Evidence map›Paper›PMID 41045221›Full record

ArticleJournal of the American Chemical Society2025

Controlling Selectivity in Electrochemical Conversion of Organic Mixtures through Dynamic Control of Electrode Microenvironments.

Ricardo Mathison, Elina Rani, Amelia M Rose, Fjona Prendi, Casey K Bloomquist, Miguel A Modestino

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Ricardo MathisonDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.ORCID 0000-0001-7093-5811
Elina RaniDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.
Amelia M RoseDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.
Fjona PrendiDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.
Casey K BloomquistDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.
Miguel A ModestinoDepartment of Chemical and Biomolecular Engineering, New York University, Brooklyn, New York 11201, United States.ORCID 0000-0003-2100-7335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic electrosynthesis using renewable electricity offers a sustainable approach to chemical manufacturing. Among its promising applications, the selective transformation of complex organic mixtures presents a valuable opportunity to eliminate costly separation processes and directly convert heterogeneous feedstocks to valuable products. However, controlling selectivity in reaction mixtures remains challenging due to competing reaction pathways and varying reactivities among substrates. Here, we demonstrate how selectivity in mixed organic electrosynthesis can be systematically controlled through a balance of reaction kinetics and mass transport limitations. Using acrylonitrile and crotononitrile mixtures as a model substrate mixture, we established quantitative relationships between substrate compositions, current densities, and product distributions that reveal distinct kinetically limited and mass transport-limited reaction regimes that control selectivity. We further demonstrated how pulsed electrolysis can be used to strategically control these reaction regimes to drive selectivity toward specific products. These insights create opportunities for developing adaptive and dynamic chemical manufacturing processes capable of handling complex feedstocks.

Identifiers

PMID41045221
PMCPMC12532195

What OpenQuestion holds

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Registered trials

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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.