公开(公告)号：US20240210324A1

公开(公告)日：2024-06-27

申请号：US18596665

申请日：2024-03-06

Applicant: WUHAN UNIVERSITY

Inventor： Xiangheng XIAO ,  Shilian DONG ,  Fubing WANG ,  Changzhong JIANG

IPC: G01N21/65 ,  G01N1/28 ,  G01N33/543

CPC classification number: G01N21/658 ,  G01N1/2813 ,  G01N33/54346 ,  G01N2001/2846 ,  G01N2201/1296 ,  G01N2800/7028

Abstract: A spectroscopy and artificial intelligence-interaction serum analysis method includes: collecting bulk SERS spectral data of clinical serum samples, performing dimension reduction on the spectral data by using a covariance matrix to obtain spectral different peak positions of cancer patients and normal individuals, and performing spectral data processing and algorithm identification by using an svm model of an artificial intelligence algorithm to obtain a cancer identification rate. Compared with the conventional serum analysis method, the spectroscopy and artificial intelligence-interaction serum analysis method requires no antibody-antigen or other biological specificity modification processes, and the serum of cancer patients and normal individuals can be identified more cheaply, rapidly and accurately. Also the different peak positions in SERS spectra of a large amount of serum samples can be located, which provides an entirely novel detection and analysis method at a molecular bond energy level for the field of liquid biopsy of clinical cancers.