Evidence map›Paper›PMID 41527500›Full record

ReviewACS nano2026

CRISPR-on-Chip for Point-of-Care Diagnostics.

Nazente Atceken, Alptekin Kahya, Defne Yigci, Savas Tasoglu

Abstract readReview
In one paragraph

Review in ACS nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. CRISPR/Cas Systems: Biological Basis and Genome Editing Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
  2. Review
  3. CRISPR Diagnostics, in Your Pocket.Journal of medical Internet research · 2026
    Article
  4. 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

4 authors.

Nazente AtcekenSchool of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Turkey.ORCID 0000-0002-2020-9659
Alptekin KahyaSchool of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Turkey.
Defne YigciSchool of Medicine, Koç University, Istanbul 34450, Turkey.
Savas TasogluSchool of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Turkey.ORCID 0000-0003-4604-217X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR-based diagnostic platforms have gained significant momentum in recent years, enabling highly sensitive and specific detection of pathogens and diseases. Due to their practical benefits, these platforms have become widely adopted in point-of-care (PoC) applications. CRISPR-on-chip technology integrates CRISPR-Cas platforms with diverse microfluidic systems, allowing scalability and portable, real-time, and precise biomolecule detection. This approach enhances diagnostic accuracy, reduces processing times, and minimizes the need for complex laboratory infrastructures, unlike in conventional diagnostics. Using CRISPR-Cas enzymes in microfluidic systems, CRISPR-on-chip platforms offer key advantages such as single-molecule sensitivity, multiplex detection, and applicability. However, integration with microfluidics for PoC applications is still poorly understood, despite CRISPR-Cas being widely used. This study reviews recent developments in CRISPR-on-chip-based diagnostics and highlights its potential applications in infectious diseases, biosensors, and personalized medicine. Furthermore, challenges and future perspectives in achieving an ideal diagnostic solution are discussed.

Indexed as

CRISPR-Cas SystemsLab-On-A-Chip DevicesPoint-of-Care SystemsBiosensing TechniquesHumansMicrofluidic Analytical TechniquesPrecision MedicineRapid Diagnostic TestsCRISPR-based diagnosticCRISPR-on-chip technologymicrofluidicspoint-of-care (PoC)

Identifiers

PMID41527500
PMCPMC12854756

What OpenQuestion 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 OpenQuestion graph.