Hybrid-Free DNA Test by Band Engineering of Nitride Semiconductor and Machine Learning
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
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
References (46)
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