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| Content Provider | Springer Nature Link |
|---|---|
| Author | Hu, Ning Fang, Jiaru Zou, Ling Wan, Hao Pan, Yuxiang Su, Kaiqi Zhang, Xi Wang, Ping |
| Copyright Year | 2016 |
| Abstract | Cell-based bioassays were effective method to assess the compound toxicity by cell viability, and the traditional label-based methods missed much information of cell growth due to endpoint detection, while the higher throughputs were demanded to obtain dynamic information. Cell-based biosensor methods can dynamically and continuously monitor with cell viability, however, the dynamic information was often ignored or seldom utilized in the toxin and drug assessment. Here, we reported a high-efficient and high-content cytotoxic recording method via dynamic and continuous cell-based impedance biosensor technology. The dynamic cell viability, inhibition ratio and growth rate were derived from the dynamic response curves from the cell-based impedance biosensor. The results showed that the biosensors has the dose-dependent manners to diarrhetic shellfish toxin, okadiac acid based on the analysis of the dynamic cell viability and cell growth status. Moreover, the throughputs of dynamic cytotoxicity were compared between cell-based biosensor methods and label-based endpoint methods. This cell-based impedance biosensor can provide a flexible, cost and label-efficient platform of cell viability assessment in the shellfish toxin screening fields. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISSN | 13872176 |
| Journal | Biomedical Microdevices |
| Volume Number | 18 |
| Issue Number | 5 |
| e-ISSN | 15728781 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-09-19 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Cell-based impedance biosensor Dynamic and continuous recording Cell viability Cell growth rate Okadiac acid Biomedical Engineering Biological and Medical Physics, Biophysics Nanotechnology Engineering Fluid Dynamics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nanoscience and Nanotechnology Molecular Biology Biomedical Engineering |
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