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Establishment of a dual-signal sandwich sensor for detection of shigella sonnei based on truncated aptamers.
- Source :
-
Food Control . Feb2024, Vol. 156, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Shigella Sonnei (S. sonnei) is a common foodborne pathogen causing intestinal diseases. In this study, a sandwich-structured colorimetric and surface-enhanced Raman scattering (SERS) dual methods adaptation sensor was prepared for the detection of S. sonnei. Firstly, two aptamers, SS4.1-2 (K d = 43.5 ± 2.78 nM) and SP1-2.2 (K d = 23.3 ± 3.01 nM) with good specificity and affinity were obtained by truncation strategy. Then, Fe 3 O 4 @SiO 2 @Ag nanoparticles were utilized to capture bacteria, while Cu-TCPP (Fe)/AuNPs nanosheets were used as signal probes due to their oxidase activity and SERS signals. The detection limits of the aptasensor were as low as 37 CFU/mL for the colorimetric signal and 7 CFU/mL for SERS signal. Furthermore, the aptasensor was successfully applied to detect S. sonnei in real samples with 94.95–112.92% and 98.40–103.95% recoveries for colorimetric and SERS methods, respectively. A more rapid and accurate method to detect S. sonnei contamination in food was improved. • Two aptamers that specifically bind to S. sonnei were truncated and optimized to avoid the high cost and instability. • The Fe 3 O 4 @SiO 2 @Ag nanoparticles were synthesized and used as capture probes with separation and enrichment properties. • The Cu-TCPP (Fe)/AuNPs nanosheets were successfully synthesized and used as detection probes with peroxidase properties and SERS signals. • Development of an aptamer sandwich dual signal sensor for S. sonnei. [ABSTRACT FROM AUTHOR]
- Subjects :
- *IRON oxides
*APTAMERS
*SHIGELLA
*SERS spectroscopy
*FOOD contamination
Subjects
Details
- Language :
- English
- ISSN :
- 09567135
- Volume :
- 156
- Database :
- Academic Search Index
- Journal :
- Food Control
- Publication Type :
- Academic Journal
- Accession number :
- 173415723
- Full Text :
- https://doi.org/10.1016/j.foodcont.2023.110111