@inproceedings{08257718c90b4d00a6cb1eca255682bf,
title = "Label-free and high-sensitive detection for genetic point mutation based on hyperspectral interferometry",
abstract = "Label free point mutation detection is particularly momentous in the area of biomedical research and clinical diagnosis since gene mutations naturally occur and bring about highly fatal diseases. In this paper, a label free and high sensitive approach is proposed for point mutation detection based on hyperspectral interferometry. A hybridization strategy is designed to discriminate a single-base substitution with sequence-specific DNA ligase. Double-strand structures will take place only if added oligonucleotides are perfectly paired to the probe sequence. The proposed approach takes full use of the inherent conformation of double-strand DNA molecules on the substrate and a spectrum analysis method is established to point out the sub-nanoscale thickness variation, which benefits to high sensitive mutation detection. The limit of detection reach 4pg/mm2 according to the experimental result. A lung cancer gene point mutation was demonstrated, proving the high selectivity and multiplex analysis capability of the proposed biosensor.",
keywords = "high sensitivity, hyperspectral interferometry, label free, point mutation detection",
author = "Rongxin Fu and Qi Li and Junqi Zhang and Ruliang Wang and Xue Lin and Ning Xue and Ya Su and Kai Jiang and Guoliang Huang",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Optics in Health Care and Biomedical Optics VII ; Conference date: 12-10-2016 Through 14-10-2016",
year = "2016",
doi = "10.1117/12.2246119",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yuguo Tang and Xingde Li and Ying Gu and Dan Zhu and Qingming Luo",
booktitle = "Optics in Health Care and Biomedical Optics VII",
address = "United States",
}