Evidence map›Paper›PMID 36979431›Full record

ArticleBiomolecules2023

Lyoprotectant Formulation and Optimization of the J-Aggregates Astaxanthin/BSA/Chitosan Nanosuspension.

Yingyuan Zhao, Zhaoxuan Wang, Shuxian Liu, Shiying Xie, Yinchun Xie, Ruifang Li, Hiroaki Oda

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In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 2Current drug delivery · 2025
    Article
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

7 authors.

Yingyuan ZhaoCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Zhaoxuan WangCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Shuxian LiuCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Shiying XieCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Yinchun XieCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Ruifang LiCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China.
Hiroaki OdaGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astaxanthin is a carotenoid with excellent antioxidant activity. However, this small lipid-soluble molecule is insoluble in water and has low stability. Although this situation can be improved when astaxanthin is prepared as a nanosuspension, the aqueous form is still not as convenient and safe as the dry powder form for storage, transport, and use. The lyophilization process provides better protection for thermosensitive materials, but this leads to collapse and agglomeration between nanoparticles. To improve this situation, appropriate lyophilization protectants are needed to offer support between the nanoparticles, such as sugars, amino acids, and hydroxy alcohols. The purpose of this work is to screen lyophilization protectants by single-factor experiments and response surface optimization experiments and then explore the optimal ratio of compound lyophilization protectants, and finally, make excellent astaxanthin/BSA/chitosan nanosuspension (ABC-NPs) lyophilized powder. The work shows that the optimal ratio of the compounding lyophilization protectant is 0.46% oligomeric mannose, 0.44% maltose, and 0.05% sorbitol (

Indexed as

ChitosanNanoparticlesFreeze DryingPowdersWaterXanthophyllsastaxanthineChitosanPowdersWaterXanthophyllsastaxanthin nanoparticlesfreeze-drying protectantlyophilization

Identifiers

PMID36979431
PMCPMC10046545

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Registered trials

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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.