高灵敏检测传感芯片应用于脑胶质瘤疾病检测

Application of high sensitive detection sensor chip in detection of brain glioma disease

  • 摘要: 太赫兹波因其指纹谱识别和无损探测等特性可被应用于物质的快速定性与定量识别。现阶段太赫兹技术方法对物质含量检测的下限在毫克量级,然而实际生物医学样本中待测物的浓度通常在微克量级甚至以下,现有方法限制了其检测灵敏度和可行性。研究中以脑胶质瘤里的特异性物质肌醇(MI)和γ-氨基丁酸(GABA)为例,基于电容电感效应,设计了一款增强太赫兹检测灵敏度的超材料芯片。然后通过测试MI和GABA在不同浓度下的太赫兹光谱,证明其各自随着浓度的变化,芯片谐振峰频移呈现不同的规律,从而进行有效的定性识别,且对于MI和GABA的已知样品,可以根据频移规律实现定量分析。根据实验数据计算可得,所设计的芯片对这两种样品含量检测下限分别为3.457 µg和2.552 µg,与传统压片法的检测极限相比提高了三个数量级。这些结果对后期生物医学中定性和定量检测疾病的微量特异性物质具有重要参考价值。

     

    Abstract: Terahertz wave can be applied to the rapid qualitative and quantitative identification of substances because of its characteristics of fingerprint identification and non-destructive detection. At present, the detection limit of terahertz technology is in the order of milligram. However, the concentration of the tested substance in the actual biomedical samples is usually in the order of microgram or even below, which limits the detection sensitivity and feasibility. In this study, by taking the glioma biomarkers: inositol (MI) and gamma aminobutyric acid (GABA) as an example, based on the inductive-capacitive (LC) resonance, a metamaterial chip was designed to enhance THz detection sensitivity. Then, the terahertz spectra of the chip covered by MI and GABA at different concentrations was tested to prove that their resonance frequency shifts show different rules with the change of concentration, basing on which the qualitative identification could be achieved. And for known samples of MI and GABA, quantitative analysis could be achieved according to the frequency shifts law. According to calculations based on experimental data, the lower detection limits of proposed chip for these two samples are 3.457 µg and 2.552 µg, respectively, which are three orders of magnitude higher than the detection limit of the conventional tableting method. These results have important reference value for the qualitative and quantitative detection of trace specific substances of diseases in later biomedicine.

     

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