The University of Southampton
University of Southampton Institutional Repository

Paper-based lateral flow assay for the point-of-care detection of neurofilament light chain

Paper-based lateral flow assay for the point-of-care detection of neurofilament light chain
Paper-based lateral flow assay for the point-of-care detection of neurofilament light chain

Neurofilament light chain (NF-L) is a protein found in neurons of the nervous system and is widely used as a biomarker for neurological disorders. However, the current methods for detecting NF-L levels are complicated, expensive, and require specialized equipment, making it challenging to implement in a point-of-care (POC) setting. In this study, we developed a gold nanoshell (AuNS)-assisted lateral flow assay (LFA) based test strip for the POC detection of NF-L at a low ng/mL level (8 ng/mL = 117.65 pM). The test strip is a simple, rapid, and cost-effective method for detecting NF-L, making it suitable for use in a POC setting for the diagnosis and treatment of various neurological disorders. With its ease of use and reliability, the paper-based LFA is a valuable tool for the diagnosis and management of neurological conditions.Clinical Relevance - The AuNS-assisted LFA test strip developed in this study offers a rapid, cost-effective, and simple method for detecting NF-L levels, making it of great interest to practicing clinicians for the diagnosis of various neurological diseases such as HIV-associated dementia (HID), Amyotrophic Lateral Sclerosis (ALS), and Creutzfeldt-Jakob disease (CJD).

1557-170X
IEEE
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Deng, Fei
426fa10e-62cf-4593-b476-160aa39a8ece
Hall, Tim
e180ef85-f5d8-41ba-9702-7f3baf74b6a3
Goldys, Ewa
9f624161-efbc-4549-970c-ba5d9e3ba0e9
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Deng, Fei
426fa10e-62cf-4593-b476-160aa39a8ece
Hall, Tim
e180ef85-f5d8-41ba-9702-7f3baf74b6a3
Goldys, Ewa
9f624161-efbc-4549-970c-ba5d9e3ba0e9

Zhang, Chengchen, Deng, Fei, Hall, Tim and Goldys, Ewa (2023) Paper-based lateral flow assay for the point-of-care detection of neurofilament light chain. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. IEEE.. (doi:10.1109/EMBC40787.2023.10340109).

Record type: Conference or Workshop Item (Paper)

Abstract

Neurofilament light chain (NF-L) is a protein found in neurons of the nervous system and is widely used as a biomarker for neurological disorders. However, the current methods for detecting NF-L levels are complicated, expensive, and require specialized equipment, making it challenging to implement in a point-of-care (POC) setting. In this study, we developed a gold nanoshell (AuNS)-assisted lateral flow assay (LFA) based test strip for the POC detection of NF-L at a low ng/mL level (8 ng/mL = 117.65 pM). The test strip is a simple, rapid, and cost-effective method for detecting NF-L, making it suitable for use in a POC setting for the diagnosis and treatment of various neurological disorders. With its ease of use and reliability, the paper-based LFA is a valuable tool for the diagnosis and management of neurological conditions.Clinical Relevance - The AuNS-assisted LFA test strip developed in this study offers a rapid, cost-effective, and simple method for detecting NF-L levels, making it of great interest to practicing clinicians for the diagnosis of various neurological diseases such as HIV-associated dementia (HID), Amyotrophic Lateral Sclerosis (ALS), and Creutzfeldt-Jakob disease (CJD).

This record has no associated files available for download.

More information

Published date: 23 July 2023
Venue - Dates: 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023, , Sydney, Australia, 2023-07-24 - 2023-07-27

Identifiers

Local EPrints ID: 492818
URI: http://eprints.soton.ac.uk/id/eprint/492818
ISSN: 1557-170X
PURE UUID: 2a3990bd-a2c4-4314-b117-32591d007911
ORCID for Chengchen Zhang: ORCID iD orcid.org/0000-0001-8802-539X

Catalogue record

Date deposited: 15 Aug 2024 16:36
Last modified: 16 Aug 2024 02:10

Export record

Altmetrics

Contributors

Author: Chengchen Zhang ORCID iD
Author: Fei Deng
Author: Tim Hall
Author: Ewa Goldys

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×