Evidence map›Paper›PMID 42409644›Full record

ArticleNano letters2026

Optical Spectral Fingerprinting Enables Sensitive Detection of Anthracycline Chemotherapeutics in Synthetic Clinical Biofluids.

Atara R Israel, Yunjung Kim, Adnan Arnaout, Myesha Thahsin, Yumna Ahmed, Zachary Cohen, Amelia Ryan, Syeda Rahman, Mijin Kim, Ryan M Williams

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano letters, 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

5 · Who and what money

Authors and funding

10 authors.

Atara R IsraelDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Yunjung KimSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0009-4220-0370
Adnan ArnaoutDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Myesha ThahsinDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Yumna AhmedDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Zachary CohenDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Amelia RyanDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Syeda RahmanDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.
Mijin KimSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-7781-9466
Ryan M WilliamsDepartment of Biomedical Engineering, The City College of New York, New York, New York 10031, United States.ORCID 0000-0002-2381-8732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthracycline chemotherapeutics are common chemotherapeutics that have substantial toxicities. There is substantial interpatient pharmacokinetic variability, though there is no method to quantify organ or tumor exposure. Here, we exposed an optical nanosensor array to detect each of four anthracyclines. We screened 12 ssDNA sequences paired with seven single-walled carbon nanotube (

Indexed as

AnthracyclinesDNA, Single-StrandedDoxorubicinHumansNanotubes, CarbonAnthracyclinesDNA, Single-StrandedDoxorubicinNanotubes, Carboncardiotoxicitydoxorubicinmachine learningnear-infrared (NIR) fluorescencesingle-walled carbon nanotubesSWCNT

Identifiers

PMID42409644
PMCPMC13397890

What Socratic holds

Textmetadata
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 Socratic graph.