This paper focuses on the development of a processing scheme to obtain a water-soluble natural yellow colourant from Opuntia fruits for application in food, paying special attention to the extraction procedure. Edible yellow Opuntia fruits grown in Murcia (Spain) were homogenized and extracted with ethanol, water, or ethanol/water (60:40) solvents. Pigment extract was chemically characterized a...

abstract in refrence to un appropriate time and place dispersal of precipitation in iran and having low efficiency in agriculture, water as the most limitative factor in agriculture is discussing. in this study, the existing pattern of mashhad-chenaran plain is considering and with gathering data related to 1388, with target of decrease in water consuming, optimum and nearly optimum cropping pa...

A simple and solvent-minimized sample preparation technique based on hollow fibre-protected liquid-phase micro-extraction has been developed for extraction of fifteen organic sulphur compounds from aqueous samples. The analysis of the extracted them was performed by gas chromatography equipped with mass spectrometry and/or flame photometric detectors. 3.3 µL of organic solvent located in the lu...

The purpose of this study is to investigate the performance and efficiency of Moringa seeds from different sources on turbidity. A protein analysis test was done for each source; then two different methods of extraction were compared to examine the coagulation activity for the Moringa's active ingredient. The results of sodium chloride (NaCI) extraction in comparison to distilled water extracti...

background; water treatment sometimes needs a coagulation and flocculation process to remove suspended and colloidal materials. inorganic coagulants used create concerns about pollution of the environment and harmful effects on the human’s health. the studies carried out previously indicated the capability of an active coagulant agent extracted from descurainia sophia seed to remove turbidity o...

A key element of bioinformatics research is the extraction of meaningful information from large experimental data sets. Various approaches, including statistical and graph theoretical methods, data mining, and computational pattern recognition, have been applied to this task with varying degrees of success. Using a novel classifier based on the Bayes discriminant function, we present a hybrid a...