摘要
目的采用支持向量回归方法,构建金电极上覆盖生物膜的模型。方法对裸金电极、NC膜-金电极、蛋白-NC膜-金电极3种结构进行电化学阻抗测试,依据其对应的等效电路进行拟合及关键参数提取。利用主成分分析方法选取了信息总量和80%的前4个参数Rs,CPE-P,CPE-T,R1,并以这4个参数为输入,以电极直径为预测值,建立了电极直径的支持向量回归预测模型。结果3组实验的预测结果都与实验结果吻合,平均预测率为82.43%,并采用PC12细胞进行了初步验证。结论基于支持向量回归的生物膜-电极阻抗模型,可对不同直径电极的活化面积预测,对其它生物膜如细胞等在电极上的有效贴附面积和培养状况的量化检测提出定量分析依据。
Objective To provide a quantitative analysis method for biomembranes such as cells of efficient area attached on the electrode surface and the quantitative detection of their culture. Methods Algorithm of support vector machine( SVM) in regression was used to establish the model of biomembrane on the surface of gold electrode and experiments were carried out on the structure of bare gold electrodes,NC membrane-gold electrodes and protein-NC membrane-gold electrodes. Key parameters were simulated and extracted according to their corresponding equivalent circuits: For the group of bare gold electrodes,the 4 best ranking parameters Rs,CPE-P,CPE-T,and R1 were chosen,whose proportion of total information was about 80% according to principal component analysis. Then the 4 parameters were considered as input,the electrode diameter as output,and a prediction SVM of electrode diameter was constructed; As to the other two groups,their equivalent circuits were simplified,similar key parameters were obtained,and the electrode diameters were predicted by the same method. Results The predicted results of the three groups were coherent with the experimental results. The average prediction accuracy rate was 82. 43%,and PC12 cells were used for preliminary verification. Conclusion Biomembrane-electrode impedance analysis based on SVM could reflect the quantitative activation degree of electrode area in the electrochemical experiment,predict activation areas of different diameters of electrodes,and provide a quantitative analysis method for cellular biomembrane of the efficient area attached on the electrode surface and the quantitative detection of their culture.
作者
徐莹
代燕
李超
梅婉欣
杨勇
Xu Ying;Dai Yan;Li Chao;Mei Wanxin;Yang Yong(Biomedical Engineering Institute,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China)
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2018年第6期637-644,共8页
Space Medicine & Medical Engineering
基金
国家自然科学基金(61871165)
浙江省科技厅公益项目(2016C33078,2017C33055)
关键词
支持向量回归
生物膜
电化学阻抗法
主成分分析
support vector regression
biomembrane
electrochemical impedance spectroscopy
principal component analysis
