TY - JOUR
T1 - Chemometrics meets electrochemical sensors for intelligent in vivo bioanalysis
AU - Desagani, Dayananda
AU - Ben-Yoav, Hadar
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/7
Y1 - 2023/7
N2 - The field of in-vivo electrochemical sensors is envisioned to greatly transform point-of-care diagnostic devices and bio-chip sensing technology. However, these sensors' sensitivity and selectivity suffer from fundamental challenges that deteriorate the output electrochemical signal and the underlying diagnostic information. In analytical chemistry, the term ‘chemometrics’ involves utilizing advanced multivariate models to transform the output analytical signals; this shifts the complexity of the analysis from the physical domain to the digital processing domain. These digital processing methods can help to alleviate matrix and interference effects and help to address problems of drift or nonlinearity; therefore, it can potentially provide reliable in-vivo analysis. In this review, we will discuss the main challenges that implantable electrochemical sensors encounter, the currently utilized chemometric approaches for in-vivo electrochemical analysis, as well as opportunities and pitfalls for integrating chemometrics with implantable electrochemical sensors.
AB - The field of in-vivo electrochemical sensors is envisioned to greatly transform point-of-care diagnostic devices and bio-chip sensing technology. However, these sensors' sensitivity and selectivity suffer from fundamental challenges that deteriorate the output electrochemical signal and the underlying diagnostic information. In analytical chemistry, the term ‘chemometrics’ involves utilizing advanced multivariate models to transform the output analytical signals; this shifts the complexity of the analysis from the physical domain to the digital processing domain. These digital processing methods can help to alleviate matrix and interference effects and help to address problems of drift or nonlinearity; therefore, it can potentially provide reliable in-vivo analysis. In this review, we will discuss the main challenges that implantable electrochemical sensors encounter, the currently utilized chemometric approaches for in-vivo electrochemical analysis, as well as opportunities and pitfalls for integrating chemometrics with implantable electrochemical sensors.
KW - Artificial intelligence models
KW - Chemometrics
KW - Electroanalysis
KW - Electroanalytical chemistry
KW - Electrochemical sensors
KW - Implantable sensors
KW - In-vivo bioanalysis
KW - Machine learning models
KW - Multivariate analysis
KW - Pattern recognition models
UR - http://www.scopus.com/inward/record.url?scp=85159233197&partnerID=8YFLogxK
U2 - 10.1016/j.trac.2023.117089
DO - 10.1016/j.trac.2023.117089
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.systematicreview???
AN - SCOPUS:85159233197
SN - 0165-9936
VL - 164
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
M1 - 117089
ER -