Using encoded hydrogel microparticles in a 96-well filter plate system for enhanced rinsing efficiency in multiplexed nucleic acid detection

Accurate and efficient nucleic acid detection is crucial for biomedical applications, including disease diagnostics and molecular-level insights into disease mechanisms. Among various detection methods, hydrogel microparticle-based assays have garnered significant attention for their high sensitivity and multiplexing capability. However, these assays are often hindered by time-consuming, non-reproducible, and unstable rinsing steps, which compromise sensitivity and reliability. While filter plates hold great potential for streamlining the rinsing process, challenges such as sample evaporation and difficulty in temperature control have limited their integration into hydrogel microparticle-based nucleic acid assays. In this study, we present a 96-well filter plate-based detection system incorporating evaporation-minimizing films and printed circuit board heaters. This system enables nucleic acid assays within a filter plate while ensuring uniform temperature control across wells and significantly enhancing rinsing efficiency. Additionally, our platform demonstrates a two-fold improvement in the limit of detection compared to conventional tube-based assays, while maintaining high reproducibility across wells. By addressing the key challenges associated with integrating hydrogel microparticle-based assays with filter plates, this system provides a facile, rapid, reliable, and sensitive approach for multiplex nucleic acid detection.

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Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay01264c
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
Type
article
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article

Using encoded hydrogel microparticles in a 96-well filter plate system for enhanced rinsing efficiency in multiplexed nucleic acid detection

Seok Joon Mun, Hyun Roh, Eun-Suk Song, Wookyoung Jang et al.
Analytical Methods
Innovative Microfluidic and Catalytic Techniques Innovation
article

Using encoded hydrogel microparticles in a 96-well filter plate system for enhanced rinsing efficiency in multiplexed nucleic acid detection

Seok Joon Mun, Hyun Roh, Eun-Suk Song, Wookyoung Jang, Ki Wan Bong, Jun Hee Choi
article en

Abstract

Accurate and efficient nucleic acid detection is crucial for biomedical applications, including disease diagnostics and molecular-level insights into disease mechanisms. Among various detection methods, hydrogel microparticle-based assays have garnered significant attention for their high sensitivity and multiplexing capability. However, these assays are often hindered by time-consuming, non-reproducible, and unstable rinsing steps, which compromise sensitivity and reliability. While filter plates hold great potential for streamlining the rinsing process, challenges such as sample evaporation and difficulty in temperature control have limited their integration into hydrogel microparticle-based nucleic acid assays. In this study, we present a 96-well filter plate-based detection system incorporating evaporation-minimizing films and printed circuit board heaters. This system enables nucleic acid assays within a filter plate while ensuring uniform temperature control across wells and significantly enhancing rinsing efficiency. Additionally, our platform demonstrates a two-fold improvement in the limit of detection compared to conventional tube-based assays, while maintaining high reproducibility across wells. By addressing the key challenges associated with integrating hydrogel microparticle-based assays with filter plates, this system provides a facile, rapid, reliable, and sensitive approach for multiplex nucleic acid detection.

Analytical MethodsVol. 17(43)
Korea University (KR)
Openalex Percentile: Top 69%
Innovative Microfluidic and Catalytic Techniques Innovation
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Using encoded hydrogel microparticles in a 96-well filter plate system for enhanced rinsing efficiency in multiplexed nucleic acid detection — Seok Joon Mun, Hyun Roh, et al. · Analytical Methods (2025) | TGRS Research Map | TGRS