Classification of oil palm Fresh Fruit Bunches (FFB) using Raman spectroscopy

S. A.M. Dan, Fazida Hanim Hashim, T. Raj, A. B. Huddin, Aini Hussain

Research output: Contribution to journalArticle

Abstract

The current practice in determining oil palm fresh fruit bunches (FFB) ripeness is by its colour which could be inaccurate. This study investigates the classification of oil palm FFB ripeness using Raman spectroscopy. A feature extraction model is developed based on the different organic compositions that contribute to the ripeness classification. Samples are collected according to the Malaysian Palm Oil Board (MPOB) standards which are unripe, underripe, ripe, overripe, and rotten. Different characteristics of the Raman shift were detected which represent the material composition for each sample. The Raman intensity of the oil palm fruit increases from unripe to ripe before decreasing to rotten due to the carotenoid content in the fruit. In conclusion, Raman spectroscopy is a suitable technique to observe the changes in the composition of oil palm fruit classified by its ripeness.

Original languageEnglish
Pages (from-to)184-188
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Palm oil
Raman Spectrum Analysis
Fruits
Raman spectroscopy
Fruit
Oils
Chemical analysis
Carotenoids
Feature extraction
Color

Keywords

  • Carotenoids
  • Oil palm fruit
  • Raman spectroscopy
  • Ripeness

ASJC Scopus subject areas

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

Cite this

Classification of oil palm Fresh Fruit Bunches (FFB) using Raman spectroscopy. / Dan, S. A.M.; Hashim, Fazida Hanim; Raj, T.; Huddin, A. B.; Hussain, Aini.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 4, 01.01.2018, p. 184-188.

Research output: Contribution to journalArticle

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