Label‐free diagnosis for colorectal cancer through coffee ring‐assisted surface‐enhanced Raman spectroscopy on blood serum

• Published in: Journal of biophotonics Vol. 13; no. 4; pp. e201960176 - n/a
• Main Authors: Hong, Yan, Li, Yongqiang, Huang, Libin, He, Wei, Wang, Shouxu, Wang, Chong, Zhou, Guoyun, Chen, Yuanming, Zhou, Xin, Huang, Yifeng, Huang, Wen, Gong, Tianxun, Zhou, Zongguang
• Format: Journal Article
• Language: English
• Published: Weinheim WILEY‐VCH Verlag GmbH & Co. KGaA 01.04.2020; Wiley Subscription Services, Inc
• Subjects: Antigens; Blood; Cancer; Carcinoembryonic antigen; Coffee; Colorectal cancer; colorectal cancer diagnosis; Colorectal carcinoma; Data analysis; Diagnosis; label‐free detection; Learning algorithms; Machine learning; Nanoparticles; Pretreatment; Principal components analysis; Raman spectroscopy; SERS; Spectra; Spectroscopy; Spectrum analysis; label-free detection; nanoparticles; machine learning; SERS; colorectal cancer diagnosis

Surface‐enhanced Raman spectroscopy (SERS) is garnering considerable attention for the swift diagnosis of pathogens and abnormal biological status, that is, cancers. In this work, a simple, fast and inexpensive optical sensing platform is developed by the design of SERS sampling and data analysis. T...