Evidence map›Paper›PMID 40389577›Full record

ArticleScientific reports2025

Rapid visual detection assay for Bactrocera dorsalis (Hendel) using recombinase polymerase amplification and CRISPR/Cas12b.

Chenyu Lv, Fengyue Zhang, Lili Ren, Pengyu Zhu, Xuejia Cheng, Xinyi Yang, Chongjian Chen, Bo Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Article
  2. A Species-SpecificBiology · 2026
    Article
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.

Chenyu LvInstitute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, 264003, Shandong Province, PR China.
Fengyue ZhangCollege of Life Science, Beijing Institute of Technology, Haidian District, No. 5 South Zhongguancun Street, Beijing, 100081, PR China.
Lili RenInstitute of Equipment Technology, Science and Technology Research Center of China Customs, Beijing, 100026, PR China.
Pengyu ZhuSynsortech Co., Ltd, Beijing, 102600, PR China.
Xuejia ChengSynsortech Co., Ltd, Beijing, 102600, PR China.
Xinyi YangInstitute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, 264003, Shandong Province, PR China.
Chongjian ChenSynsortech Co., Ltd, Beijing, 102600, PR China.
Bo LiuInstitute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, 264003, Shandong Province, PR China. liubo@bzmc.edu.cn.

Funding

National Natural Science Foundation of China no. 62272060 and 62272061
6 · The paper itself

Abstract

The oriental fruit fly Bactrocera dorsalis (Hendel) is considered as a quarantine pest in many countries and regions. Challenges remain in distinguishing this species with morphological similarities, especially in relevant development stages. In recent years, CRISPR/Cas12b genetic diagnostics has seen rapid advancements and offers an efficient tool for the identification of pathogens, viruses, and other genetic targets. Here we developed a new and rapid visual detection assay of B. dorsalis using recombinase polymerase amplification (RPA) and the CRISPR/Cas12b system. The system can detect different developmental stages of B. dorsalis within 30-35 min at 43 ℃ and the results are easily observed by the naked eye based on the color change in the tube during the reaction. The specificity and high sensitivity of this method was demonstrated, allowing for detection from 3.2 pg µL

Indexed as

CRISPR-Cas SystemsNucleic Acid Amplification TechniquesRecombinasesTephritidaeAnimalsSensitivity and SpecificityRecombinasesBactrocera dorsalis (Hendel)CRISPR/Cas12bOriental fruit flyPest controlRPA

Identifiers

PMID40389577
PMCPMC12089522

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Registered trials

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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.