Bead array for Listeria monocytogenes detection using specific monoclonal antibodies

Nitsara Karoonuthaisiri, Ratthaphol Charlermroj, Jarinthorn Teerapornpuntakit, Mallika Kumpoosiri, Orawan Himananto, Irene R. Grant, Oraprapai Gajanandana, Christopher T. Elliott

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


To develop a detection method for human pathogenic Listeria monocytogenes, novel specific antibodies were obtained from hybridoma libraries generated by using formalin-killed and heat-killed L. monocytogenes as immunogens. Several monoclonal antibodies found to be specific to Listeria spp or L. monocytogenes were evaluated for their applicability as binders for bead array and sandwichELISA for detection of L. monocytogenes in buffer and in 11 different food types. The bead array format consistently demonstrated lower detection limits and was less affected by interference from food matrices than the sandwich ELISA format. However, the obtained detection limits were not sufficient to satisfy the required standard for L. monocytogenes testing. Therefore, the international organizationfor standardization (ISO 11290-1:1996) methods for pre-enrichment and enrichment were employed to increase the bacteria numbers. When compared to the standard plating method, the bead array was able to detect the bacteria with the same accuracy even at the 1 CFU level after only 24 hours of the enrichment period. In addition, Listeria-specific 3C3 and L. monocytogenes-specific 7G4 antibodies were successfully employed to construct a multiplex detection for Listeria, Salmonella and Campylobacter in a bead array format by combining with commercial Salmonella-specific and available Campylobacter-specific antibodies.
Original languageEnglish
Pages (from-to)462-471
Number of pages10
JournalFood Control
Early online date04 Aug 2014
Publication statusPublished - Jan 2015


  • Bead array
  • Listeria monocytogenes
  • Monoclonal antibody
  • Enzyme-Linked Immunosorbent Assay
  • multiplex detection


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