Literature DB >> 29321458

Wax-Assisted One-Step Enzyme-Linked Immunosorbent Assay on Lateral Flow Test Devices.

Masanori Ishii1, Pattarachaya Preechakasedkit2, Kentaro Yamada1, Orawon Chailapakul3, Koji Suzuki1, Daniel Citterio1.   

Abstract

Lateral flow tests (LFTs) are widely used analytical tools characterized by portability, operator simplicity and short analysis times. A remaining challenge is their limited analytical sensitivity, which in classical immunoassay formats is overcome by enzyme-linked immunosorbent assay (ELISA) formats. The implementation of ELISA to an LFT format however, is hampered by the complexity of the procedure requiring the enzyme substrate addition after sample addition. In this work, a simple method for automation of this procedure without user interference is presented. Originally used sample pads of LFTs have been replaced by hydrophobic wax-modified filter paper-based sample pads to realize a delayed flow a pre-deposited colorimetric ELISA substrate without other alterations to the classical lateral-flow immunoassay format. The performance of the system has been characterized by visualizing flow behavior and final proof-of-concept is provided by a model mouse IgG assay, achieving a limit of detection of 15.8 ng mL-1 from just a single application of the sample solution.

Entities:  

Keywords:  ELISA; Lateral flow immunoassay; sequential reagent delivery; signal amplification; wax printing

Mesh:

Substances:

Year:  2018        PMID: 29321458     DOI: 10.2116/analsci.34.51

Source DB:  PubMed          Journal:  Anal Sci        ISSN: 0910-6340            Impact factor:   2.081


  2 in total

1.  Osmotic Processor for Enabling Sensitive and Rapid Biomarker Detection via Lateral Flow Assays.

Authors:  Sheng-You Chen; Abe Y Wu; Ruby Lunde; James J Lai
Journal:  Front Bioeng Biotechnol       Date:  2022-06-01

2.  Advanced trap lateral flow immunoassay sensor for the detection of cortisol in human bodily fluids.

Authors:  Hyun-Kyung Oh; Kihyeun Kim; Jinhee Park; Hyungjun Jang; Min-Gon Kim
Journal:  Sci Rep       Date:  2021-11-19       Impact factor: 4.379

  2 in total

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