Department of Biomaterials, College of Materials, Xiamen University, Xiamen, 361005, China.
Department of Biomaterials, College of Materials, Xiamen University, Xiamen, 361005, China; Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory for Physical Chemistry of Solid Surfaces, and Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China.
Biosens Bioelectron. 2019 Oct 1;142:111520. doi: 10.1016/j.bios.2019.111520. Epub 2019 Jul 16.
The excellent conductivity matching of two-dimensional (2D) semiconductor nanomaterials (e.g. MoS) with cancer cell plays an important role in ultrasensitive label-free impedimetric detection of circulating tumor cells (CTC) (<1 cell/mL). Firstly, 2D semiconductor materials (e.g. 2D MoS) exfoliated by folic acid (FA) is used to construct MoS/FA-modified gold electrode (AuE/MoS/FA). Then, the fabricated electrode is applied for HeLa cell detection in a linear range from 1 to 10 cell/mL with a detection limit of 0.43 cell/mL (S/N = 3). The detection mechanism of high sensitivity might be owing to the electric conductivity matching of MoS (0.14 S/m) to cancer cell (0.13-0.23 S/m). A negligible conductivity change induced by cancer cell will produce a large impedance change of semiconductor electrode. Furthermore, HeLa cells dispersed in healthy blood samples are detected by suggested cytosensor in a linear range from 50 to 10 cell/mL with a detection limit of 52.24 cell/mL (S/N = 2). Finally, we demonstrate that the cytosensor is capable of differentiating patients of cervical and liver cancers by the real CTC analysis from healthy control.
二维（2D）半导体纳米材料（如 MoS）与癌细胞的优异导电性匹配在超灵敏无标记的循环肿瘤细胞（CTC）(<1 细胞/mL)阻抗检测中起着重要作用。首先，用叶酸（FA）剥离的二维半导体材料（如 2D MoS）被用于构建 MoS/FA 修饰的金电极（AuE/MoS/FA）。然后，将制备的电极用于 HeLa 细胞检测，线性范围为 1 到 10 细胞/mL，检测限为 0.43 细胞/mL（S/N=3）。高灵敏度的检测机制可能归因于 MoS（0.14 S/m）与癌细胞（0.13-0.23 S/m）之间的电导率匹配。癌细胞引起的电导率的微小变化会导致半导体电极的阻抗发生很大变化。此外，建议的细胞传感器可在 50 到 10 细胞/mL 的线性范围内检测分散在健康血液样本中的 HeLa 细胞，检测限为 52.24 细胞/mL（S/N=2）。最后，我们通过从健康对照中实际的 CTC 分析证明了该细胞传感器能够区分宫颈癌和肝癌患者。
