Evidence map›Paper›PMID 41174246›Full record

ArticleAnalytical and bioanalytical chemistry2025

Development of an automated device and mobile application for digoxin detection and quantification from dried blood spots using gold-coated magnetic nanoprobes and the lateral-flow immunoassay.

Teagan S Carr, Amanda Weckerly, Yuchi Jiang, Shreedevi S Rao, Audrey T Sogata, Lillian Gong, Daniel T Kamei

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Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Teagan S Carr *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0003-6665-3055
Amanda Weckerly *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0001-5508-5254
Yuchi Jiang *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0009-8443-3420
Shreedevi S Rao *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0006-5132-2239
Audrey T Sogata *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0007-1694-6190
Lillian Gong *Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0009-0002-6596-6693
Daniel T KameiDepartment of Bioengineering, University of California, Los Angeles, CA, 90095, USA. kamei@seas.ucla.edu.ORCID http://orcid.org/0000-0001-8864-1846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digoxin is a commonly prescribed drug for cardiovascular diseases, which is the leading cause of death globally, with those in resource-limited areas disproportionately affected. Unfortunately, digoxin has a narrow therapeutic window of 0.7-1.8 ng/mL and therefore requires therapeutic drug monitoring (TDM) to ensure safe and effective doses are administered. While mobile clinics increase medical accessibility in point-of-care settings, they lack specialized equipment and electricity that TDM requires. To address this lack of TDM technology, we created a fully automated and battery-powered device that executes a newly developed workflow and requires only a push of a single button. Notably, this novel method integrates the simplicity and long-term stability of dried blood spot (DBS) sampling with a custom-made lateral-flow immunoassay (LFA) to measure digoxin concentrations in blood either immediately or for a comprehensive analysis over time. For managing multiple patient samples, we developed a smartphone app that aids clinicians in scanning patient data written on DBS collection cards. Additionally, the app is able to quantify therapeutic levels of digoxin by correlating LFA test line intensity in an image to the DBS's concentration. The automated device used in conjunction with the smartphone app delivers consistent LFA results in a rapid turnaround time of 40 min for digoxin DBS concentrations between 0 and 10 ng/mL. This work integrating an innovative automated system and mobile application advances medical diagnostics as this portable and cost-effective technology enables efficient monitoring of drug levels in patient blood and is especially suitable for mobile clinic settings.

Indexed as

DigoxinDried Blood Spot TestingGoldMobile ApplicationsAutomationDrug MonitoringHumansImmunoassayLimit of DetectionSmartphoneDigoxinGoldDigoxinDried blood spotLateral-flow immunoassayPoint-of-care deviceSmartphone-based quantificationTherapeutic drug monitoring

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.