Pattern recognition for varieties of Malaysian Herb, Ficus deltoidea Jack through chemometric applications from GC-MS fingerprinting

Azierah Azemin, Hafizan Juahir, Mohammad Razak Hamdan, Zhari Ismail, Khamsah Suryati Mohd, Adiana Ghazali, Mohd Hanif Abdullah, Azimah Ismail, Rahmah Elfithri

Research output: Contribution to journalArticle

Abstract

Pattern based approach has been used for quality control for identification and authentication of herbal medicines including plant that having varietal issue, Ficus deltoidea Jack (FD). Chemical fingerprinting of FD varieties were profiled by Gas Chromatography-Mass Spectrometry (GC-MS). The aim was to profile and classify the untargeted volatile compounds which commonly occur in FD varieties for pattern recognition purpose. Chromatographic data from GC-MS fingerprint of FD varieties were analyzed using chemometric appli-cations; principal component analysis (PCA), hierarchical cluster analysis (HCA) and discriminant analysis (DA). Twenty-two major volatile compounds found were commonly occurred and stable in FD varieties. PCA give out total variance of 33.13%, while HCA gen-erated three clusters. However, DA confirmed FD varieties only grouped into two groups, which suggested that the unidentified com-pounds at tR: 8.85, 14.80, 16.25, 16.55 and 29.06 were the most significant parameters (p < 0.05) to discriminate both grouping. This finding indicates that 22 volatile compounds that commonly occur in FD varieties do not contribute to the discrimination and var. bilo-bata revealed to have specific volatile compounds that distinguish it from other varieties. The use of GC-MS fingerprinting and chemo-metric techniques provides useful and promising information for authentication and quality control of herbal medicines.

Original languageEnglish
Pages (from-to)348-355
Number of pages8
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.14 Special Issue 14
Publication statusPublished - 1 Jan 2018

Fingerprint

Ficus
Jacks
Gas chromatography
Gas Chromatography-Mass Spectrometry
Pattern recognition
Mass spectrometry
Herbal Medicine
Cluster analysis
Discriminant Analysis
Discriminant analysis
Principal Component Analysis
Quality Control
Principal component analysis
Authentication
Quality control
Cluster Analysis
Dermatoglyphics
Cations
Positive ions

Keywords

  • Chemometrics
  • Ficus deltoidea Jack
  • GC-MS Fingerprinting
  • Malaysian Herbs
  • Quality control
  • Volatile compounds

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Pattern recognition for varieties of Malaysian Herb, Ficus deltoidea Jack through chemometric applications from GC-MS fingerprinting. / Azemin, Azierah; Juahir, Hafizan; Hamdan, Mohammad Razak; Ismail, Zhari; Mohd, Khamsah Suryati; Ghazali, Adiana; Abdullah, Mohd Hanif; Ismail, Azimah; Elfithri, Rahmah.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.14 Special Issue 14, 01.01.2018, p. 348-355.

Research output: Contribution to journalArticle

Azemin, A, Juahir, H, Hamdan, MR, Ismail, Z, Mohd, KS, Ghazali, A, Abdullah, MH, Ismail, A & Elfithri, R 2018, 'Pattern recognition for varieties of Malaysian Herb, Ficus deltoidea Jack through chemometric applications from GC-MS fingerprinting', International Journal of Engineering and Technology(UAE), vol. 7, no. 3.14 Special Issue 14, pp. 348-355.
Azemin, Azierah ; Juahir, Hafizan ; Hamdan, Mohammad Razak ; Ismail, Zhari ; Mohd, Khamsah Suryati ; Ghazali, Adiana ; Abdullah, Mohd Hanif ; Ismail, Azimah ; Elfithri, Rahmah. / Pattern recognition for varieties of Malaysian Herb, Ficus deltoidea Jack through chemometric applications from GC-MS fingerprinting. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 3.14 Special Issue 14. pp. 348-355.
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