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近红外光谱技术应用于癌症检测的研究进展

朗韦玮 李嘉晨 董林毅 韩丽

分析化学2024,Vol.52Issue(9):1225-1233,9.
分析化学2024,Vol.52Issue(9):1225-1233,9.DOI:10.19756/j.issn.0253-3820.241198

近红外光谱技术应用于癌症检测的研究进展

Advances of Near-Infrared Spectroscopy in Cancer Diagnosis

朗韦玮 1李嘉晨 2董林毅 1韩丽1

作者信息

  • 1. 天津医科大学药学院,天津 300070
  • 2. 天津医科大学药学院,天津 300070||天津市第五中心医院生态城医院,天津 300467
  • 折叠

摘要

Abstract

Near-infrared(NIR)spectroscopy reflects the vibrational information of hydrogen-containing groups,allowing the detection of changes in components such as proteins and lipids in biological samples caused by diseases.Due to the advantages such as rapidity,non-destructiveness and non-invasiveness,NIR spectroscopy has been widely used in disease diagnosis.Malignant tumor cells exhibit significant differences in structure and composition compared to normal cells,and abnormal metabolic functions cause changes in the composition of biological tissues and fluids,leading to the variation in spectra.This makes NIR spectroscopy a promising tool for detecting cancer.However,severe overlapping of spectral peaks in the spectra requires the help of chemometrics methods to analyze the spectra and extract diagnostic information.This review summarizes the recent advances in NIR spectroscopy technology in cancer detection,including the methods of spectral preprocessing,diagnosis modeling and the development in NIR hyperspectral imaging combined with deep learning methods.The quantitative information and structural changes of molecules in biological systems can be extracted.Furthermore,the sensitivity of NIR spectra to water is utilized to analyze the content and structural changes of water induced by cancer and its role in cancer detection.

关键词

近红外光谱/癌症诊断/化学计量学/定量分析/结构分析/评述

Key words

Near-infrared spectra/Cancer diagnosis/Chemometrics/Quantitative analysis/Structural analysis/Review

引用本文复制引用

朗韦玮,李嘉晨,董林毅,韩丽..近红外光谱技术应用于癌症检测的研究进展[J].分析化学,2024,52(9):1225-1233,9.

基金项目

天津市教委科研计划项目(No.2022ZD053)资助. Supported by the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(No.2022ZD053). (No.2022ZD053)

分析化学

OA北大核心CSTPCD

0253-3820

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