Datasets of essential oils from naturally formed and synthetically induced Aquilaria malaccensis agarwoods

Farah Adibah Abdul Kadir, Kamalrul Azlan Azizan, Roohaida Othman

Research output: Contribution to journalArticle

Abstract

Agarwood is the highly valuable fragrant resin of the wounded Aquilaria spp. trees widely used in fragrances, medicines and incenses. Among the Aquilaria spp., A. malaccensis is the primary producer and is mainly found in Indonesia and Malaysia. In normal condition, agarwood is naturally formed in Aquilaria trees as a defense mechanism upon physical damage or microbial infection on the trees, which is a slow process that occurs over several years. The high demand in agarwood has spurred the development of various artificial inoculation methods where agarwood formation is synthetically induced in a shorter period of time. However, the synthetic induction method produces agarwood with aromas different from the naturally formed agarwood. To understand the changes in the agarwoods produced from different induction conditions, metabolite profiling of agarwood essential oil from A. malaccensis has been performed. The essential oils of healthy undamaged tree trunks and, naturally formed and synthetically induced agarwoods were obtained using hydrodistillation (HS) method and analysed using gas chromatography mass spectrometer (GC-MS). These data will provide valuable resources for chemical components of agarwood produced by the species in the genus Aquilaria.

Original languageEnglish
Article number104987
JournalData in Brief
Volume28
DOIs
Publication statusPublished - Feb 2020

Fingerprint

essential oil
defense mechanism
medicine
inoculation
resin
metabolite
gas chromatography
spectrometer
damage
resource
method

Keywords

  • Agarwood
  • Aquilaria malaccensis
  • Gas chromatography mass spectrometer
  • Hydrodistillation
  • Metabolomics

ASJC Scopus subject areas

  • General

Cite this

Datasets of essential oils from naturally formed and synthetically induced Aquilaria malaccensis agarwoods. / Abdul Kadir, Farah Adibah; Azizan, Kamalrul Azlan; Othman, Roohaida.

In: Data in Brief, Vol. 28, 104987, 02.2020.

Research output: Contribution to journalArticle

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