Chemometric Classification of Herb – Orthosiphon stamineus According to Its Geographical Origin Using Virtual Chemical Sensor Based Upon Fast GC

Chew Oon Sim,Nor Amin Mohd Noor,Abdul Rahman Othman,Ezrinda Mohd Zaihidee,Mohd Noor Ahmad,Zhari Ismail

doi:10.3390/s31000458

Chew Oon Sim, Nor Amin Mohd Noor + Show 4 more

Open Access

https://doi.org/10.3390/s31000458

Copy DOI

Journal: Sensors (Basel, Switzerland)	Publication Date: Oct 31, 2003
Citations: 30	License type: CC BY 3.0

Affiliation: Universiti Sains Malaysia

Abstract

An analytical method using Electronic Nose (E-nose) instrument for analysis of volatile organic compound from Orthosiphon stamineus raw samples have been developed. This instrument is a new chemical sensor based on Fast Gas Chromatography and Surface Acoustics Wave (SAW) detector. Chromatographic fingerprint obtained from the headspace analysis of O. stamineus samples were used as a guideline for optimum selection of an array of sensor. Qualitative analysis was carried out based on the responses of each sensor array in order to distinguish the geographical origin of the cultivated sample. The results of the analysis showed variances of volatile chemical compound of the samples even though it is from the same species. However, similarities of main components from all five samples were observed. Usage of pattern recognition chemometric approaches such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Cluster Analysis (CA) for processing instrumental data provided good classification of O. stamineus samples according to its geographical origin.

Highlights

Herbal medicine is an important part of health care to a majority of the world’s population
Sensors 2003, 3 instrumental data provided good classification of O. stamineus samples according to its geographical origin
With the above mentioned integrated features, electronic nose for the first time can serve as an alternative analytical techniques for herbal analysis that is less time consuming, cost effective and easy to operate compared to conventional analytical techniques such as High Performance Liquid Chromatography (HPLC), Thin Layer Chromatography (TLC) and Gas Chromatography-Mass Spectrometry (GC-MS)

Summary

Introduction

Herbal medicine is an important part of health care to a majority of the world’s population. Sensors 2003, 3 instrumental data provided good classification of O. stamineus samples according to its geographical origin. In this research, dried leaves of O. stamineus cultivated commercially in different geographical origin have been classified using a virtual chemical sensor based on Fast Gas Chromatography (GC) with Surface Acoustic Wave (SAW) detector namely zNoseTM [3].

Results

Conclusion