Статья

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

Xiaorong MaSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, ChinaHong ChengAffiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830000, ChinaJunwei HouDepartment of Engineering, China University of Petroleum-Beijing, Keramayi 834000, ChinaZhenhong JiaSchool of Information Science & Engineering, Xinjiang University, Urumqi 830046, ChinaGuohua WuSchool of Electronic Engineering,Beijing University of Posts and Telecommunications, Beijing 100876, China)Xiaoyi LüSchool of Information Science & Engineering, Xinjiang University, Urumqi 830046, ChinaHongyi LiQuality of Products Supervision and Inspection Institute, Urumqi 830011, ChinaXiangxiang ZhengSchool of Electronic Engineering,Beijing University of Posts and Telecommunications, Beijing 100876, China)Chen ChenSchool of Information Science & Engineering, Xinjiang University, Urumqi 830046, China

2020en

ABI

Аннотация

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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Идентификаторы

DOI: 10.3788/col202018.051701

Цитирования и источники

Цитирований: 3Использованных источников: 0

Показатели — AkademScholar