Journal of Research and Technology
Vol. 7 No. 2 (2021): JRT Volume 7 No 2 Des 2021

Optimization of Ultrasound-Assisted Extraction Parameters from Indigofera Tinctoria L using Response Surface Methodology

Achmad Qodim Syafaatullah (Unknown)
Variyana, Yeni (Unknown)
Ni’matur Rohmah (Unknown)
Iid Mufaidah (Unknown)
Ayu Qurota A’yun (Unknown)



Article Info

Publish Date
30 Dec 2021

Abstract

Nowadays, the natural dyes are commonly used in textile industry. One of them is Indigofera tinctoria L leaves extracting natural dyes that produce blue color and have various potential utilization. However, the extraction time required usually takes a long time using conventional extraction. Thus, some researches reported that ultrasound-assisted extraction can accelerate and increase the extraction yield. The mechanism of ultrasonography is able to assist matrix cell rupture through the ultrasound cavitation. The present research aimed to study and to evaluate the Indigofera tinctoria L dye using ultrasound-assisted extraction. Response surface methodology (RSM) in conjunction with box-behnken design (BBD) was applied to optimize and to analyze the extraction conditions. The independent factors were ratio feed to solvent (0.02-0.1 g/ml), ultrasound temperature (50-60oC), and extraction time (50-90 minutes). Further, feed to solvent ratio was the most significant factor of extraction process in comparison with temperature and extraction time. The optimum extraction conditions were 58oC, 0.02 g/ml, and 50 minutes. The predicted model obtained was 6.025% which close to the actual data (5.75%). Moreover, the extract dye compounds were analyzed by FTIR test and the result was 64.07% for presence of Indigo dye. Therefore, the natural dyes can be alternative and sustainable dye as environmentally friendly

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Journal Info

Abbrev

jrt

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Industrial & Manufacturing Engineering

Description

Journal of Research and Technology published since 2015 contains a collection of a selected articles from the results of research and study of literature which is relevant to industrial , chemical, and environment engineering. Target readers of the Journal of Research and Technology are scientists, ...