DNA aptamer-based colorimetric detection platform for Salmonella Enteritidis


BAYRAÇ C., EYİDOĞAN F., ÖKTEM H. A.

BIOSENSORS & BIOELECTRONICS, cilt.98, ss.22-28, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 98
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.bios.2017.06.029
  • Dergi Adı: BIOSENSORS & BIOELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.22-28
  • Anahtar Kelimeler: Salmonella Enteritidis, DNA aptamer, Colorimetric detection, SENSITIVE DETECTION, ELECTROCHEMICAL APTASENSOR, RAPID DETECTION, IN-VITRO, RNA, PCR, IDENTIFICATION, AMPLIFICATION, TYPHIMURIUM, SELECTION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Food safety is a major issue to protect public health and a key challenge is to find detection methods for identification of hazards in food. Food borne infections affects millions of people each year and among pathogens, Salmonella Enteritidis is most widely found bacteria causing food borne diseases. Therefore, simple, rapid, and specific detection methods are needed for food safety. In this study, we demonstrated the selection of DNA aptamers with high affinity and specificity against S. Enteritidis via Cell Systematic Evolution of Ligands by Exponential Enrichment (Cell-SELEX) and development of sandwich type aptamer-based colorimetric platforms for its detection. Two highly specific aptamers, crn-1 and crn-2, were developed through 12 rounds of selection with K-d of 0.971 mu M and 0.309 mu M, respectively. Both aptamers were used to construct sandwich type capillary detection platforms. With the detection limit of 103 CFU/mL, crn-1 and crn-2 based platforms detected target bacteria specifically based on color change. This platform is also suitable for detection of S. Enteritidis in complex food matrix. Thus, this is the first to demonstrate use of Salmonella aptamers for development of the colorimetric aptamer-based detection platform in its identification and detection with naked eye in point-of-care.