydrogenBiophotolysisCarbon sourceCell growthMicroalgaeNitrogen purgingPhotoperiod

Identifiers

PMID42060146
PMCPMC13132944

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.