Chemical profiling of palm oil and other selected plant oils by proton nuclear magnetic resonance combined with chemometrics

Noor Idayu Tahir and Asiah Nabihan Ishak and Teh, Soek Sin and Abrizah Othman and Umi Salamah Ramli (2023) Chemical profiling of palm oil and other selected plant oils by proton nuclear magnetic resonance combined with chemometrics. Journal of Oil Palm Research (Malaysia), 35 (4). pp. 738-746. ISSN Journal of Oil Palm Research (Malaysia)

Nuclear magnetic resonance (NMR) spectroscopy is an important and universal tool for chemical profiling. Combined with chemometrics for statistical interpretation and visualisation, the technique has gained recognition as an efficient method for assessing the quality and safety of vegetable oils. Nevertheless, its application in palm oil traceability is scarce. In this investigation, different origins, types and preparations of palm oils, olive oils, virgin coconut oils (VCO) and seed oils from sesame, black caraway, argan, corn, peanut and sunflower were examined for their chemical attributes using proton (1H) NMR. The analysis used milligrams quantity of samples and was proven to be rapid with minimal sample preparation and analysis time. The statistical components of the multivariate model generated from the dataset were significant and highlighted the characterisation of the specimens into groups of palm, olive, virgin coconut and seed oils based on the presence and abundance of various types of proton signals. Different packaging and blends of commercial palm cooking oils exhibited similar proton profiles while the lab-prepared palm oil is closely linked to VCO. The work contributes to the development of authentication and traceability analytical methods for palm oil and will be expanded into a predictive platform with a larger dataset.

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Abstract

Nuclear magnetic resonance (NMR) spectroscopy is an important and universal tool for chemical profiling. Combined with chemometrics for statistical interpretation and visualisation, the technique has gained recognition as an efficient method for assessing the quality and safety of vegetable oils. Nevertheless, its application in palm oil traceability is scarce. In this investigation, different origins, types and preparations of palm oils, olive oils, virgin coconut oils (VCO) and seed oils from sesame, black caraway, argan, corn, peanut and sunflower were examined for their chemical attributes using proton (1H) NMR. The analysis used milligrams quantity of samples and was proven to be rapid with minimal sample preparation and analysis time. The statistical components of the multivariate model generated from the dataset were significant and highlighted the characterisation of the specimens into groups of palm, olive, virgin coconut and seed oils based on the presence and abundance of various types of proton signals. Different packaging and blends of commercial palm cooking oils exhibited similar proton profiles while the lab-prepared palm oil is closely linked to VCO. The work contributes to the development of authentication and traceability analytical methods for palm oil and will be expanded into a predictive platform with a larger dataset.

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Item Type:	Article
AGROVOC Term:	palm oils
AGROVOC Term:	plant oils
AGROVOC Term:	chemical analysis
AGROVOC Term:	food quality
AGROVOC Term:	food safety
AGROVOC Term:	research
AGROVOC Term:	NMR spectroscopy
AGROVOC Term:	chemical composition
Geographical Term:	Malaysia
Uncontrolled Keywords:	chemical signatures, NMR spectroscopy, oil purity and stability, proton signals, vegetable oil
Depositing User:	Nor Hasnita Abdul Samat
Date Deposited:	29 Apr 2025 01:19
Last Modified:	29 Apr 2025 01:19
URI:	http://webagris.upm.edu.my/id/eprint/1787

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