Chinese Optics Letters, Volume. 18, Issue 5, 051701(2020)

Detection of breast cancer based on novel porous silicon Bragg reflector surface-enhanced Raman spectroscopy-active structure

Xiaorong Ma1, Hong Cheng2, Junwei Hou, Zhenhong Jia、*, Guohua Wu, Xiaoyi Lü、**, Hongyi Li, Xiangxiang Zheng, and Chen Chen
Author Affiliations
  • 1School of Physical Science and Technology, Xinjiang University, Urumqi 830046, China
  • 2Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830000, China
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    In this Letter, the surface-enhanced Raman scattering (SERS) signal of early breast cancer (BRC) patient serum is obtained by a composite silver nanoparticles (Ag NPs) PSi Bragg reflector SERS substrate. Based on these advantages, the serum SERS signals of 30 normal people and 30 early BRC patients were detected by this substrate. After a baseline correction of the experimental data, principal component analysis and linear discriminant analysis were used to complete the data processing. The results showed that the diagnostic accuracy, specificity, and sensitivity of the composite Ag NPs PSi Bragg reflector SERS substrate were 95%, 96.7%, and 93.3%, respectively. The results of this exploratory study prove that the detection of early BRC serum based on a composite Ag NPs PSi Bragg reflector SERS substrate is with a stable strong SERS signal, and an unmarked and noninvasive BRC diagnosis technology. In the future, this technology can serve as a noninvasive clinical tool to detect cancer diseases and have a considerable impact on clinical medical detection.

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    Xiaorong Ma, Hong Cheng, Junwei Hou, Zhenhong Jia, Guohua Wu, Xiaoyi Lü, Hongyi Li, Xiangxiang Zheng, Chen Chen. Detection of breast cancer based on novel porous silicon Bragg reflector surface-enhanced Raman spectroscopy-active structure[J]. Chinese Optics Letters, 2020, 18(5): 051701

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    Paper Information

    Category: Biomedical Optics

    Received: Nov. 28, 2019

    Accepted: Jan. 16, 2020

    Published Online: May. 6, 2020

    The Author Email: Zhenhong Jia (jzhh@xju.edu.cn), Xiaoyi Lü (xiaoz813@163.com)

    DOI:10.3788/COL202018.051701

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