Evidence map›Paper›PMID 41037438›Full record

ArticleJournal of the American Chemical Society2025

Determination of the Generation Efficiency and Reductive Reactivity of the Upconverted Hot Electrons from Mn-Doped Quantum Dots under Weak Visible Light.

Connor Orrison, Ian C Schulze, Zefan Zhang, Dallas Freitas, Ian Murray, Xin Yan, Christian Hilty, Dong Hee Son

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 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. 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

8 authors.

Connor OrrisonDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Ian C SchulzeDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Zefan ZhangDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Dallas FreitasDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0003-2957-4158
Ian MurrayDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Xin YanDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-8292-130X
Christian HiltyDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0003-2539-2568
Dong Hee SonDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0001-9002-5188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hot electrons generated via Mn-mediated Auger upconversion in Mn-doped quantum dots (QDs) have been shown to be highly effective for reduction reactions that require high reduction potentials and long-range electron transfer. Due to their high energy, these electrons can drive reduction reactions in the solution phase through multiple pathways, including interfacial hot electron transfer on the QD surface and reduction by presolvated and solvated electrons within the solvent. Despite their demonstrated ability to drive challenging reactions, the efficiency of generating upconverted hot electrons under continuous-wave (cw) visible light excitation remains largely unknown. Here, we quantified the quantum yield of hot electron generation from Mn-doped CdSSe/ZnS QDs under continuous white light (455 nm) in aqueous media using the reductive dechlorination of monochloroacetate (MCA) as a hot electron-selective reaction. We found that the quantum yield for hot electron upconversion can reach 35-40% at an excitation intensity of ∼0.1 W/cm

Identifiers

PMID41037438
PMCPMC12532206

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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.