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- W3215702610 abstract "Ovarian cancer has the highest mortality rate in the world. Therefore, it is urgent but still challenging to develop an efficient circulating tumor cell (CTC) detection method to sensitively detect ovarian cancer. To address such issues, herein, for the first time, we present a novel CTC detection method for ovarian cancer cells by designing sensitive and rapid graphene-based biosensors. This graphene-based sensor, consisting of a cell pool and two electrodes, can be prepared by a conventional chip fabrication process. It demonstrates high-sensitivity detection even for several ovarian cancer cells by comparing the electrical signal before and after adding cell solution. Moreover, the graphene-based biosensors can perform rapid detection with good repeatability. This suggests that this novel method is possible to use for the early detection of ovarian cancer with very low CTC cell concentration. This work provides a novel and quick strategy to detect ovarian cancer and further judge or predict the risk of the transfer of ovarian cancer." @default.
- W3215702610 created "2021-12-06" @default.
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- W3215702610 date "2021-11-30" @default.
- W3215702610 modified "2023-09-29" @default.
- W3215702610 title "Graphene-Based Biosensors with High Sensitivity for Detection of Ovarian Cancer Cells" @default.
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- W3215702610 doi "https://doi.org/10.3390/molecules26237265" @default.
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