Evidence map›Paper›PMID 40690197›Full record

ReviewBiopolymers2025

Upcycling Eggshell Matrix for Sustainable Production of Glycosaminoglycans.

Emmanuel Cobbinah-Sam, Idaresit Ekaette

Abstract readReview
In one paragraph

Review in Biopolymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Emmanuel Cobbinah-SamDepartment of Bioresource Engineering, McGill University, Quebec, Canada.
Idaresit EkaetteDepartment of Bioresource Engineering, McGill University, Quebec, Canada.ORCID https://orcid.org/0009-0005-2254-9584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosaminoglycans (GAGs) are biomolecules with applications in the pharmaceutical, cosmetic, and nutraceutical industries. However, traditional GAG sources, such as animal tissues and marine organisms, present imminent challenges, including structural heterogeneity, contamination risk, and geographical sourcing limitations. This review explores the potential of the eggshell matrix, an abundant yet underutilized by-product of the egg industry, as a sustainable and cost-effective alternative source of GAG production. This review examined the composition of the eggshell matrix, highlighting its rich content of hyaluronic acid, chondroitin sulfate, and other valuable GAGs, coupled with their extraction and purification techniques. The advantages of eggshell matrix-derived GAGs, including their consistent molecular properties, lower allergenicity, and alignment with circular economy principles, are also discussed. Additionally, this review highlights the industrial scalability of eggshell matrix valorization and its potential to mitigate environmental waste while meeting global GAG demand. The eggshell matrix shows promise for GAG production, with hyaluronic acid, chondroitin sulfate, and dermatan sulfate already identified, but more work is needed to improve extraction efficiency, broaden industrial uses, and ensure commercial success. This represents the broad areas of process optimization, technological integration, and comprehensive economic evaluation. By addressing current challenges and future research directions, this review underscores the transformative potential of eggshell matrix-derived GAGs for advancing sustainable biomaterial production.

Indexed as

Egg ShellGlycosaminoglycansAnimalsChondroitin SulfatesHumansHyaluronic AcidChondroitin SulfatesGlycosaminoglycansHyaluronic Acidagro‐food wastebiopolymerseggshellglycosaminoglycansmaterial recyclingsustainability

Identifiers

PMID40690197
PMCPMC12279042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.