Evidence map›Paper›PMID 39385036›Full record

ArticleNature2024

Robust chemical analysis with graphene chemosensors and machine learning.

Andrew Pannone, Aditya Raj, Harikrishnan Ravichandran, Sarbashis Das, Ziheng Chen, Collin A Price, Mahmooda Sultana, Saptarshi Das

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Engineering two-dimensional electronic biosensors.Nature reviews electrical engineering · 2026
    Article
  4. Review
  5. Article
  6. Electrochemical in-biosensing computing.National science review · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Controlled Growth of Graphene-Skinned AlAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  13. Optically Programmable Smart WSeACS applied materials & interfaces · 2025
    Article
  14. Confinement of ions within graphene oxide membranes enables neuromorphic artificial gustation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. 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.

Andrew PannoneEngineering Science and Mechanics, Penn State University, University Park, PA, USA.ORCID 0000-0001-8446-9946
Aditya RajEngineering Science and Mechanics, Penn State University, University Park, PA, USA.
Harikrishnan RavichandranEngineering Science and Mechanics, Penn State University, University Park, PA, USA.ORCID 0009-0002-2230-370X
Sarbashis DasElectrical Engineering, Penn State University, University Park, PA, USA.ORCID 0000-0003-4553-5693
Ziheng ChenEngineering Science and Mechanics, Penn State University, University Park, PA, USA.
Collin A PriceEngineering Science and Mechanics, Penn State University, University Park, PA, USA.ORCID 0009-0001-2718-276X
Mahmooda SultanaPlanetary Environments Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Saptarshi DasEngineering Science and Mechanics, Penn State University, University Park, PA, USA. sud70@psu.edu.ORCID 0000-0002-0188-945X

Funding

NASA Space Technology Graduate Research Opportunity
6 · The paper itself

Abstract

Ion-sensitive field-effect transistors (ISFETs) have emerged as indispensable tools in chemosensing applications

Indexed as

Chemistry Techniques, AnalyticalGraphiteMachine LearningTransistors, ElectronicDatasets as TopicEnvironmental MonitoringFood ContaminationFood SafetyFraudHumansNeural Networks, ComputerGraphite

Identifiers

What OpenQuestion holds

Textmetadata
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.