TY - JOUR
T1 - State-of-the-art of differential sensing techniques in analytical sciences
AU - Wong, Siew Fang
AU - Khor, Sook Mei
N1 - Funding Information:
This work was financially supported by the Fundamental Research Grant Scheme (FRGS) from the Ministry of Higher Education, Malaysia ( FP041-2016 ), and the Research University Grant ( GPF057B-2018 ).
Funding Information:
This work was financially supported by the Fundamental Research Grant Scheme (FRGS) from the Ministry of Higher Education, Malaysia (FP041-2016), and the Research University Grant (GPF057B-2018).
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/5
Y1 - 2019/5
N2 - In the field of molecular recognition, classical sensing methods, motivated by the lock-and-key principle, require highly selective receptors for detecting specific analytes. However, due to the high selectivity and high specificity of the receptors required for detection of the target analytes, differential sensing has emerged as a promising alternative for addressing the deficiencies of the traditional chemosensing approaches. This review focuses on the state-of-the-art approaches for molecular sensing and discusses the current status of differential sensing routines in the context of recent advances for application in diverse fields. The essential criteria for excellent differential sensing array systems are systematically reviewed, and the conceptual differences between differential sensing and traditional chemosensing methods in the identification and detection of target analytes are highlighted. The use of multivariate statistical techniques in data mining, analysis, interpretation for differential sensing, and the advantages, disadvantages, and limitations of each chemometric technique are discussed.
AB - In the field of molecular recognition, classical sensing methods, motivated by the lock-and-key principle, require highly selective receptors for detecting specific analytes. However, due to the high selectivity and high specificity of the receptors required for detection of the target analytes, differential sensing has emerged as a promising alternative for addressing the deficiencies of the traditional chemosensing approaches. This review focuses on the state-of-the-art approaches for molecular sensing and discusses the current status of differential sensing routines in the context of recent advances for application in diverse fields. The essential criteria for excellent differential sensing array systems are systematically reviewed, and the conceptual differences between differential sensing and traditional chemosensing methods in the identification and detection of target analytes are highlighted. The use of multivariate statistical techniques in data mining, analysis, interpretation for differential sensing, and the advantages, disadvantages, and limitations of each chemometric technique are discussed.
KW - Classical sensing
KW - Differential sensing
KW - Molecular recognition
KW - Multivariate analysis
KW - Pattern recognition
KW - Sensor arrays
UR - http://www.scopus.com/inward/record.url?scp=85063081668&partnerID=8YFLogxK
U2 - 10.1016/j.trac.2019.03.006
DO - 10.1016/j.trac.2019.03.006
M3 - Review Article
AN - SCOPUS:85063081668
SN - 0165-9936
VL - 114
SP - 108
EP - 125
JO - Trends in Analytical Chemistry
JF - Trends in Analytical Chemistry
ER -