红外与毫米波学报2025，Vol.44Issue(5)：762-771,10.DOI:10.11972/j.issn.1001-9014.2025.05.014
近红外光谱血糖检测中温度扰动判别方法研究
Research on discriminant method of temperature perturbation in blood glucose sensing by near-infrared spectroscopy
摘要
Abstract
Near-infrared spectroscopy is a type of molecular vibration spectroscopy.Temperature variations cause changes in molecular vibrations such as O-H and inter molecular forces such as hydrogen bonding,which lead to absorp-tion spectral intensity and peaks changes,affecting the prediction accuracy of minor components such as blood glucose.To address the impact of temperature perturbation on spectral detection and modeling analysis,a method of temperature perturbation discrimination based on aquaphotomics and two-trace two-dimensional correlation spectroscopy(2T2D-COS)was proposed.The 2T2D-COS analysis was applied to diffuse reflectance spectra of simulated solutions under temperature perturbation and varying glucose concentrations.Spectral features induced by changes in temperature and glucose concentration were successfully extracted,revealing distinct water spectral patterns under different perturba-tions.Quantitative analysis shows that temperature changes of 0.1 ℃is equivalent to glucose concentration changes of 45 mg/dL in terms of intensity.A temperature perturbation outliers discrimination model was further established based on raw spectra,water spectral features,and 2T2D-COS asynchronous spectra.The accuracy rates of the model based on 2T2D-COS asynchronous spectra is 95.83%.After removing outliers,the root mean square error of glucose concen-tration prediction is reduced by 51.89%.This work provides a foundation for improving the accuracy of in vivo blood glucose detection using near-infrared spectroscopy.关键词
近红外光谱/双光谱二维相关分析/水光谱分析/温度扰动/判别模型Key words
near-infrared spectroscopy/two-trace two-dimensional correlation analysis/aquaphotomics/temperature perturbation/discriminant model分类
物理学引用本文复制引用
张奕泽,刘蓉,于粤雯,赵东杰,陈文亮,李晨曦..近红外光谱血糖检测中温度扰动判别方法研究[J].红外与毫米波学报,2025,44(5):762-771,10.基金项目
国家重点研发计划(2023YFD1701801,2023YFD1701802),国家自然科学基金(81971657,81871396),天津市自然科学基金重点资助项目(20JCZDJC00630)The National Key R&D Program of China(2023YFD1701801,2023YFD1701802) （2023YFD1701801,2023YFD1701802）
the National Natural Science Foundation of China(81971657,81871396) （81971657,81871396）
the Tianjin Natural Science Foundation(20JCZDJC00630) （20JCZDJC00630）
