Optimization of Ultrasound-Assisted Extraction of Total Phenol from Piper Betle Linn. Using Response Surface Methodology

LINDAYANI, LINDAYANI and HARTAYANIE, LAKSMI and SETYADJI, IRFAN ADITYA (2021) Optimization of Ultrasound-Assisted Extraction of Total Phenol from Piper Betle Linn. Using Response Surface Methodology. International STEM Journal, 2 (1). pp. 1-14. ISSN E-ISSN: 2785-857X

[img] Text
Cover-dewan redaksi-daftar isi-materi paper_Int STEM Journal Vol2 No1-Jun 2021_1-14.pdf
Restricted to Registered users only

Download (1MB)

Abstract

Piper betle Linn. leaves extract contains phytochemicals with various therapeutic effects. While these phytochemicals are susceptible to degradation by extreme extraction conditions, novel extraction techniques enable the preservation of the phytochemicals and thus enabling recovery of higher quality phytochemical extract. This research aimed to study the effect of parameters of ultrasound-assisted extraction (UAE) on the quality of phytochemicals, measured by total phenol content and antioxidant activity of Piper betle leaves extract. The parameters studied are sonication power (i.e., 50W, 70W, 90W), extraction time (i.e., 20, 25, 30 minutes), and temperature (i.e., 45oC, 50oC, 55oC). Ethanol of 96% concentration was used as solvent and the ultrasound bath was operated at 45 kHz. Response surface methodology is used to analyze the result of experiment. Sample testing were done by completely randomized design (CRD) and the result was statistically analyzed by using central composite design (CCD) to find the most optimal parameter combination towards total phenol content and antioxidant activity. The optimum parameters for UAE of Piper betle leave that gave the maximum amount of total phenolic content and antioxidant activity are as follows: temperature of 55oC, extraction time of 27.55 minutes, and sonication power of 73.04 Watt.

Item Type: Article
Subjects: 600 Technology (Applied sciences) > 660 Chemical engineering > 664 Food technology
Divisions: Faculty of Agricultural Technology > Department of Food Technology
Depositing User: Mrs Christiana Sundari
Date Deposited: 03 Aug 2021 02:56
Last Modified: 06 Aug 2021 07:52
URI: http://repository.unika.ac.id/id/eprint/26263

Actions (login required)

View Item View Item