Evidence map›Paper›PMID 39900924›Full record

ArticleNature communications2025

Diffusion-programmed catalysis in nanoporous material.

Suvendu Panda, Tanmoy Maity, Susmita Sarkar, Arun Kumar Manna, Jagannath Mondal, Ritesh Haldar

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Suvendu PandaTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India.
Tanmoy MaityTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India.ORCID http://orcid.org/0000-0003-1901-1060
Susmita SarkarTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India.
Arun Kumar MannaTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India.
Jagannath MondalTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India.
Ritesh HaldarTata Institute of Fundamental Research Hyderabad, Gopanpally, Hyderabad, 500046, Telangana, India. riteshhaldar@tifrh.res.in.ORCID http://orcid.org/0000-0001-9697-9169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realm of heterogeneous catalysis, the diffusion of reactants into catalytically active sites stands as a pivotal determinant influencing both turnover frequency and geometric selectivity in product formation. While accelerated diffusion of reactants can elevate reaction rates, it often entails a compromise in geometric selectivity. Porous catalysts, including metal-organic and covalent organic frameworks, confront formidable obstacles in regulating reactant diffusion rates. Consequently, the chemical functionality of the catalysts typically governs turnover frequency and geometric selectivity. This study presents an approach harnessing diffusion length to achieve improved selectivity and manipulation of reactant-active site residence time at active sites to augment reaction kinetics. Through the deployment of a thin film composed of a porous metal-organic framework catalyst, we illustrate how programming reactant diffusion within a cross-flow microfluidic catalytic reactor can concurrently amplify turnover frequency (exceeding 1000-fold) and enhance geometric selectivity ( ~ 2-fold) relative to conventional nano/microcrystals of catalyst in one-pot reactor. This diffusion-programed strategy represents a robust solution to surmount the constraints imposed by bulk nano/microcrystals of catalysts, marking advancement in the design of porous catalyst-driven organic reactions.

Identifiers

PMID39900924
PMCPMC11790907

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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.