Evidence map›Paper›PMID 40076077›Full record

ArticlePolymers2025

Size-Exclusion Chromatography of Macromolecules: A Brief Tutorial Overview on Fundamentals with Computational Tools for Data Analysis and Determination of Structural Information.

José Ginés Hernández-Cifre, Mar Collado-González, Francisco Guillermo Díaz Baños, José García de la Torre

Abstract read
In one paragraph

Article in Polymers, 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

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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

4 authors.

José Ginés Hernández-CifreDepartment of Physical Chemistry, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0003-1764-5748
Mar Collado-GonzálezDepartment of Cellular Biology and Histology, University of Murcia, 30100 Murcia, Spain.
Francisco Guillermo Díaz BañosDepartment of Physical Chemistry, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0001-8473-1190
José García de la TorreDepartment of Physical Chemistry, University of Murcia, 30100 Murcia, Spain.

Funding

European Union ''NextGenerationEU/PRTR" TED2021-130334B-I00Fundación Séneca - Agencia de Ciencia y Tecnología de la Región de Murcia 22010/JLI/22Ministerio de Ciencia, Innovación y Universidades RYC2021-034184-I
6 · The paper itself

Abstract

Size-exclusion chromatography (SEC) is presently a widely used and very informative technique for the characterization of macromolecules in solution. Beyond the first implementations of SEC-which required cumbersome column calibrations and were mainly intended for the determination of molecular weights-the modern SEC approach involving multiple detectors (md-SEC) is based on solution properties such as intrinsic viscosity and light scattering. Thus, md-SEC enables the direct and more efficient determination of molecular weights, as well as the determination of relationships between property and molecular weight, which can be quite useful in structural studies. Here, we first present a review of the fundamental aspects of the dilute-solution properties of macromolecules-particularly the differential refractive index, intrinsic viscosity, and scattering-related properties-on which the various detectors involved in md-SEC are based. Then, we developed SECtools, a suite of public-domain, open-source computer programs, which allow for the full analysis of md-SEC chromatograms. These analyses range from just the recorded raw signals (mV) of the detectors to a full determination of molecular weight averages and distributions. The use of these programs is illustrated through experimental studies using various samples.

Indexed as

chromatographycomputationmolecular weightsize exclusionstructure

Identifiers

PMID40076077
PMCPMC11902525

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