Evidence map›Paper›PMID 41614150›Full record

ReviewJACS Au2026

Aqueous Continuous Flow Synthesis of Cadmium Chalcogenide Quantum Dots: Opportunities and Challenges.

Carlotta Campalani, Guillaume Petit, Jean-Christophe M Monbaliu

Abstract readReview
In one paragraph

Review in JACS Au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Carlotta CampalaniCenter for Integrated Technology and Organic Synthesis (CiTOS), MolSys Research Unit, University of Liège, Allée du Six Août 13 (B6a), Liège (Sart Tilman) B-4000, Belgium.
Guillaume PetitCenter for Integrated Technology and Organic Synthesis (CiTOS), MolSys Research Unit, University of Liège, Allée du Six Août 13 (B6a), Liège (Sart Tilman) B-4000, Belgium.
Jean-Christophe M MonbaliuCenter for Integrated Technology and Organic Synthesis (CiTOS), MolSys Research Unit, University of Liège, Allée du Six Août 13 (B6a), Liège (Sart Tilman) B-4000, Belgium.ORCID https://orcid.org/0000-0001-6916-8846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cadmium chalcogenide quantum dots (CdX QDs, X = S, Se, Te) are among the most extensively studied semiconductor nanocrystals due to their size-tunable optical properties and wide potential applications in optoelectronics, bioimaging, and sensing. While early syntheses relied on high-temperature organometallic routes in organic solvents, the demand for safer, greener, and more biocompatible approaches has driven increasing interest in aqueous-based methods. These two strategies differ substantially in terms of precursor chemistry, surface passivation, and control over nanocrystal quality. In parallel, continuous flow technology has brought transformative assets to the field, offering precise reaction control, scalability, and reproducibility, which are essential for both fundamental studies and industrial translation. This review summarizes the evolution of CdX QDs synthesis, contrasting organic and aqueous batch approaches, and focuses on recent advances in aqueous continuous flow strategies. Finally, we highlight perspectives on the integration of automated machine learning and artificial intelligence approaches with continuous flow, which may accelerate the discovery, optimization, and scalable production of high-quality QDs for next-generation technologies.

Indexed as

aqueouscadmium chalcogenidescontinuous flowmicrofluidicnanocrystalsquantum dots

Identifiers

PMID41614150
PMCPMC12848687

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.