OPTIMIZATION OF CELLULASE ENZYME ASSISTED EXTRACTION OF LIPID FROM FRESH Caulerpa lentillifera USING RESPONSE SURFACE METHODOLOGY

Jurnal Ilmu dan Teknologi Kelautan Tropis

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Title OPTIMIZATION OF CELLULASE ENZYME ASSISTED EXTRACTION OF LIPID FROM FRESH Caulerpa lentillifera USING RESPONSE SURFACE METHODOLOGY
OPTIMASI SELULASE PADA ENZYME ASSISTED EXTRACTION LEMAK DARI Caulerpa lentillifera SEGAR MENGGUNAKAN RESPONSE SURFACE METHODOLOGY
 
Creator Hanifah, Ishmah
Izzati, Fauzia
Rahmawati, Siti Irma
Hermanianto, Joko
Giriwono , Puspo Edi
Hapsari , Yatri
Bustanussalam
Rahman , Fauzy
Septiana , Eris
Simanjuntak , Partomuan
 
Subject Caulerpa lentillifera
cellulase
enzyme assisted extraction
lipid
RSM
Caulerpa lentillifera
enzyme assisted extraction
lemak
selulase
RSM
 
Description Caulerpa lentillifera merupakan rumput laut hijau yang memiliki potensi besar namun kelimpahannya belum banyak dieksplorasi. Rumput laut tersebut tersebar pada beberapa wilayah perairan di Indonesia. Rumput laut diketahui memiliki kadar lemak yang rendah namun tersusun oleh poli asam lemak tidak jenuh. Ekstraksi lemak pada umumnya hanya menggunakan pelarut organik. Pada proses ekstraksi diperlukan perlakuan awal seperti enzyme assisted extraction untuk mendegradasi dinding sel dan meningkatkan akses pelarut masuk ke dalam sel. Penelitian dirancang untuk mengetahui kondisi optimum proses enzyme assisted extraction lemak rumput laut hijau segar C. lentillifera dengan menggunakan enzim selulase. Proses optimasi dilakukan menggunakan Response Surface Methodology (RSM) model Central Composite Design dengan 15 perlakuan. Perlakuan didapatkan untuk mengetahui pengaruh variabel bebas, diantaranya konsentrasi enzim, suhu hidrolisis, dan waktu hidrolisis terhadap variabel terikat yaitu jumlah ekstrak lemak dan aktivitas antioksidan. Hasil penelitian didapatkan model 2FI dan Linier berturut-turut untuk variabel terikat jumlah lemak dan aktivitas antioksidan. Kondisi optimum yang diperoleh yaitu konsentrasi enzim sebesar 2%, suhu hidrolisis sebesar 30 °C, dan waktu hidrolisis selama 1 jam. Kondisi optimum tersebut kemudian dapat diverifikasi dengan diberikan perlakuan terpilih sebanyak 2 kali ulangan atau lebih hingga mendekati hasil prediksi. Asam lemak yang diperoleh setelah metilasi dan identifikasi dengan GC-MS yaitu asam palmitat dan asam laurat. Optimasi proses ekstraksi lemak memungkinkan potensi pemanfaatan lemak dari rumput laut segar C. lentillifera berdasarkan faktor yang memengaruhi.
Caulerpa lentillifera is one of the most potential green seaweed to explored. It is abundantly available and cultivated in several region in Indonesia. Seaweed is well-known as a low lipid content but it is arranged by polyunsaturated fatty acid. Generally, organic solvent is used for lipid extraction. In an extraction method needs pre-treatment such as enzyme assisted extraction for degrading its cell wall and increasing solvent access to entry the cell. This research was designed to study the optimum condition of lipid enzyme assisted extraction process using cellulase from fresh green macroalga C. lentillifera. The optimization was carried out by Response Surface Methodology (RSM) using Central Composite Design (CCD) model with 15 runs. The aim of this study was to analyze the effect of some independent variables namely enzyme concentrations, hydrolysis temperatures, and hydrolysis times respectively to the dependent variables of lipid content and antioxidant activity. The optimum condition obtained from this experiment was 2% enzyme concentration, 30 °C hydrolysis temperature, and 1 h. The optimum condition could then be verified by making 2 or more replications of the chosen treatment approached the predicted result based on software Design Expert vers. 10 prediction. After methylation, extracted fatty acids were identified as palmitic acid and lauric acid using GC-MS. Extraction optimization enables to explore C. lentillifera’s lipid based on influence factors.
 
Publisher Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.ipb.ac.id/index.php/jurnalikt/article/view/32654
10.29244/jitkt.v13i1.32654
 
Source Jurnal Ilmu dan Teknologi Kelautan Tropis; Vol. 13 No. 1 (2021): Jurnal Ilmu dan Teknologi Kelautan Tropis; 19-37
2620-309X
2087-9423
10.29244/jitkt.v13i1
 
Language eng
 
Relation https://journal.ipb.ac.id/index.php/jurnalikt/article/view/32654/21589
 
Rights Copyright (c) 2021 Jurnal Ilmu dan Teknologi Kelautan Tropis
https://creativecommons.org/licenses/by-sa/4.0
 

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