Evidence map›Paper›PMID 40232384›Full record

ArticleBioprocess and biosystems engineering2025

High-pressure treatment of the green and orange Dunaliella salina biomass: effect on particle size distribution, small amplitude oscillatory shear rheology, and microstructure.

Jasim Ahmed, Vanita Vinod Kumar, Vinod Kumar, Sabah AlMomin

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Article in Bioprocess and biosystems engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Jasim AhmedEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait. jahmed2k@yahoo.com.
Vanita Vinod KumarEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait.
Vinod KumarEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait.
Sabah AlMominEnvironment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait.

Funding

Kuwait Foundation for the Advancement of Sciences FM 114C
6 · The paper itself

Abstract

Dunaliella salina, a halophilic microalga, is well known for its ability to produce β-carotene and has significant commercial applications. The actively growing green culture turns to orange color due to photosensitization, during which there is a significant reduction in chlorophyll content (chlorophyll A and B: 16.04 and 2.80-1.70, 0.21 mg/g dry basis, respectively) with an increase in carotenoids (α- and β-carotenes: 1.60 and 4.81 mg/g dry basis). This change has been accompanied by a considerable variation in protein content (green: 34.27% and orange: 18.57%) and ash content (green: 38.37% and orange: 58.11%). To avoid extreme heat sensitivity, high-pressure (HP) processing, a nonthermal technology, has been applied to pigment-rich Dunaliella. This research aimed to examine the effects of HP treatment (300-600 MPa/15 min) on the rheological, structural, and particle size distribution of Dunaliella in two consecutive cell growth stages (e.g., green and orange). Oscillatory rheology data displayed a distinct protein denaturation at 57.87 °C for untreated green cells, whereas orange cells did not. Conversely, several denaturation peaks appeared in the HP-treated orange cell suspensions, and those peaks remained unaffected by pressure treatment. Isothermal heating exhibited liquid-like behavior for green cells, whereas the solid-like behavior was evident for orange cells. PSD displayed a shift of unimodal to bimodal distributions of Dunaliella cells after the HP treatment. Orange cells exhibited PSD parameters of Dv

Indexed as

BiomassChlorophyceaeMicroalgaeRheologybeta CaroteneChlorophyllParticle SizePressurebeta CaroteneChlorophyllComplex viscosityDunaliellaHigh-pressure treatmentParticle size distributionX-ray diffraction

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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.