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Label-free screening of foodborne Salmonella using surface plasmon resonance imaging

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2017
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Title
Label-free screening of foodborne Salmonella using surface plasmon resonance imaging
Published in
Analytical & Bioanalytical Chemistry, December 2017
DOI 10.1007/s00216-017-0810-z
Pubmed ID
Authors

Jing Chen, Bosoon Park

Abstract

It is estimated that 95% of the foodborne infections are caused by 15 major pathogens. Therefore, rapid and effective multiplex screening techniques for these pathogens with improved efficiencies could benefit public health at lower costs. Surface plasmon resonance imaging (SPRi) provides a label-free, multiplex analytical platform for pathogen screening. In this study, we have developed a singleplex immunoassay for Salmonella to evaluate the potential of SPRi in pathogen detection. Anti-Salmonella and control ligands were arrayed onto the SPRi sensor chip in a microarray format. The influences of ligand immobilization pH and concentration were optimized, and a pause flow protocol was adopted to improve assay rapidity and sensitivity. The method shows good specificity against 6 non-Salmonella species and was able to detect 5 of 6 Salmonella serotypes, including 3 serotypes most frequently associated with outbreaks. Limits of detection were found to be 2.1 × 106 CFU/mL in phosphate-buffered saline and 7.6 × 106 CFU/mL in the presence of chicken rinse matrix with 8.9 × 107 CFU/mL of indigenous microflora. The condition of antibody array regeneration was optimized for sequential sample injections. Finally, the SPRi immunoassay was used to detect Salmonella directly from artificially spiked chicken carcass rinse samples. As low as 6.8 CFU/mL of Salmonella could be detected after overnight enrichment in buffered peptone water, demonstrating the potential in streamlined pathogen screening with minimal sample preparation and without detection labels. Graphical abstract ᅟ.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Master 9 16%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Unspecified 3 5%
Other 10 18%
Unknown 15 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 18%
Engineering 6 11%
Biochemistry, Genetics and Molecular Biology 4 7%
Unspecified 3 5%
Immunology and Microbiology 2 4%
Other 11 20%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#388,692
of 449,001 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#122
of 169 outputs
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