Paper-based colorimetric detection of pathogenic bacteria in food through magnetic separation and enzyme-mediated signal amplification on paper disc

Sang Mook You, Ki Baek Jeong, Ke Luo, Jin Sung Park, Ji Won Park, Young Rok Kim

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Herein, we report a colorimetric sensing system for the detection of highly virulent bacteria, Escherichia coli O157:H7, in sausage by utilizing magnetic separation and enzyme-mediated signal amplification on paper disc. For magnetic separation, Poly-L-lysine coated starch magnetic particles (PLL@SMPs) were synthesized and utilized for the separation and concentration of the bacteria in sample suspension. Horseradish peroxidase-conjugated antibody (HRP-Antibody) and 3,3′,5,5′- tetramethylbenzidine (TMB) were employed for the specific signal amplification in the presence of target bacteria. The synthesized PLL@SMPs showed an excellent capture efficiency (>90%) for the pathogenic bacteria in large volume sample suspension. The intrinsic problems associated with the non-specific binding of sensing components that lead to the high background signal and low sensitivity in colorimetric detection was successfully resolved by employing hyaluronic acid as a blocking agent. The effective separation and concentration of target bacteria by PLL@SMPs and target-specific signal amplification with exceptionally high signal to noise ratio enabled the detection of target bacteria with a detection limit in the single digit regime. The sensing system proposed in this study was successfully used for the detection of the target pathogenic bacteria, E. coli O157:H7, in sausage sample with the limit of detection (LOD) as low as 30.8 CFU/mL with 95% probability. The simple nature of paper-based detection system with a great sensitivity and specificity would provide an effective means of evaluating the safety of food and environmental samples.

Original languageEnglish
Article number338252
JournalAnalytica Chimica Acta
Volume1151
DOIs
StatePublished - 22 Mar 2021

Keywords

  • E. coli O157:H7
  • Hyaluronic acid
  • Magnetic separation
  • Paper-based colorimetric detection
  • Pathogenic bacteria
  • Signal amplification

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