Establishment of a dual-signal sandwich sensor for detection of shigella sonnei based on truncated aptamers

Yifei He, Jinxiang Wei, Pengfei Ma, Imran Mahmood Khan, Lili Zhang, Niazi Sobia, Yu Xia, Zhouping Wang

Research output: Journal PublicationArticlepeer-review


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 (Kd = 43.5 ± 2.78 nM) and SP1-2.2 (Kd = 23.3 ± 3.01 nM) with good specificity and affinity were obtained by truncation strategy. Then, Fe3O4@SiO2@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.

Original languageEnglish
Article number110111
JournalFood Control
Publication statusPublished - Feb 2024
Externally publishedYes


  • Aptamer
  • Colorimetric
  • Detection
  • SERS
  • Shigella sonnei
  • Truncation

ASJC Scopus subject areas

  • Biotechnology
  • Food Science


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