journal article·2023-03-10

Sharp Branched Gold Nanostar-Based Lateral-Flow Immunoassay for Detection of Yersinia pestis

Supriya Atta, Aidan J. Canning, Ren Odion, Hsin-neng Wang, Derrick Hau, Jasmine Pramila Devadhasan, Alexander Jarrett Summers, Marcellene A. Gates-Hollingsworth, Kathryn J. Pflughoeft, Jian Gu, Douglas C. Montgomery, David P. AuCoin, Frederic Zenhausern, Tuan Vo-Dinh

ACS Applied Nano Materials· Volume 6· Issue 5
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Abstract

Over the past few decades, colorimetric paper-based lateral flow immunoassay (LFIA) has emerged as a versatile analytical tool for rapid point-of-care detection of infectious diseases with high simplicity and flexibility. The LFIA sensitivity is based on color visualization of the antibody-labeled nanoparticles bound with the target analytes at the test line. Therefore, the nanoparticle design is crucial for LFIA sensitivity. The traditional LFIA is based on spherical gold nanoparticles, which usually suffer from poor sensitivity because of very low optical contrast at the test line. To improve the LFIA sensitivity, we have developed an LFIA based on gold nanostars (GNSs) with different branch lengths and sharpness (GNS-1, GNS-2, and GNS-3), which possess higher optical contrast than conventional gold nanospheres (GNSPs). We have selected the bacterium Yersinia pestis as a model analyte system. The effective affinity of GNSPs and GNSs with the Y. pestis fraction 1 (F1) protein was quantitively investigated by colorimetric and optical density measurements of the test line. The results show that GNS-3, which has maximum spike length and branch sharpness, exhibits the highest analytical sensitivity based on the limit of detection of the LFIA readout compared to other GNSs and GNSPs. The detection limit of the Y. pestis F1 antigen was achieved up to 0.1 ng/mL for GNS-3, which is 100 times lower than that for the GNSP at a 1 pmol/L concentration and 10 times lower than that for the reported procedure based on traditional gold nanoparticles. Overall, our prototype LFIA platform based on a highly spiked GNS (GNS-3) exhibits high analytical sensitivity, indicating it to be a promising candidate for routine LFIA application to detect infectious diseases.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Yersinia bacterium, plague, ectoparasites research · Vibrio bacteria research studies · Bacterial Identification and Susceptibility Testing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Fitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States

Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States

Department of Chemistry, Duke University, Durham, North Carolina 27708, United States

Department of Microbiology and Immunology, University of Nevada, Reno School of Medicine, Reno, Nevada 89557, United States

Center for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States

Department of Basic Medical Sciences, The University of Arizona, College of Medicine, 475 N 5th Street, Phoenix, Arizona 85004, United States

School of Computing and Augmented Intelligence, Ira A. Fulton Schools of Engineering Arizona State University, Tempe, Arizona 85281, United States

Funding

Defense Threat Reduction Agency

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