References
- Iannilli, E.;. Studying Human Gustation: A Multidisciplinary Approach. J. Neurosci. Res. 2019, 97(3), 228–229. DOI: https://doi.org/10.1002/jnr.24375.
- Samant, S. S.; Seo, H. S. Personality Traits Affect the Influences of Iotensity Perception and Emotional Responses on Hedonic Rating and Preference Rank toward Basic Taste Solution. J. Neurosci. Res. 2019, 97(3), 276–291. DOI: https://doi.org/10.1002/jnr.24321.
- Wei, X. W.; Qin, C. L.; Gu, C. L.; He, C. L.; Yuan, Q. C.; Liu, M. X.; Zhuang, L. J.; Wan, H.; Wang, P. A Novel Bionic in Vitro Bioelectronic Tongue Based on Cardiomyocytes and Microelectrode Array for Bitter and Umami Detection. Biosens. Bioelectron. 2019, 145, 111673. DOI: https://doi.org/10.1016/j.bios.2019.111673.
- Pan, Y. X.; Hu, N.; Wei, X. W.; Gong, L.; Zhang, B.; Wan, H.; Wang, P. 3D Cell-based Biosensor for Cell Viability and Drug Assessment by 3D Electric Cell/matrigel-substrate Impedance Sensing. Biosens. Bioelectron. 2019, 130, 344–351. DOI: https://doi.org/10.1016/j.bios.2018.09.046.
- Lei, K. F.; Wu, M. H.; Hsu, C. W.; Chen, Y. D. Real-time and Non-invasive Impedimetric Monitoring of Cell Proliferation and Chemosensitivity in a Perfusion 3D Cell Culture Microfluidic Chip. Biosens. Bioelectron. 2014, 51, 16–21. DOI: https://doi.org/10.1016/j.bios.2013.07.031.
- Liu, Q. J.; Wu, C. S.; Cai, H.; Hu, N.; Zhou, J.; Wang, P. Cell-Based Biosensors and Their Application in Biomedicine. Chem. Rev. 2014, 114, 6423–6461.
- Hui, G.; Lu, H.; Jiang, Z,; Zhu, D.; Wan, H. Study of small-cell lung cancer cell-based sensor and its applications in chemotherapy effects rapid evaluation for anticancer drugs. Biosensors & Bioelectronics, 2017, 97, 184-195. DOI: https://doi.org/10.1016/j.bios.2017.05.050.
- Zou, L.; Wu, C. S.; Wang, Q.; Zhou, J.; Su, K. Q.; Li, H. B.; Hu, N.; Wang, P. An Improved Sensitive Assay for the Detection of PSP Toxins with Neuroblastoma Cell-based Impedance Biosensor. Biosens. Bioelectron. 2015, 67, 458–464. DOI: https://doi.org/10.1016/j.bios.2014.09.005.
- Park, C. Y.; Min, J. H.; Kim, Y. S.; Song, H. J.; Kim, J. D. Development of Portable Electrical-cell-substrate Impedance Sensing System. Sens. Mater. 2019, 31(2), 253–259. DOI: https://doi.org/10.18494/SAM.2019.2091.
- Park, C. Y.; Lee, M. S.; Kim, Y. S.; Song, H. J.; Kim, J. D. Web-based User Interface for Electrical Cell-substrate Impedance Sensing System. Sens. Mater. 2018, 30(10), 2161–2169. DOI: https://doi.org/10.18494/SAM.2018.1818.
- Susloparova, A.; Koppenhöfer, D.; Law, J. K. Y.; Vua, X. T.; Ingebrandt, S. Electrical Cell-substrate Impedance Sensing with Field-effect Transistors Is Able to Unravel Cellular Adhesion and Detachment Processes on a Single Cell Level. Lab Chip. 2015, 15(3), 668–679. DOI: https://doi.org/10.1039/C4LC00593G.
- Gamal, W.; Treskes, P.; Chesne, C.; Plevris, J. N.; Bagnaninchi, P.-O.; Nelson, L. J. P333 Human Hepatic Cc-Culture Model As A Sensitive And Non-Invasive Toxicological Platform Uing ECIS (Electrical Cell-Substrate Impedance Sensing) Biosensors. J. Hepatol. 2011, 136, 177–178.
