Simple One-Pot Assay for Visual and Smartphone-Based Quantification of Human Albumin in Urine and Biological Fluids

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Publication Details

Author listNopchulee Cheeveewattanagul, Oranut Warachit, Paskorn Muangphrom, Patsamon Rijiravanich

PublisherElsevier

Publication year2025

JournalTalanta: The International Journal of Pure and Applied Analytical Chemistry (0039-9140)

Volume number295

Start page128443

ISSN0039-9140

eISSN1873-3573

URLhttps://www.sciencedirect.com/science/article/abs/pii/S0039914025009336

LanguagesEnglish-United States (EN-US)


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Abstract

This study introduces a simple and effective one-pot assay for the quantification of human albumin (HA) using H8 aptamer-modified magnetic beads (H8Apt-MB-HA), applicable across various biological fluids, including urine, serum, and sweat. Upon binding to HA, the aptamer-bead complexes exhibit concentration-dependent aggregation: well-dispersed at low HA levels and clustered at higher concentrations, with rapid sedimentation under a magnetic field in U-shaped well plates. These aggregation patterns are visually discernible, enabling rapid qualitative screening without the need for complex instrumentation. For quantitative analysis, digital images captured by a smartphone or a plate scanner (Cytation™ 5) are processed using ImageJ software, allowing for accurate signal quantification. The top and bottom-view assay achieves a detection limit of 5.9 and 6.5 mg L-1 and demonstrates robust performance across a urinary pH range of 5.0 to 7.0. Minimal cross-reactivity with other biological components confirms the aptamer’s high specificity. Clinical validation with patient urine samples shows excellent correlation with standard immunoturbidimetric methods, underscoring the assay’s potential for point-of-care testing. This approach supports immediate interpretation and clinical decision making, especially valuable in resource-limited settings and for routine monitoring of kidney-related disorders.


Keywords

Aggregation-based detectionAptamerHuman albuminOne-pot assaySmartphone-based analysisurine


Last updated on 2025-24-06 at 13:55