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Plasmonic Molecular Entrapment for Label‐Free Methylated DNA Detection and Machine‐Learning Assisted Quantification (Adv. Sci. 29/2025)

Year: 2025

Type: article

Abstract: Label-Free Diagnosis The artwork highlights a breakthrough method for detecting and quantifying global DNA methylation. This highly sensitive approach leverages in situ surface growth of plasmonic particles to enable molecular trapping and label-free sensing. Combined with machine learning analysis, it allows precise quantification of global methylation levels, offering a promising strategy for early cancer diagnosis and comprehensive epigenetic profiling. More details can be found in article number 2503257 by Min-Young Lee, Ho Sang Jung, and co-workers

Source: Advanced Science

DOI: 10.1002/advs.71025

Authors: Muhammad Shalahuddin Al Ja'farawy, Vo Thi Nhat Linh, Chaewon Mun, Jun‐Yeong Yang, Jun Young Kim, Rowoon Park, Sung‐Gyu Park, Dong‐Ho Kim, Min‐Young Lee, Ho Sang Jung

Language: English

Topic: Gold and Silver Nanoparticles Synthesis and Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $6,730

OpenAlex ID: W4413040969

FWCI:

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