Surface-Primed qPCR on Metal–Organic Frameworks for Extraction-Free Diagnostic Detection of Feline Calicivirus

Feline calicivirus (FCV) is a significant pathogen in cats, causing severe oral and respiratory diseases that threaten feline health. It is essential to find an efficient and rapid method for detecting FCV. Current detection methods, such as reverse transcription-quantitative polymerase chain reaction (RT-qPCR), are often labor-intensive and time-consuming. To overcome these limitations, this study developed a simplified mRNA detection method leveraging the multiadsorption properties of aptamers on metal-organic frameworks (MOFs). In this approach, RT-qPCR was performed on UiO-66 functionalized with reverse transcription (RT) primers that selectively hybridize to FCV RNA in biosamples. Nucleic acid amplification was initiated directly on the MOF surface, enabling quantitative analysis without prior RNA extraction. This method, termed surface-primed quantitative polymerase chain reaction (SP-qPCR), offers simple operation, ideal specificity, and high sensitivity with a limit of detection (LOD) of 1.91 copies/μL FCV in 90 min and excellent reproducibility (intra-assay and inter-assay coefficients of variation both less than 5%). Compared to commercial kits, SP-qPCR was faster and more cost-effective, eliminating the need for nucleic acid extraction. By integrating MOF-based sensing with qPCR, this strategy provides a rapid, efficient, and low-cost tool for FCV detection, with broad potential for clinical diagnostics.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-05-16
DOI
https://doi.org/10.1021/acs.analchem.6c00979
Primary Topic
Viral gastroenteritis research and epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface-Primed qPCR on Metal–Organic Frameworks for Extraction-Free Diagnostic Detection of Feline Calicivirus

Zhao‐Qing Shen, Huai‐Song Wang, LI Ying-nan, Yan Li et al.
Analytical Chemistry
Viral gastroenteritis research and epidemiology
article

Surface-Primed qPCR on Metal–Organic Frameworks for Extraction-Free Diagnostic Detection of Feline Calicivirus

Zhao‐Qing Shen, Huai‐Song Wang, LI Ying-nan, Yan Li, Ya Ding, Yue Wang, Zhi-Chao Lu, Yang Song, Rong Sun, Shi-Lin Chen, Jing-Lian Su, Jia-Lu Li
article en

Abstract

Feline calicivirus (FCV) is a significant pathogen in cats, causing severe oral and respiratory diseases that threaten feline health. It is essential to find an efficient and rapid method for detecting FCV. Current detection methods, such as reverse transcription-quantitative polymerase chain reaction (RT-qPCR), are often labor-intensive and time-consuming. To overcome these limitations, this study developed a simplified mRNA detection method leveraging the multiadsorption properties of aptamers on metal-organic frameworks (MOFs). In this approach, RT-qPCR was performed on UiO-66 functionalized with reverse transcription (RT) primers that selectively hybridize to FCV RNA in biosamples. Nucleic acid amplification was initiated directly on the MOF surface, enabling quantitative analysis without prior RNA extraction. This method, termed surface-primed quantitative polymerase chain reaction (SP-qPCR), offers simple operation, ideal specificity, and high sensitivity with a limit of detection (LOD) of 1.91 copies/μL FCV in 90 min and excellent reproducibility (intra-assay and inter-assay coefficients of variation both less than 5%). Compared to commercial kits, SP-qPCR was faster and more cost-effective, eliminating the need for nucleic acid extraction. By integrating MOF-based sensing with qPCR, this strategy provides a rapid, efficient, and low-cost tool for FCV detection, with broad potential for clinical diagnostics.

Analytical Chemistry
China Pharmaceutical University (CN), Wuhan University (CN), Wuhan Institute of Bioengineering (CN)
National Natural Science Foundation of China, Science and Technology Support Program of Jiangsu Province
Openalex Percentile: Top 5%
Viral gastroenteritis research and epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.