UPM Institutional Repository

Characterization of virgin avocado oil obtained via advanced green technique


Citation

Mohd Ghazali, Hasanah and Chong, Gun Hean and Hamzah, Hazilawati and Tan, Chin Xuan (2018) Characterization of virgin avocado oil obtained via advanced green technique. European Journal of Lipid Science and Technology, 120 (10). pp. 1-11. ISSN 1438-9312; ESSN: 1438-7697

Abstract

The quality characteristics, bioactive phytochemicals, volatile compounds, and antioxidant capacities of virgin avocado oil extracted using a couple of green methods, namely, subcritical CO2 extraction (SCO2) and ultrasound‐assisted aqueous extraction (UAAE), are compared with the oil extracted using the conventional solvent extraction. Results indicate the quality properties of avocado oil are unaffected by extraction methods. The total phenolic content of avocado oil is in the range of 111.27–130.17 mg GAE/100 g and the major phytosterol is β‐sitosterol (1.91–2.47 g kg−1). Avocado oil extracted using SCO2 exhibits two to four times greater levels of α‐ and γ‐tocopherols than solvent extraction and UAAE. The volatile components associated with nutty and grassy flavors are only detected in avocado oil extracted under low‐temperature extraction conditions such as SCO2 and UAAE. Based on the antioxidant capacity tests, avocado oil obtained by SCO2 exhibits the strongest antioxidant capacity compared with solvent extraction and UAAE.


Download File

[img] Text (Abstract)
AVOCADO.pdf

Download (178kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
Faculty of Veterinary Medicine
DOI Number: https://doi.org/10.1002/ejlt.201800170
Publisher: Wiley-VCH Verlag
Keywords: Antioxidant capacity; Avocado oil; Bioactive phytochemicals; Subcritical CO2 extraction; Ultrasound‐assisted aqueous extraction
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 10 Nov 2020 07:43
Last Modified: 10 Nov 2020 07:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/ejlt.201800170
URI: http://psasir.upm.edu.my/id/eprint/73385
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item