journal article·2025-04-22Open access

Hybrid-Free DNA Test by Band Engineering of Nitride Semiconductor and Machine Learning

Thi Anh Nguyet Nguyen, Fan-Ching Chien, Thuy Doan Khanh Huynh, Huy Kim Nhat, Yu-Chi Chiu, Hao-Tsung Yang, Chen-Yi Yu, Chih-Ming Wang, Jian-Zong Lai, Duy Thanh Cu, Chien Cheng Kuo, Kun-Yu Lai

Abstract

High Resolution Image Download MS PowerPoint Slide Deoxyribonucleic acid (DNA) testing is a key step in personalized medical treatments. The technique often involves hybridization between complementary single DNA strands to identify the target gene. However, the formation of a hybrid DNA is slow. To capture the target quickly, we present a label-free hybrid-free DNA detection by surface-enhanced Raman spectroscopy (SERS), whose performances are boosted by InGaN quantum wells (QWs) and machine learning. This is realized by tuning the energy states of QWs, within which the confined electrons resonate with those vibrating on the oligonucleotide and the roughened aluminum (Al) surface. The QW-Al-DNA resonance promotes many minor SERS signals to the detectable level, allowing the machine to identify four distinct circulating tumor DNAs responsible for pancreatic, thyroid, lung, and breast cancers in 1 h.
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Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Integrated Circuits and Semiconductor Failure Analysis · DNA and Biological Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Optics and Photonics

National Central University

Department of Pulmonary Medicine, Ministry of Health and Welfare

Taoyuan General Hospital

Department of Nursing

Yuanpei University of Medical Technology

Department of Computer Science and Information Engineering

Funding

National Science and Technology Council

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