Evidence map›Paper›PMID 38812984›Full record

ArticleFrontiers in fungal biology2024

Characterization of melanin from

Cristy Medina-Armijo, Ibraheem Yousef, Antonio Berná, Anna Puerta, Abraham Esteve-Núñez, Marc Viñas, Francesc X Prenafeta-Boldú

Abstract read
In one paragraph

Article in Frontiers in fungal biology, 2024. 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. Review
  2. Review
  3. 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.

Cristy Medina-ArmijoProgram of Sustainability in Biosystems, Institute of Agrifood Research and Technology (IRTA), Caldes de Montbui, Catalonia, Spain.
Ibraheem YousefMIRAS Beamline, ALBA Synchrotron Light Source, Cerdanyola del Vallés, Catalonia, Spain.
Antonio BernáIMDEA WATER, Alcalá de Henares, Madrid, Spain.
Anna PuertaProgram of Sustainability in Biosystems, Institute of Agrifood Research and Technology (IRTA), Caldes de Montbui, Catalonia, Spain.
Abraham Esteve-NúñezDepartment of Chemical Engineering, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
Marc ViñasProgram of Sustainability in Biosystems, Institute of Agrifood Research and Technology (IRTA), Caldes de Montbui, Catalonia, Spain.
Francesc X Prenafeta-BoldúProgram of Sustainability in Biosystems, Institute of Agrifood Research and Technology (IRTA), Caldes de Montbui, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introducion: Fungal melanin is an underexplored natural biomaterial of great biotechnological interest in different areas. This study investigated the physical, chemical, electrochemical, and metal-binding properties of melanin extracted from the metallotolerant black fungus Materials and methods: Specific inhibitory studies with tricyclazole and biochemical profiling of whole cells by synchrotron radiation-based Fourier-transform infrared spectral microscopy (SR-FTIRM) were performed. An optimized extraction protocol was implemented, and purified fungal melanin was characterized using an array of spectrophotometric techniques (UV-Vis, FTIR, and EPR) and by cyclic voltammetry (CV) experiments. The metal-binding capacity of melanin extracts was also assessed by using Cr(VI) as a model heavy metal. Results: Inhibitory studies indicated that 1,8-dihydroxynaphthalene may be the main precursor molecule of Discussion: The obtained results provided further evidence for the DHN-nature of

Indexed as

bioelectroconductivitydihydroxynaphthaleneextremophilic black fungiFTIR chemical profilingfungal melaninmetal biosorptionnatural biomaterials

Identifiers

PMID38812984
PMCPMC11134573

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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.