Curcumin is a natural bioactive compound originated from the rhizomes of turmeric (Curcuma longa L.). This study was performed to investigate formic acid and microwave assisted extraction of curcumin from turmeric (Curcuma longa L.). In order to enhance the curcumin extraction, different parameters such as particle size, effect of pretreatment with water, radiation intensity and type of solvent...

The large number of publications in the field of extraction, purification, modification, and process optimization of natural dyes and their application on textiles demonstrates the revival of natural dyes on textile coloration. The use of natural dyes is growing in popularity because of the quality of the natural dyestuff obtained, the environmental compatibility of the dyes and the substantial...

The main purpose of this study was to optimize microwave assisted alkaline extraction of the hemicellulose, xylan, from birch wood. The simultaneous effects of process variables such as time (10 30 minutes), concentration of sodium hydroxide solution (4 8 wt%), solid to liquid ratio (1:8 to 1:20, g:mL), and sample size (5 10 g) on the temperature of the wood slurry, wood dissolution, and yield ...

Multi objective (MO) optimization is an emerging field which is increasingly being implemented in many industries globally. In this work, the MO optimization of the extraction process of bioactive compounds from the Gardenia Jasminoides Ellis fruit was solved. Three swarm-based algorithms have been applied in conjunction with normal-boundary intersection (NBI) method to solve this MO problem. T...

restrictions on the use of synthetic antioxidant such as butylated  hydroxyanisole  (bha) and butylated  hydroxytoluene (bht) are being imposed  because of  their carcinogecity. in this investigation  optimization  of phenolic extraction  process  frome  methanolic (80%)  extract (v/v) of  elaegnus  angustifolia  through  response  surface methodology  by fulin cio- calteu is  performrd  for op...

Keyphrase is an efficient representation of the main idea of documents. While background knowledge can provide valuable information about documents, they are rarely incorporated in keyphrase extraction methods. In this paper, we propose WikiRank, an unsupervised method for keyphrase extraction based on the background knowledge from Wikipedia. Firstly, we construct a semantic graph for the docum...

Logistic regression with L1-regularization has been recognized as a prominent method for feature extraction in linear classification problems. Various optimization methods for L1 logistic regression have been proposed in recent years. However there have been few studies conducted to compare such methods. This paper reviews existing methods for optimization and then tests the methods over a bina...