E3S Web Conf.
Volume 337, 2022International Conference on Climate Nexus Perspectives: Toward Innovative, Resilient and Sustainable Solutions for Natural Resources and Biodiversity Management (I2CNP 2021)
|Number of page(s)||9|
|Section||Sustainability of Food Systems and Agricultural Productions|
|Published online||20 January 2022|
Aqueous Enzymatic Extraction of safflower (Carthamus tinctorius L.) seed oil: A preliminary study
Laboratory of Agricultural Productions Improvement, Biotechnology and Environment (LAPABE), Faculty of Sciences, Mohammed I University, Oujda, Morocco.
2 Laboratory of Sustainable Agriculture Management, Higher School of Technology, Sidi Bennour, University Chouaib Doukkali, El Jadida, Morocco.
* Corresponding author: email@example.com
Reducing the pollution is a serious environmental challenge facing the oil producing industry worldwide. Conventionally, oil from oleaginous is extracted in large scale by mechanical expression or organic solvent extraction. In spite of its high yield, organic solvent extraction is time-consuming and very harmful to health and environment. Aqueous Enzymatic Extraction (AEE) is an eco-friendly extraction method using water as an extraction medium. Its application is a feasible alternative to traditional processing technologies without using organic solvents. However, its efficiency depends on many factors. This study aims to investigate the potential of AEE method to extract oil from safflower (Carthamus tinctorius L.) seeds using hemicellulase. Four extraction parameters with different levels that are incubation temperature, incubation time, initial pH, and enzyme concentration were evaluated. The optimum extraction conditions recorded were 65°C, pH 5, 4% w/w of enzyme and 3 hours of incubation. The obtained results showed that AEE reach a maximum of 70.45 % oil recovery. Therefore, Aqueous Enzymatic Extraction can be suggested as an environmentally cleaner alternative method to efficiently extract oil from safflower seeds.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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