arrow
返回

Information visualization and machine learning driven methods for impedimetric biosensing

delete2023-08-01
delete6
PRE
AI
F
Flávio M. Shimizu
A
Anerise de Barros
M
Maria Luisa Braunger
G
Gabriel Gaál
A
Antônio Riul *
DOI:10.1016/j.trac.2023.117115delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This review addresses the convergence of impedimetric biosensing technologies and computational methods facilitating data information visualization. The literature brings various methodologies and analytical techniques associated with impedance measurements for biosensing, ranging from versatile testing platforms to management decisions according to the reported detection level. To this end, there has been a growing need for multivariate methods in data analysis, with a steady increase in machine learning methods to determine biosensing parameters. It has been expanded to calibration, analysis, classification, regression procedures, and more recently, calibration space and data inspection rules to optimize the device performance. Consequently, there has been a significant improvement in the automation and accuracy of data, with immediate impacts on diagnostics and protocols in recent years. We focus here on impedimetric biosensing and how multivariate methods combined with machine learning tools (artificial neural network, random forest, decision three, support vector machine, etc.) contribute to the outstanding performance of these devices.
Keyword:
Impedance
Information visualization
Machine learning
Biosensor

期刊

TRAC-Trends in Analytical Chemistry 封面图
TRAC-Trends in Analytical Chemistry
IF:
12
论文数:
7.3K
被引数:
3.9W

机构

U
universidade estadual de campinas
学者数:
3.3W
论文数: 2.3W
被引数: 19
引用论文

引用论文

Dual-modality impedimetric immunosensor for early detection of prostate-specific antigen and myoglobin markers based on antibody-molecularly imprinted polymer
errTALANTA
IF6.1
err2019-09-01
err106
errOAAI
errKarami, Pari; Bagheri, Hasan; Johari-Ahar, Mohammad; Khoshsafar, Hosein; Arduini, Fabiana; Afkhami, Abbas
err分享
err收藏
Altered mucins and aquaporins indicate dry eye outcome in patients undergoing Vitreo-retinal surgery
err2020-05-21
err0
errOAAI
errRamalingam Mani; P. S. Shobha; Saravanan Thilagavathi; Padmanabhan Prema; Natarajan Viswanathan; Ratra Vineet; Ratra Dhanashree; Narayanasamy Angayarkanni
err分享
err收藏
Genosensor made with a self-assembled monolayer matrix to detect MGMT gene methylation in head and neck cancer cell lines用自组装单层基质制成的Genosensor检测头颈部癌细胞系中的MGMT基因甲基化
errTALANTA
IF6.1
err2020-04-01
err34
PREAI
errCarr, Olivia; Raymundo-Pereira, Paulo A.; Shimizu, Flavio M.; Sorroche, Bruna Pereira; Melendez, Matias Eliseo; Pedro, Rafael de Oliveira; Miranda, Paulo B.; Carvalho, Andre Lopes; Reis, Rui M.; Arantes, Lidia M. R. B.; Oliveira, Osvaldo N., Jr.
err分享
err收藏
Nanostructured functional peptide films and their application in C-reactive protein immunosensors
err2021-04-01
err8
errOAAI
errPiccoli, Julia P.; Soares, Andrey C.; Oliveira, Osvaldo N., Jr.; Cilli, Eduardo M.
err分享
err收藏
Controlled Film Architectures to Detect a Biomarker for Pancreatic Cancer Using Impedance Spectroscopy
err2015-11-11
err42
PREAI
errSoares, Andrey C.; Soares, Juliana C.; Shimizu, Flavio M.; Melendez, Matias E.; Carvalho, Andre L.; Oliveira, Osvaldo N., Jr.
err分享
err收藏
Graphene for impedimetric biosensing
err2012-07-01
err141
PREAI
errBonanni, Alessandra; Loo, Adeline Hulling; Pumera, Martin
err分享
err收藏
Application of Electrochemical Aptasensors toward Clinical Diagnostics, Food, and Environmental Monitoring: Review
errSENSORS
IF3.5
err2019-12-10
err91
errOAAI
errLi, Zhanhong; Mohamed, Mona A.; Mohan, A. M. Vinu; Zhu, Zhigang; Sharma, Vinay; Mishra, Geetesh K.; Mishra, Rupesh K.
err分享
err收藏
学者 查看更多内容