Issue 13, 2022

Lateral flow assays for hormone detection

Abstract

Endocrine diseases are the fifth most common cause of death and have a considerable impact on society given that they induce long-term morbidity in patients. For many decades, the measurement of hormones has been of great interest since this can be used to diagnose a plethora of pathological conditions. As a result, the endocrine testing market has experienced exponential growth. Several techniques have been utilised for the detection of hormones; however, they are expensive, laborious and require specialist training. Conversely, lateral flow assays (LFAs) are cheap (<£1) and rapid (<5 min) devices. LFAs typically rely on biochemical interactions between antibodies and antigens to produce coloured signals proportional to analyte concentrations, which can be visually inspected. Given their simplicity, LFAs are now considered the most attractive point-of-care device in medicine. However, the measurement of hormones in biofluids using LFAs faces many challenges including (i) the necessity for sensitive detection methods, (ii) the need for multiplexed devices for the confirmation of a diagnosis, and (iii) difficulties in sample preparation and pre-concentration. As such, most hormone LFAs remain in the research phase, and the few that have been commercialised require further optimisation before they can be employed for routine use. This review summarises the basic principles underlying lateral flow technology and provides an overview of recent advances, challenges, and potential solutions for the detection of hormone biomarkers via LFAs. Finally, hormone LFA kits available on the market are presented, with a look towards future developments and trends in the field.

Graphical abstract: Lateral flow assays for hormone detection

Article information

Article type
Critical Review
Submitted
25 okt 2021
Accepted
07 iyn 2022
First published
17 iyn 2022
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2022,22, 2451-2475

Lateral flow assays for hormone detection

L. Khelifa, Y. Hu, N. Jiang and A. K. Yetisen, Lab Chip, 2022, 22, 2451 DOI: 10.1039/D1LC00960E

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