Evidence map›Paper›PMID 40558356›Full record

ReviewBiomimetics (Basel, Switzerland)2025

Comparative Analysis of Highly Purified Sericin and Waste-Derived Sericin: Implications for Biomedical Applications.

Federica Paladini, Fabiana D'Urso, Angelica Panico, Carmen Lanzillotti, Francesco Broccolo, Mauro Pollini

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Federica PaladiniDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-3647-6353
Fabiana D'UrsoDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-4096-8094
Angelica PanicoCaresilk S.r.l.s., Via Monteroni c/o Technological District DHITECH, 73100 Lecce, Italy.
Carmen LanzillottiCaresilk S.r.l.s., Via Monteroni c/o Technological District DHITECH, 73100 Lecce, Italy.
Francesco BroccoloDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-1297-2598
Mauro PolliniDepartment of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-2557-6471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sericin, a natural glycoprotein constituting 20-30% of the silk cocoon, has emerged as a promising biomaterial due to its excellent biological properties, including biocompatibility, antioxidant properties and potential applications in regenerative medicine. The quality and the features of sericin are strongly dependent on the extraction and purification methods, which can employ mild conditions to preserve the molecular integrity of the protein or recovery techniques from waste streams produced during the industrial degumming processes. The silk industry prioritizes fiber yield over protein preservation, so often harsh alkaline conditions at high temperatures are adopted. These divergent approaches result in fundamentally different products with distinct molecular characteristics and functional capabilities. This review comprehensively examines the current technological approaches for sericin extraction techniques and for its recovery from textile industry waste, focusing on how these aspects affect the biological properties of the protein and the potential applications.

Indexed as

biomaterialsprotein purificationsericinsilk proteintissue engineeringwaste valorization

Identifiers

PMID40558356
PMCPMC12190292

What OpenQuestion holds

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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.