Evidence map›Paper›PMID 41604014›Full record

ArticleMikrochimica acta2026

Red and blue microspheres based immunoassay combined with RPA and Cas12a for dual-detection of nucleic acid from foodborne pathogens.

Lemei Zhu, Jinbin Wang, Xi Li, Hui Zhen, Ziyi Gu, Laifa Wang, Pingping Bing, Haijuan Zeng

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Article in Mikrochimica acta, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lemei Zhu *Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Jinbin Wang *Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Xi LiHunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Hui ZhenHunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Ziyi GuHunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Laifa WangHunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China.
Pingping BingGuangzhou College of Commerce, Guangzhou, 511363, China. bpping@163.com.
Haijuan ZengHunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Public Health, Changsha Medical University, Changsha, 410219, China. zenghaijuan12@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A visual and dual-targets detection platform for Staphylococcus aureus and Vibrio parahaemolyticus was established based on recombinant polymerase amplification (RPA), CRISPR/Cas12a and lateral flow test strip. The test strip was constructed using multicolored microspheres labeling antibody as tracer, and the results of detection of two kinds of bacteria could be displayed by different colored test lines on the test strip through the antigen-antibody specific recognition function, which realized results visualization and avoid cross-reaction. Due to the target-specific amplification of RPA and the sequence-specific recognition of Cas12a, the detection strategy could still show good sensitivity, specificity and accuracy in complex matrices. The visual limit of detection was as low as 50 CFU/mL, and the entire detection process could be completed within 42 min. In conclusion, a rapid and efficient detection platform for Staphylococcus aureus and Vibrio parahaemolyticus was developed, and this method is expected to provide a solution for the on-site detection of other foodborne pathogens in market and environmental food by simply changing the labeled antibody.

Indexed as

Bacterial ProteinsCRISPR-Associated ProteinsDNA, BacterialEndodeoxyribonucleasesMicrospheresNucleic Acid Amplification TechniquesStaphylococcus aureusVibrio parahaemolyticusFood MicrobiologyImmunoassayLimit of DetectionRapid Diagnostic TestsBacterial ProteinsCas12a proteinCRISPR-Associated ProteinsDNA, BacterialEndodeoxyribonucleasesCRISPR/Cas12aMulticolored lateral flow test stripSimultaneous detectionStaphylococcus aureusVibrio parahaemolyticus

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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.