ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2023
Partitioning Recovery of Natural Pigments from Spirulina platensis.
Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Ultrasound-Assisted Extraction ofMolecules (Basel, Switzerland) · 2025Article
- Chlorophylls and β-carotene in Spirulina platensis Dietary Supplements: Nano Liquid Chromatography Versus Diffuse Reflectance Spectroscopy for Establishing Composition, Quality Control, and Comparison of Commercial Products.Journal of separation science · 2025Article
- Phycocyanin extraction fromCurrent research in food science · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last few decades, the recovery of high-added value compounds with high food potential using microalgae as feedstock has been one of the main challenges for both research and industry. This study provides a simple, affordable, and cost-saving approach for the selective recovery of C-phycocyanin (C-PC), chlorophyll a and carotenoids from Spirulina platensis biomass by using biocompatible and industrially approved solvents (such as CaCl
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Registered trials
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.