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同型半胱氨酸的太赫兹特征吸收光谱分析

Terahertz Characteristic Absorption Spectrometric Analysis of Homocysteine

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摘要

对同型半胱氨酸的太赫兹特征吸收光谱进行分析。首先使用密度泛函理论分析同型半胱氨酸分子的振动和转动模式,确保其理论吸收峰位于太赫兹光谱系统可测试范围内;然后,基于太赫兹时域光谱系统测量不同浓度同型半胱氨酸的特征吸收光谱,结合线性拟合方程精确反推出待测同型半胱氨酸的浓度。这些结果对于临床医学中同型半胱氨酸相关疾病的快速准确诊断具有重要意义。

Abstract

We investigate the terahertz characteristic absorption spectra of homocysteine. First, we use the density functional theory to analyze the vibration and rotation modes of homocysteine and ensure that the theoretical absorption peak is within the testing range of the terahertz spectroscopy system. Subsequently, the characteristic absorption spectra of homocysteine with different concentration are measured based on the terahertz time-domain spectroscopy system, which can be accurately performed using the linear fitting equation. These results exhibit considerable significance for the accurate and rapid diagnosis of homocysteine-related diseases in clinical medicine.

Newport宣传-MKS新实验室计划
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中图分类号:O433.4

DOI:10.3788/AOS201939.1030003

所属栏目:光谱学

基金项目:国家重点研发计划重点专项、国家自然科学基金、上海市启明星人才计划、上海市教育发展基金会“曙光计划”、上海市青年拔尖人才开发计划;

收稿日期:2019-05-20

修改稿日期:2019-06-25

网络出版日期:2019-10-01

作者单位    点击查看

王莹莹:上海理工大学光电信息科学与计算机工程学院, 上海 200093上海市现代光学系统重点实验室, 上海 200093
汪丽平:上海理工大学光电信息科学与计算机工程学院, 上海 200093上海市现代光学系统重点实验室, 上海 200093
李恬:上海理工大学光电信息科学与计算机工程学院, 上海 200093上海市现代光学系统重点实验室, 上海 200093
严俊:上海理工大学光电信息科学与计算机工程学院, 上海 200093上海市现代光学系统重点实验室, 上海 200093
彭滟:上海理工大学光电信息科学与计算机工程学院, 上海 200093上海市现代光学系统重点实验室, 上海 200093

联系人作者:彭滟(py@usst.edu.cn)

备注:国家重点研发计划重点专项、国家自然科学基金、上海市启明星人才计划、上海市教育发展基金会“曙光计划”、上海市青年拔尖人才开发计划;

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引用该论文

Wang Yingying,Wang Liping,Li Tian,Yan Jun,Peng Yan. Terahertz Characteristic Absorption Spectrometric Analysis of Homocysteine[J]. Acta Optica Sinica, 2019, 39(10): 1030003

王莹莹,汪丽平,李恬,严俊,彭滟. 同型半胱氨酸的太赫兹特征吸收光谱分析[J]. 光学学报, 2019, 39(10): 1030003

被引情况

【1】王与烨,孙忠成,徐德刚,姜智南,穆宁,杨川燕,陈图南,冯华,姚建铨. 基于太赫兹时域光谱系统的脑缺血检测. 光学学报, 2020, 40(4): 430001--1

【2】聂佳琪,赵欢,张岩. 基于硒化镓晶体差频效应的宽谱太赫兹系统. 激光与光电子学进展, 2020, 57(7): 73001--1

【3】胡军,刘燕德,孙旭东,李斌,徐佳,欧阳爱国. 基于BP神经网络的太赫兹时域光谱对面粉中苯甲酸的定量检测研究. 激光与光电子学进展, 2020, 57(7): 73002--1

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