School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300072, China.
School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300072, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2024 Jan 15;305:123550. doi: 10.1016/j.saa.2023.123550. Epub 2023 Oct 16.
γ-aminobutyric (GABA) is the most important inhibitory neurotransmitier in vertebrate central nervous systems. The content level of GABA is related to the different degree of malignancy gliomas. Thus, it can be considered a promising glioma biomarker. In this paper, the spectroscopic properties of GABA have been characterized by combining the THz spectroscopy with low-wavenumber Raman spectroscopy. The experimental results showed that, GABA exhibited three absorption peaks and three refractive index peaks in the range of 0.6-2.1 THz. The limit of detection can reach up to 0.428 % based on the absorption coefficient at the peak of 2.04 THz. Moreover, the low-wavenumber Raman spectrum of GABA showed seven characteristic peaks at 41.0, 50.8, 58.8, 77.2, 98.8, 115.6, 141.2 cm in 0-150 cm region. Moreover, the THz and low-wavenumber theoretical spectra of GABA were simulated with solid-state density function theory, respectively. The calculated results were in good agreement with the experimental observations. On the basis of calculated result, the vibrational motions of each THz and Raman characteristic modes were quantitatively decomposed by analytical mode-decoupling method, where the contribution percentages of external translation, external librations and intramolecular vibration of each vibration modes were analyzed Furthermore, the low-frequency characteristics of GABA was analyzed by combining the THz and low-wavenumber Raman spectroscopy. It is beneficial for the structural information analysis and quantitative identification of biomarker GABA in early stage diagnosis of glioma.
γ- 氨基丁酸(GABA)是脊椎动物中枢神经系统中最重要的抑制性神经递质。GABA 的含量水平与神经胶质瘤的不同恶性程度有关。因此,它可以被认为是一种很有前途的神经胶质瘤生物标志物。本文结合太赫兹光谱和低波数拉曼光谱,对 GABA 的光谱特性进行了研究。实验结果表明,GABA 在 0.6-2.1THz 范围内表现出三个吸收峰和三个折射率峰。基于 2.04THz 峰值处的吸收系数,检测限可达 0.428%。此外,GABA 的低波数拉曼光谱在 0-150cm 区域内显示出 41.0、50.8、58.8、77.2、98.8、115.6、141.2cm 处的七个特征峰。此外,分别采用固态密度泛函理论对 GABA 的太赫兹和低波数理论光谱进行了模拟,计算结果与实验观察结果吻合较好。在此基础上,通过解析模式解耦法对各太赫兹和拉曼特征模式的振动运动进行了定量分解,分析了各振动模式的外平移、外旋转和分子内振动的贡献百分比。此外,结合太赫兹和低波数拉曼光谱分析了 GABA 的低频特性,这有利于对神经胶质瘤早期诊断中生物标志物 GABA 的结构信息分析和定量鉴定。