Evidence map›Paper›PMID 42891177›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2026

Semiautomated Synthesis and Interactive Visualization of Zeolitic Imidazolate Framework-Based Biocomposites.

Xue Chen, Aleksandar Kondinski, Jing Yang, Helmar Wiltsche, Bernd Nidetzky, Francesco Carraro, Paolo Falcaro

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xue ChenInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.
Aleksandar KondinskiInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.
Jing YangInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.
Helmar WiltscheInstitute of Analytical Chemistry and Food Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.
Bernd NidetzkyInstitute of Biotechnology and Biochemical Engineering, Graz University of Technology, Petersgasse 12/1, Graz 8010, Austria.ORCID https://orcid.org/0000-0002-5030-2643
Francesco CarraroInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.ORCID https://orcid.org/0000-0001-8485-4676
Paolo FalcaroInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria.ORCID https://orcid.org/0000-0001-5935-0409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zeolitic imidazolate framework (ZIF) biocomposites are widely studied for their potential in biocatalysis and biomedicine. However, their preparation is highly sensitive to precursor composition, concentration, washing conditions, and operator-dependent handling procedures. Here, we combine a semiautomated syringe-pump system, high-throughput sample preparation, and digital data visualization to map synthesis-structure-property relationships in ZIF biocomposites. A programmable four-syringe pump platform was used to systematically prepare 360 distinct samples in triplicate, yielding 1080 samples. The investigated synthetic parameters were relative amounts of metal, ligand, protein, the total precursor concentration, and the washing protocol. Structural, chemical, and functional characterization yielded a data set of ∼2250 entries comprising crystalline-to-amorphous ratios, IR-based protein-to-framework ratios, encapsulation efficiency, and loading capacity. We note that exploring such a large data set manually can be challenging and that current static visualizations can hide meaningful trends. With the aim of enabling a customized and interactive exploration of the data, we designed the ZIF Biocomposite Explorer App (ZIF-BEA), which supports user-defined navigation in the space of the variables, providing direct access to experimental data and material properties. We anticipate that integrating large experimental data sets with interactive digital platforms may expedite the design of MOF-based biocomposites, while providing a transferable tool for the exploration of other classes of functional materials.

Identifiers

PMID42891177
PMCPMC13673939

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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.