Issue |
BIO Web Conf.
Volume 101, 2024
The 5th International Conference on Life Sciences and Biotechnology (ICOLIB 2023)
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Article Number | 02006 | |
Number of page(s) | 13 | |
Section | Basic Science | |
DOI | https://doi.org/10.1051/bioconf/202410102006 | |
Published online | 09 April 2024 |
Optimization of Phenolic in Extraction Kasturi Mango Leaves (Mangifera casturi Kosterm.) with Taguchi Method
1 Research Center for Plant Conservation, Botanic Gardens, and Forestry, Nasional Research and Innovation Agency (BRIN), Cibinong, West Java, Indonesia
2 Laboratory Plant Research & Raw Material Standardization, Plant Research and Extract Development, PT Martina Berto Tbk, East Jakarta, Indonesia
* Corresponding author: kasandra.budiarni@brin.go.id
Kasturi mango (Mangifera casturi Kosterm.) is one of specific germplasm in South Kalimantan which in the category threatened with extinction. This plant has active metabolites such as phenolic groups which potentially to be bioactive. The active substance in the extract is usually obtained using the extraction method. Extraction is a method widely applied to the separation of compounds from plants to be used as raw materials products. Selection of the appropriate solvent and method is important to get optimal compound. The purpose of this study was to optimize phenolic extraction from Kasturi mango leaves using Taguchi method. The research method used consisted of 9 treatments with factors of temperature, time, and ethanol concentration. The extraction process was carried out on wet and dry samples of Kasturi mango leaves using digestion method with 50% ethanol at 50 ºC for 60 minutes. The result of determining the optimal solid solvent ratio (SSR) was get on dry samples with SSR ratio 1:5 and phenolic content 16995.8 mg/L. For the results of optimization phenolic extraction of dry samples Kasturi mango leaves with Taguchi method, the highest phenolic content obtained was 19407.8 mg/L with use of 30% ethanol at 70 ºC for 60 minutes.
© The Authors, published by EDP Sciences, 2024
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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