Nanoparticle-Supported, Point-of-Care Detection of Shiga Toxin-Producing E. coli Infection from Food and Human Specimens
Mirjalili, S.; Choi, Y.; Chockalingam, K.; Thomas, B.; He, X.; Chen, Z.; Wang, C.
Show abstract
Shiga toxin-producing Escherichia coli (STEC) are major foodborne pathogens responsible for severe infections, including the deadly hemolytic uremic syndrome (HUS). However, the current diagnostic methods lack the sensitivity and speed required for effective clinical and food safety applications. Early detection of Shiga toxin 2 (Stx2), a primary virulence factor of STEC, could potentially offer critical benefits for timely intervention. In this work, gold nanoparticles (AuNPs) are functionalized with a pair of high-affinity, designed ankyrin repeat proteins (DARPins) targeting the A and B subunits of Stx2, and used as multifunctional signal transductors for rapid and electronic detection (RED). This DARPin-RED platform leverages active centrifugal forces and vortex agitation for signal enhancement within a short turnaround time (<30 minutes), achieving highly sensitive (attomolar to femtomolar) detection of Stx2 spiked in food matrices, such as milk, lettuce extract, and ground beef extract, as well as biological fluids, including whole blood, and serum. Additionally, DARPin-RED is capable of detecting multiple Stx2 subtypes without serious background interference, and successful in both differentiating high-toxin-producing E. coli strain (RM5856) from low toxin producer (RM9872) (p < 0.001) and analyzing different bacterial inoculation stages (p = 0.011) from STEC culture within 8 hours post-inoculation. The ability of DARPin-RED to detect Stx2 from food and human specimens at a high sensitivity and specificity using a point-of-care (POC) readout circuit presents a significant advancement for mitigating foodborne outbreaks and effective management of HUS progression.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Synthetic Nanobody-Functionalized Nanoparticles for Accelerated Development of Rapid, Accessible Detection of Viral Antigens 98%
- Genetic Circuits Combined with Machine Learning Provides Fast Responding Living Sensors 97%
- Nanoparticle-Supported, Rapid, Digital Quantification of Neutralizing Antibodies Against SARS-CoV-2 Variants 97%
Similar papers in this journal
Similar papers in this journal
- DNA Origami Signal Amplification in LateralFlow Immunoassays 96%
- Micrometer-thick, porous, nanocomposite coating for electrochemical sensors with exceptional antifouling and electroconducting properties 95%
- Single-Particle Counting Based on Digital Plasmonic Nanobubble Detection for Rapid and Ultrasensitive Diagnostics 94%
Similar papers in this journal
- Aerosol Jet Printing Enabled Dual-Function Electrochemical and Colorimetric Biosensor for SARS-CoV-2 Detection 96%
- Single-Walled Carbon Nanotube Probes for Protease Characterization Directly in Cell-Free Expression Reactions 96%
- Universal and naked-eye gene detection platform based on CRISPR/Cas12a/13a system 95%
Similar papers in this journal
- Gold Nanourchins Improve Virus Targeting and Plasmonic Coupling for Virus Diagnosis on a Smartphone Platform 95%
- An optical aptamer-based cytokine nanosensor detects macrophage activation by bacterial toxins 95%
- Real-time respiration changes as a viability indicator for rapid antibiotic susceptibility testing in a microfluidic chamber array 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.