Separation and detection of multiple pathogens in a food matrix by magnetic SERS nanoprobes

A rapid and sensitive method was developed here for separation and detection of multiple pathogens in food matrix by magnetic surface-enhanced Raman scattering (SERS) nanoprobes. Silica-coated magnetic probes (MNPs@SiO₂) of ∼100 nm in diameter were first prepared via the reverse microemulsion method...

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Veröffentlicht in:Analytical and bioanalytical chemistry 2011-01, Vol.399 (3), p.1271-1278
Hauptverfasser: Wang, Yuling, Ravindranath, Sandeep, Irudayaraj, Joseph
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Sprache:eng
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Zusammenfassung:A rapid and sensitive method was developed here for separation and detection of multiple pathogens in food matrix by magnetic surface-enhanced Raman scattering (SERS) nanoprobes. Silica-coated magnetic probes (MNPs@SiO₂) of ∼100 nm in diameter were first prepared via the reverse microemulsion method using cetyltrimethylammonium bromide as a surfactant and tetraethyl orthosilicate as the silica precursor. The as-prepared MNPs@SiO₂ were functionalized with specific pathogen antibodies to first capture threat agents directly from a food matrix followed by detection using an optical approach enabled by SERS. In this scheme, pathogens were first immuno-magnetically captured with MNPs@SiO₂, and pathogen-specific SERS probes (gold nanoparticles integrated with a Raman reporter) were functionalized with corresponding antibodies to allow the formation of a sandwich assay to complete the sensor module for the detection of multiple pathogens in selected food matrices, just changing the kinds of Raman reporters on SERS probes. Here, up to two key pathogens, Salmonella enterica serovar Typhimurium and Staphylococcus aureus, were selected as a model to illustrate the probability of this scheme for multiple pathogens detection. The lowest cell concentration detected in spinach solution was 10³ CFU/mL. A blind test conducted in peanut butter validated the limit of detection as 10³ CFU/mL with high specificity, demonstrating the potential of this approach in complex matrices. [graphic removed]
ISSN:1618-2642
1618-2650
DOI:10.1007/s00216-010-4453-6