A novel method based on fluorescent magnetic nanobeads for rapid detection of Escherichia coli O157:H7

Rapid, Quantitative, High-Sensitive Detection of Escherichia coli O157:H7 by Gold-Shell Silica-Core Nanospheres-Based Surface-Enhanced Raman Scattering Lateral Flow Immunoassay

“…Table 1 shows the comparison between results from the current study and those from other reported LFIAs for bacterial detection. The SiO 2 /Au based SERS-LFIA strip considerably improved the detection sensitivity of the target bacteria in comparison with other previously reported LFIA system (10 2 –10 5 cells/mL), especially the commercial colloidal Au strip (10 5 –10 7 cfu/mL) ( Gast et al, 2003 ; Kong et al, 2017 ; Hu et al, 2018 ; Shin et al, 2018 ; Wang et al, 2018a ; Huang et al, 2019 ; Zhang et al, 2020 ). In addition, the SiO 2 /Au-LFIA strip could be successfully used for quantitative detection of E. coli O157:H7 in biological samples, making the POCT promising for sensitive testing of pathogenic bacteria.…”

Point-of-Need Diagnostics for Foodborne Pathogen Screening

“…Two studies fabricated fluorescent magnetic nanospheres by integrating QDs with Fe 3 O 4 MNPs. 52,53 These particles allowed for lower LODs due to IMS enrichment of the pathogen as well as simultaneous colorimetric, magnetic, and fluorescent readouts. Although the quantification of the fluorescent and magnetic signals required some specialized equipment, the colorimetric change associated with Fe 3 O 4 binding to the test line made PON-friendly qualitative detection possible as well.…”

Rapid Enrichment and Ultrasensitive Detection of Influenza A Virus in Human Specimen using Magnetic Quantum Dot Nanobeads Based Test Strips

“…Immunomagnetic nanobeads can recognize and enrich target analytes in complex matrix with an external magnetic field [ 15 ]. Recently, magnetic quantum dot nanobeads (MQBs) have been prepared and deployed in LFA to enable immune enrichment, fluorescent labeling, and rapid detection of cancer markers, toxins, and bacteria [ [22] , [23] , [24] , [25] ]. These approaches extremely extend the application of LFA in the analysis of targets in real samples such as clinical serum and food samples.…”