Machine learning–assisted internal standard calibration label-free SERS strategy for colon cancer detection-Reference-Cited by-同舟云学术

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Machine learning–assisted internal standard calibration label-free SERS strategy for colon cancer detection

Published:2023-02-13 Issue:9 Volume:415 Page:1699-1707
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Peng Shirun,Lu Dechan,Zhang Bohan,You Ruiyun,Chen Jingbo,Xu Huiyao,Lu Yudong

Funder

Fujian Provincial Department of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s00216-023-04566-1.pdf

Reference29 articles.

1. Sato K, Ito S, Kitagawa T, Hirahata K, Hihara D, Tominaga K, et al. A prospective randomized study of the use of an ultrathin colonoscope versus a pediatric colonoscope in sedation-optional colonoscopy. Surg Endosc. 2017;31(12):5150–8.

2. Slattery ML, Edwards SL, Ma KN, Friedman GD. Colon cancer screening, lifestyle, and risk of colon cancer. Cancer Causes Control. 2000;11(6):555–63.

3. Li M, Cushing SK, Wu N. Plasmon-enhanced optical sensors: a review. Analyst. 2015;140(2):386–406.

4. Shan B, Pu Y, Chen Y, Liao M, Li M. Novel SERS labels: rational design, functional integration and biomedical applications. Coord Chem Rev. 2018;371:11–37.

5. Li SX, Zhang YJ, Zeng QY, Li LF, Guo ZY, Liu ZM, et al. Potential of cancer screening with serum surface-enhanced Raman spectroscopy and a support vector machine. Laser Phys Lett. 2014;11(6):065603.

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