Highly-sensitive graphene field effect transistor biosensor using PNA and DNA probes for RNA detection
Highly-sensitive graphene field effect transistor biosensor using PNA and DNA probes for RNA detection
复制标题
使用 PNA 和 DNA 探针进行 RNA 检测的高灵敏度石墨烯场效应晶体管生物传感器
DOI：
10.1016/j.apsusc.2020.146839
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发表时间：
2020-10-15
影响因子：
6.7
通讯作者：
Wang, Jihua
中科院分区：
文献类型：
--
作者：
Tian, Meng;Qiao, Mei;Wang, Jihua
基于DNA探针的生物传感器已被广泛开发用于检测一系列分析物。然而，基于DNA探针的传感器存在许多问题，例如杂交时间长、背景电噪声和相对较差的特异性。本文报道了石墨烯场效应晶体管（G-FET）生物传感器以PNA和DNA为探针对RNA的超灵敏检测。PNA探针修饰的G-FET传感器的检测限（LOD）低至0.1aM，比DNA探针修饰的G-FET传感器低三个数量级。我们证明了PNA和DNA探针修饰的G-FET在RNA的定量检测中具有很大的潜力。PNA探针修饰的G-FET和DNA探针修饰的G-FET分别在0.1 aM至1 pM和100 aM至1 pM的宽范围内获得对RNA浓度的良好线性电响应。与DNA探针修饰的G-FET传感器相比，PNA探针修饰的G-FET传感器显著减少了检测时间。此外，PNA探针修饰的G-FET生物传感器对非互补RNA的电响应可以忽略不计，显示出对RNA检测的高特异性。更重要的是，G-FET传感器还用于检测人血清中的RNA，使其成为未来生物医学研究和早期临床诊断中检测RNA的一种有前途的方法。
DNA probe-based biosensors have been widely developed for detecting a range of analytes. However, the DNA probe-based sensors suffer from many problems, such as long hybridization time, background electrical noise, and relatively poor specificity. In this paper, we report the ultrasensitive detection for RNA by graphene field effect transistor (G-FET) biosensor using PNA and DNA probes. The limit of detection (LOD) of the PNA probe modified G-FET sensor is down to 0.1 aM, which is three orders of magnitude lower than that of DNA probe modified G-FET sensor. We demonstrate that both PNA and DNA probe-modified G-FET have great potential in quantitative detection of RNA. A good linear electrical response to RNA concentrations is obtained in a broad range from 0.1 aM to 1 pM for PNA probe-modified G-FET and from 100 aM to 1 pM for DNA probe-modified GFET, respectively. The PNA probe-modified G-FET sensors significantly reduce the detection time compared to DNA probe-modified G-FET sensors. Moreover, the electrical response of PNA probe-modified G-FET biosensor to non-complementary RNA is negligible, showing high specificity for RNA detection. What's more, the G-FET sensor was also used to detect RNA in human serum, making it a promising way for future detection of RNA in biomedical research and early clinical diagnosis.