Evidence map›Paper›PMID 41907496›Full record

ArticleACS central science2026

Roblonski: A Material-Efficient Robo-Fluidic Toolbox for Rapid Photochemical Characterization.

Azka Arshad, Richard B Canty, Evgeny O Danilov, Milad Abolhasani, Felix N Castellano

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS central science, 2026. 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. 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

5 authors.

Azka ArshadDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, United States.ORCID https://orcid.org/0000-0002-6917-2869
Richard B CantyDepartment of Chemical and Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID https://orcid.org/0000-0002-2347-2743
Evgeny O DanilovDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, United States.ORCID https://orcid.org/0000-0002-5551-3749
Milad AbolhasaniDepartment of Chemical and Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID https://orcid.org/0000-0002-8863-3085
Felix N CastellanoDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, United States.ORCID https://orcid.org/0000-0001-7546-8618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable photochemical and photophysical characterization is essential for understanding and optimizing photocatalytic processes; however, traditional, manual spectroscopic methods for determining bimolecular photoreaction quenching constants, molar extinction coefficients, and photoluminescence quantum yields (PLQYs) are time-, cost-, material-, and labor-intensive and generate considerable chemical waste. Herein, we report Roblonski, a compact, material-efficient microfluidic robotic platform that automates these three foundational photochemical assays with high precision, reproducibility, and accuracy. Using Ru-(bpy)

Identifiers

PMID41907496
PMCPMC13022720

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.