
	Asian Journal of Agricultural Research
	Year: 2015 \| Volume: 9 \| Issue: 6 \| Page No.: 362-366 DOI: 10.3923/ajar.2015.362.366

Optimization of Dyed Extract Condition from Nypa Palm Bark using Central Composite Design

Sutavadee Wewa, Phathima Saengpaen, Kamonthip Rodbangpong and Khwanchai Khucharoenphaisan

Abstract: Nypa palm, a kind of palm usually found in mangrove forests in the Pacific Oceans. Bark of Nypa palm contained concentrated dyes that can be used as source of natural dye. The aim of this study was to optimize Natural dye extracted from bark of Nypa Palm by using Central Composite Design (CCD) method. The result showed that the condition of 22-28% Nypa palm bark and heat at 100°C for 20-95 min gave the maximum color on the cotton fabrics after dying. The treatment combinations between bark concentration and extracted time showed that a regression model of optimization of extraction as lightness of dyeing cotton fabrics (L-value) were in agreement to experimental results with R² = 0.639. The minimum L-value was between 62-64.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Bitter Leaf (Vernonia amygdalin) for Dye Sensitized Solar Cell

•	Amino Acids Associated with Optimized Alkaline Protease Production by Bacillus subtilis ATCC 11774 Using Statistical Approach

•	Study of Optimal Temperature, pH and Stability of Dragon Fruit (Hylocereus polyrhizus) Peel for Use as Potential Natural Colorant

•	Environmental Assessment of Osage orange extraction and its Dyeing Properties on Protein Fabrics Part I: Standardization of Extraction

How to cite this article:

Sutavadee Wewa, Phathima Saengpaen, Kamonthip Rodbangpong and Khwanchai Khucharoenphaisan, 2015. Optimization of Dyed Extract Condition from Nypa Palm Bark using Central Composite Design. Asian Journal of Agricultural Research, 9: 362-366.

DOI: 10.3923/ajar.2015.362.366

URL: https://scialert.net/abstract/?doi=ajar.2015.362.366

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Cambridge Scientific Abstract
		Chemical Abstract Services
		FSTA
		Google Scholar

Science Alert