ZenToks Publication

Chapter 15

Organic Component Identification using Syntactic Pattern Recognition

Abstract/Preface

The identification of organic components is fundamental to chemistry with implications of detection, spanning drug discovery, materials science, and environmental monitoring. Traditional analytical methods often rely on spectroscopic data and empirical rules, which can be limited in capturing complex structural detection. This paper explores the application of Syntactic Pattern Recognition (SPR) for the identification of organic components. By representing chemical structures in formal languages, SPR leverages grammatical rules to describe valid molecular arrangements. This approach allows for a robust and interpretable framework for recognizing known structures and potentially identifying novel substructures within larger molecules. It is presented here the construction of chemical grammars and present examples of their application. It also highlights the advantages of SPR in handling the inherent structural complexity of organic compounds.