Evidence map›Paper›PMID 42156713›Full record

ArticleMicrosystems & nanoengineering2026

Ultrasensitive, low-input detection of avocado sunblotch viroid via RPA-CRISPR and nanopore-array single-bead fluorescence readout.

Jiayi Xu, Xiaoqian Jiang, Mehdi Kamali Dashtarzhaneh, Yiding Zhong, Bhaskar Sharma, Ruonan Peng, Liangwei Zheng, Fatemeh Khodadadi, Ke Du, Chuanhua Duan

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Jiayi Xu *Division of Materials Science & Engineering, Boston University, Boston, MA, 02215, USA.
Xiaoqian Jiang *Department of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.ORCID http://orcid.org/0009-0000-0712-2164
Mehdi Kamali Dashtarzhaneh *Department of Microbiology and Plant Pathology, University of California, Riverside, CA, 92557, USA.
Yiding ZhongDepartment of Mechanical Engineering, Boston University, Boston, MA, 02215, USA.
Bhaskar SharmaDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.ORCID http://orcid.org/0000-0001-8541-5333
Ruonan PengDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.
Liangwei ZhengDepartment of Mechanical Engineering, Boston University, Boston, MA, 02215, USA.
Fatemeh KhodadadiDepartment of Microbiology and Plant Pathology, University of California, Riverside, CA, 92557, USA. fatemehk@ucr.edu.
Ke DuDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA. ke.du@ucr.edu.
Chuanhua DuanDivision of Materials Science & Engineering, Boston University, Boston, MA, 02215, USA. duan@bu.edu.ORCID http://orcid.org/0000-0002-5453-5321

Funding

United States Department of Agriculture | National Institute of Food and Agriculture (NIFA) 2024-67014-42672
6 · The paper itself

Abstract

Rapid and sensitive detection of plant pathogens, such as the Avocado Sunblotch Viroid (ASBVd), is essential for early disease management and agricultural biosecurity. Yet, most current diagnostic methods not only require relatively large sample inputs but also often lack the ultrasensitivity required for reliable detection with scarce or minimally collected plant material. Here, we report a novel low-input but ultrasensitive diagnostic platform that integrates isothermal recombinase polymerase amplification (RPA), CRISPR-Cas12a detection, and a solid-state nanopore array for the detection of ASBVd. The system leverages CRISPR-Cas12a collateral cleavage activity to generate single-bead fluorescent signals, which are captured by a nanopore array through pressure-driven blockage. Our platform achieves a detection limit down to 1.68 copies/μL while using only 40 nL of bead-fluorophore mixture per readout, which is over 100-fold less than conventional assays based on fluorescent readout using an imaging reader, enabling detection from minimal avocado sample collection. We demonstrate robust binary classification of ASBVd-positive and -negative samples from multiple avocado tissue types and orchards in California. The assay requires just 60 min and operates entirely under isothermal conditions, avoiding the need for bulky PCR instruments and supporting on-site deployment with minimal equipment. This method provides a promising platform for field-deployable, ultrasensitive, and low-input diagnostics of viroids and other low-titer pathogens in plant or clinical settings.

Identifiers

PMID42156713
PMCPMC13187296

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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.