Real-Time Fluorescence Aptasensor Based on Programmable Switch-Coupled Exponential Amplification Transduction for Ultrasensitive and Specific <i>Vibrio parahemolyticus</i> Determination
The accurate and early detection of <i>Vibrio parahemolyticus (V. parahemolyticus)</i> is crucial for ensuring food safety and protecting consumer health. However, current detection methods face challenges in preventing the rapid transmission of <i>V. parahemolyticus</i> due to insufficient sensitivity and limited coverage. Herein, an aptamer-based real-time fluorescence biosensor was developed, termed CAPANA (a catalytic nucleic acid exponential cascade amplification network-powered magnetic aptasensor) for simple and ultrafast sensitive diagnosis of <i>V. parahemolyticus</i>. By integrating the programmable truncated aptamer and the EXPAR-TtAgo cascade reaction, the CAPANA system dexterously converts the epitope recognition events of <i>V. parahemolyticus</i> into fluorescence signals. The CAPANA system can not only address the low sensitivity of the single aptasensor transduction and the interference from nonessential bases in amplicons but also maintain dynamic balance between repeated regeneration of target and exponential signal amplification. Moreover, considering the potential variations in reaction conditions among multiple enzymes and the possible impacts of their interactions on reaction efficiency and specificity, engineering improvements in the CAPANA system can optimize coordination and complexity among multiple enzymes. The CAPANA system demonstrated a 60.61-fold higher detection efficacy for <i>V. parahemolyticus</i> than the TtAgo-based cleavage method. The detection limit achieved is 10<sup>0</sup> CFU/mL, and the rapid results take only 40 min. This system was confirmed by identifying contaminated aquatic products and challenged with ELISA, qPCR, or culture methods. This work enriches the arsenal of signal transduction based on aptamer epitope recognition, highlighting its potential as a precision on-site diagnostic tool for pathogenic bacteria.
Authors
- W. Li (ORCID: https://orcid.org/0000-0002-0266-6047)
- Yinglong He (ORCID: https://orcid.org/0000-0002-6666-8471)
- Shenghang Zhang (ORCID: https://orcid.org/0000-0003-1602-7681)
- Xiaogai Hou (ORCID: https://orcid.org/0000-0003-3633-1285)
- Jiaqi Chen (ORCID: https://orcid.org/0000-0003-3134-2436)
- Xinran Xiang (ORCID: https://orcid.org/0000-0002-2574-7333)
- Ju Chen (ORCID: https://orcid.org/0000-0001-7674-4776)
- Jiaqi Zhao (ORCID: https://orcid.org/0000-0001-6635-0933)
- Yang Xiang (ORCID: https://orcid.org/0000-0002-4091-6422)
- Wenjing Jin (ORCID: https://orcid.org/0000-0002-4796-5390)
Institutions
- Fujian Medical University (CN)
- Henan University of Science and Technology (CN)
- Huaiyin Normal University (CN)
- State Key Laboratory of Food Science and Technology (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1021/acs.analchem.5c01104
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Fujian Province
- Jiangsu Science and Technology Department
- Henan Provincial Science and Technology Research Project