Open AccessOptimization Extraction of Indigofera tinctoria L. using Microwave-assisted Extraction
Author(s) -
Achmad Qodim Syafaatullah,
Mahfud Mahfud
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1053/1/012131
Subject(s) - extraction (chemistry) , yield (engineering) , solvent , response surface methodology , chromatography , microwave , solubility , materials science , box–behnken design , chemistry , pulp and paper industry , organic chemistry , computer science , composite material , telecommunications , engineering
Dyes are many used in textiles, food, drink, and cosmetics. In the textile industry, the demand for dye is increasing, especially in natural dye. One of the natural dye that is often used in those products is I ndigofera tinctoria L. due to its various potential. However, the time extraction needed is very long in the conventional extraction process. Because of that, some researchers have proved that microwave-assisted extraction takes a short time and high yield extraction obtained because microwave radiation is transmitted to the plant matrix that increasing solubility of solvent, and decreasing surface tension. Correlated with that, Indigofera tinctoria L. dye extraction using microwave-assisted extraction has been analyzed by modeling with response surface methodology with Box-Behnken Design (BBD) with parameters of ratio feed to solvent (0.02-0.1 g/ml), temperature (50-60°C) and extraction time (50-90 minutes). The obtained model could represent the extraction process and showed there an interaction among parameters on the yield, but ratio F/S had the most significant effect. Besides, the difference of optimization model obtained at optimum condition process extraction at ratio feed to solvent 0.02, temperature 60°C, and 50 minutes. The actual yield is 4.976% is closed to the predicted yield which the value is 4.85%. The compounds and similarity of the sample were analyzed using FT-IR and the similarity compound of indigo is 39.11%.