High Sensitive Au Nanoparticles Igzo FET Cancer Sensor Via Real-Time Analysis Micro-Fluid Separation

Abstract

The bio-sensor technologies to detect cancer cells have been attracted much attention because detecting the presence of a cancer in a human blood at an early stage can extend the human lifetime. To diagnose a cancer in human normal blood cells, electrical biosensors such as carbon nanotube field-effective transistor, AlGaN/GaN HEMT, reduced graphene oxide TFT, Si nanowire FET, PEDOT:PSS conducting paper, and ZnO nano-rods have been intensively studied because they detect and diagnose the type and amount of cancer cell by estimating the electrical charge amount of the cancer cell in the human blood. However, they have not demonstrated for detecting and diagnosing a cancer cell in circulating cancer stem cell (CCSC). In our study, thus, we cultured breast cancer cell (BCC) line, MDA-MB-231, and designed cancer detecting system in which the detection devices are implemented with a separation device to separate the cancer cell from mixed solution of cancer cell line and normal blood by utilizing both size and deformability of cancer cell. In particular, we designed a real time enumeration image analysis tool to acquire morphology data of breast cancer cell line for image-based cell analysis. For detecting the cancer cell via determining the threshold voltage shift (∆Vth) of field effect transistor (FET), an In-Ga-Zn-Oxide (IGZO) based FET implemented with Au nano-particles (NPs) was fabricated. For the experimental process, the 10-μL solution of separated cancer cell lines connected with the cancer-anti-body (CD-44) was dropped on the IGZO FET channel with Au NPs where a linker (8-Mercaptooctanoic acid) was attached on Au NPs. Consequently, we successfully demonstrated the separation of cancer cell from normal blood sample and after dropping cancer cell on the detection device the ∆Vth value was shifted negative direction. Furthermore, we observed the fluorescent staining image of cancer cell separated from normal blood sample. We report the separation and detection system which enables to separate and detect cancer cell. Figure 1