State-of-the-art of differential sensing techniques in analytical sciences

Siew Fang Wong, Sook Mei Khor

Research output: Contribution to journalReview ArticleResearchpeer-review

22 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)108-125
Number of pages18
JournalTrAC - Trends in Analytical Chemistry
Volume114
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • Classical sensing
  • Differential sensing
  • Molecular recognition
  • Multivariate analysis
  • Pattern recognition
  • Sensor arrays

Cite this