Papaya Leaf Research Papers - Academia.edu (original) (raw)
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Solvent leaf extracts of Terminalia catappa were evaluated for their cytotoxic and their radical scavenging potential. Brine shrimp assay was used for exploring cytotoxic activity, all the extracts namely hexane, DCM, chloroform,... more
Solvent leaf extracts of Terminalia catappa were evaluated for
their cytotoxic and their radical scavenging potential. Brine shrimp
assay was used for exploring cytotoxic activity, all the extracts
namely hexane, DCM, chloroform, acetone and methanol were
tested at the dose level of 25, 50, 100 and 200microgram /ml. A
dose dependent response was obtained in all the extracts.
Chloroform extract showed 100percent activity at the highest dose
of 200μg/ml. Antioxidant activity was evaluated by one
qualitative(TLC based) and two quantitative radical scavenging
assays namely DPPH (2, 2- Diphenyl-1- picryl hydrazyl) assay
and ferric reducing antioxidant power (FRAP) assay. In both
assays acetone extract exhibited significant reduction of free
radicals. The IC50 value of acetone extract was 36.9μg/ml.
Ascorbic acid was used in these assays as reference compound.
FRAP value of acetone extract was found to be 6.73 much higher
than all the other extracts.
Precision agriculture is area with lack of cheap technology. The refinement of the production system brings large advantages to the producer and the use of images makes the monitoring a more cheap methodology. Macronutrients monitoring... more
Precision agriculture is area with lack of cheap technology. The refinement of the production system brings large advantages to the producer and the use of images makes the monitoring a more cheap methodology. Macronutrients monitoring can to determine the health and vulnerability of the plant in specific stages. In this paper is analyzed the method based on computational intelligence to work with image segmentation in
the identification of symptoms of plant nutrient deficiency. Artificial neural networks are evaluated for image segmentation and filtering, several variations of parameters and insertion impulsive noise were evaluated too. Satisfactory results are achieved with artificial neural for segmentation same with high noise levels.
The use of low-cost adsorbent papaya leaf was investigated as a replacement for current costly methods of removing methylene blue dye (MB) from the aqueous solution. The adsorption equilibrium was determined as a function of contact time,... more
The use of low-cost adsorbent papaya leaf was investigated as a replacement for current costly methods of removing methylene blue dye (MB) from the aqueous solution. The adsorption equilibrium was determined as a function of contact time, initial adsorbatem concentration, and solution pH. The adsorptive uptake of MB increased with increasing the initial MB concentration and solution pH. The adsorption isotherms were correlated with a comparison of linear and nonlinear regression analysis. Langmuir isotherm model provided the best-fit for the adsorption of MB onto papaya leaf, with a maximum monolayer adsorp-tion capacity of 231.65 mg/g. This locally available adsorbent was found to be low cost and promising for the remediation of textile wastewater.