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ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Characterization and Interventions for Foodborne Pathogens » Research » Publications at this Location » Publication #398009

Research Project: Detection, Quantification and Characterization Technologies for Foodborne Pathogens

Location: Characterization and Interventions for Foodborne Pathogens

Title: Magnetic capture device for large volume sample analysis

Author
item Armstrong, Cheryl
item Capobianco, Joseph
item Lee, Joseph - Joe

Submitted to: PLOS ONE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/11/2024
Publication Date: 2/9/2024
Citation: Armstrong, C.M., Capobianco Jr, J.A., Lee, J. 2024. Magnetic capture device for large volume sample analysis. PLOS ONE. https://doi.org/10.1371/journal.pone.0297806.
DOI: https://doi.org/10.1371/journal.pone.0297806

Interpretive Summary: Recovery of cells and cellular components from mixtures is a common step in many molecular biology-based assays. Current methodologies employing microscopic superparamagnetic particles have shown to be successful with small-volume liquid samples, however their effectiveness with large-volume samples or samples containing large particulates is questionable. To overcome these limitations, we have developed a method using typical laboratory spinbars. The increased size of the spinbar compared to the previously employed microscopic particles allows these problematic sample types to be easily assayed. Comparisons between both methods were made and demonstrated an increased recovery when spinbars were used for the isolation of cells from a complex matrix.

Technical Abstract: Immunomagnetic separation (IMS) techniques employing superparamagnetic particles can successfully isolate various components from mixtures. However, their utility is limited for large volume samples or those containing a high density of particulate matter. Therefore, a new class of immunomagnetic particles was created utilizing Pyrex spinbars conjugated with biorecognition elements to specifically address these limitations of the current state-of-the-art and provide an effective alternative for large-volume assays composed of complex matrices.