- Hong, J.; Kandasamy, K.; Marimuthu, M.; Choic, C. S.; Kim, S. Electrical Cell-substrate Impedance Sensing as a Non-invasive Tool for Cancer Cell Study. Analyst. 2011, 136(2), 237–245. DOI: https://doi.org/10.1039/C0AN00560F.
- Wang, L.; Wang, H.; Wang, L.; Mitchelson, K.; Yu, Z. Y.; Cheng, J. Analysis of the Sensitivity and Frequency Characteristics of Coplanar Electrical Cell–substrate Impedance Sensors. Biosens. Bioelectron. 2008, 24(1), 14–21. DOI: https://doi.org/10.1016/j.bios.2008.03.018.
- Qiu, Y.; Liao, R.; Zhang, X. Real-time Monitoring Primary Cardiomyocyte Adhesion Based on Electrochemical Impedance Spectroscopy and Electrical Cell− Substrate Impedance Sensing. Anal. Chem. 2008, 80(4), 990–996. DOI: https://doi.org/10.1021/ac701745c.
- Hui, G.; Zhang, J.; Li, J.;Feng, H. Sucrose quantitative and qualitative analysis from tastant mixtures based on Cu foam electrode and stochastic resonance. Food Chemistry, 2016, 197, 1168-1176. DOI: https://doi.org/10.1016/j.foodchem.2015.11.091.
- Feng, H.; Huang, Z.; Lou, X,; Li, J.; Hui, G. Study of a Sucrose Sensor by Functional Cu Foam Material and Its Applications in Commercial Beverages. Food analytical methods, 2017, 10, 407-418. DOI: https://doi.org/10.1007/s12161-016-0580-9.
- Dong, H. T.; Wang, H. Y.; Shen, X. H.; He, K. Parameter Matched Stochastic Resonance with Damping for Passive Sonar Detection. J. Sound Vib. 2019, 458, 479–496. DOI: https://doi.org/10.1016/j.jsv.2019.06.021.
- Fang, X.; Mei, Z.; Chen, J.; Xiong, S.; Ning, J.; Jiang, C.; Gao, Y.; Yi, X.; Hui, G. A Trehalose Quantitative Sensor Based on Ni Foam Material Modified with Graphene Oxidated and Non-linear Analysis Model. Food analytical methods, 2021. DOI: https://doi.org/10.1007/s12161-021-02028-x.
- Liu, G. K.; Kang, Y. M.; Quan, H. D.; Sun, H. X.; Cui, P. Z.; Guo, C. The Detection Performance of the Dual-Sequence-Frequency-Hopping Signal via Stochastic Resonance Processing under Color Noise. Radio Eng. 2019, 28, 618–626.
- Ying, X.; Lin, H.; Hui, G. Study on Non-linear Bistable Dynamics Model Based EEG Signal Discrimination Analysis Method. Bioengineered. 2015, 6(5), 297–298. DOI: https://doi.org/10.1080/21655979.2015.1065360.
- Ying, X.; Liu, W.; Hui, G. Litchi Freshness Rapid Non-destructive Evaluating Method Using Electronic Nose and Non-linear Dynamics Stochastic Resonance Model. Bioengineered. 2015, 6(4), 218–221. DOI: https://doi.org/10.1080/21655979.2015.1011032.
- Huang, R.; Ning, J.; Mei, Zheng.; Fang, X.; Yi, X.; Gao, Y.; Hui, G. Study of delivery path optimization solution based on improved ant colony model. Multimedia Tools and Applications. 2021. DOI: https://doi.org/10.1007/s11042-021-11142-1.
- Zheng, H.; Ying, X.; Wang, W.; Chen, Z.; Shao, C.; Zhou, H.; Wang, S.; Ping, X.; Li, J.; Yi, X. Study of Sensitivity Evaluation on Ridgetail White Prawn (Exopalaemon Carinicauda) Quality Examination Methods. Int. J. Food Prop. 2019, 22(1), 942–951.
- Zheng, H.; Wang, S.; Ping, X.; Shao, C.; Zhou, H.; Xiang, B.; Li, J.; Lou, X.; Yi, X.; Guohua, H. Study of Spinyhead Croaker (Collichthys Lucidus) Fat Content Forecasting Model Based on Electronic Nose and Non-linear Data Resolution Model. Food Anal. Methods. 2019, 12(9), 1927–1937.