Evidence map›Paper›PMID 41608958›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Droplet Digital CRISPR for Nucleic Acid Detection.

Yang Zhang, Roy S K Walker, Anwar Sunna, Tracie J Barber, Ming Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Review
  2. 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

5 authors.

Yang ZhangSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3534-8133
Roy S K WalkerARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0960-4591
Anwar SunnaSchool of Natural Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-1467-9937
Tracie J BarberSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, Australia.
Ming LiSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-7450-6205

Funding

Australian Research Council DP200102269Australian Research Council DP240100795National Health and Medical Research Council GNT2017679
6 · The paper itself

Abstract

Droplet digital (dd) clustered regularly interspaced short palindromic repeats (CRISPR) integrates the high sequence specificity of CRISPR-based nucleic acid detection with the absolute quantification capability of digital droplet microfluidics, offering high sensitivity, precision, and scalability. By partitioning samples into thousands to millions of picoliter microdroplets, ddCRISPR enables single-molecule resolution and minimizes background interference. This review summarizes the principles of droplet generation, manipulation, and detection in ddCRISPR platforms, as well as recent advances in amplification-based and amplification-free detection strategies. Representative applications are highlighted for viral, bacterial, and other DNA/RNA biomarker detection. Current challenges, including workflow automation, droplet stability, multiplexing, and assay portability, are discussed alongside future perspectives such as artificial intelligence (AI)-assisted analysis, point-of-care integration, and high-throughput multiplexed detection. These insights aim to guide the translation of ddCRISPR technologies from laboratory research to robust, scalable, and accessible diagnostic solutions.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsMicrofluidicsNucleic AcidsHumansNucleic Acidsabsolute quantificationCRISPR/Cas detectiondroplet digital microfluidicsnucleic acid biomarkers

Identifiers

PMID41608958
PMCPMC12970183

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.