MALAYSIAN JOURNAL OF CHEMISTRY (MJChem)

MJChem is double-blind peer reviewed journal published by the Malaysian Institute of Chemistry (Institut Kimia Malaysia) E-ISSN: 2550-1658

Optimization of Protease Extraction from Ridged Gourd (Luffa acutangula) Sarcocarp via Response Surface Methodology

Nur Fatin Nadia Mohd Dzakir
International Islamic University Malaysia
Erna Normaya Abdullah
International Islamic University Malaysia
Nur Amanina Hassanuddin
International Islamic University Malaysia
Syamimi Sulfiza Shamsuri
International Islamic University Malaysia
Mohammad Norazmi Ahmad
International Islamic University Malaysia
Anwar Iqbal
Universiti Sains Malaysia
Mohd Bijarimi Mat Piah
Universiti Malaysia Pahang

DOI: https://doi.org/10.55373/mjchem.v25i3.391

Keywords: Optimization; Response Surface Methodology; Central Composite Rotatable Design; Luffa acutangular; protease

Abstract

Recently, the widespread use of proteases in industries, such as detergent, food, and pharmaceutical sectors, has increased the demand for proteolytic enzymes in the global market. Although the main sources of commercial proteases are animals and microorganisms, the potential of using nonconventional sources, especially plants, should not be overlooked. In this study, proteolytic enzymes were extracted from the sarcocarp of ridged gourd (Luffa acutangula), and the effect of the extraction process on protease activity was evaluated. The crude enzyme was optimized via response surface methodology (RSM) using a central composite rotatable design (CCRD). Four independent variables were studied, namely, the pH, the concentrations of Triton X-100 (TX-100) and 2-mercaptoethanol, and the mixing time. The optimum level of each variable based on the RSM model was determined: at pH 6.38, 4.99% (v/v) TX-100, 0.15 M 2-mercaptoethanol, and a mixing time of 4.09 min, the optimum protease activity was estimated at 1.35 U/g. A verification test revealed satisfactory agreement between the model and experimental results with 96% desirability, indicating that the quadratic model generated from RSM is significant.

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Published 29 June 2023


Issue Vol 25 No 3 (2023): Malaysian Journal of Chemistry

Section