Evidence map›Paper›PMID 40589139›Full record

ArticleJournal of peptide science : an official publication of the European Peptide Society2025

Toward a Green SPPS: The Use of an Innovative Mesoporous pDVB Support for Environmentally Friendly Solvents.

Luana Lastella, Marco Zecca, Paolo Centomo, Karel Jeřábek, Fernando Formaggio, Ivan Guryanov, Antonio Ricci, Barbara Biondi

Abstract read
In one paragraph

Article in Journal of peptide science : an official publication of the European Peptide Society, 2025. 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. Article
  2. Toward a Green SPPS: The Use of an Innovative Mesoporous pDVB Support for Environmentally Friendly Solvents.Journal of peptide science : an official publication of the European Peptide Society · 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

8 authors.

Luana LastellaDepartment of Chemical Sciences, University of Padova, Padova, Italy.
Marco ZeccaDepartment of Chemical Sciences, University of Padova, Padova, Italy.
Paolo CentomoDepartment of Chemical Sciences, University of Padova, Padova, Italy.
Karel JeřábekInstitute of Chemical Process Fundamentals of the CAS, v.v.i, Prague, Czech Republic.
Fernando FormaggioDepartment of Chemical Sciences, University of Padova, Padova, Italy.
Ivan GuryanovInstitute of Chemistry, St. Petersburg State University, St. Petersburg, Russia.ORCID https://orcid.org/0000-0001-6897-3528
Antonio RicciFresenius Kabi Ipsum, Rovigo, Italy.
Barbara BiondiPadova Unit, Institute of Biomolecular Chemistry, Padova, Italy.ORCID https://orcid.org/0000-0003-2393-7333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the use of a novel polymeric mesoporous support (pDVB) for solid-phase peptide synthesis (SPPS), with the aim of improving the efficiency and sustainability of the process. The pDVB support, functionalized with the Fmoc-Rink amide linker, offers advantages over conventional supports based on gel-type, lightly crosslinked polymer skeletons, particularly with regard to reduced reliance on swelling capacity, which allows the use of a wider range of solvents. The work focuses on greener and eco-friendly solvents such as TEP, ACN, IPA, and their mixtures with DMSO to replace toxic solvents such as DMF. The synthesis of two model peptide sequences, Fmoc-LLVF-NH

Indexed as

Green Chemistry TechnologyPeptidesPolymersSolid-Phase Synthesis TechniquesSolventsPorosityPeptidesPolymersSolvents

Identifiers

PMID40589139
PMCPMC12209690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.