English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The man in his different productive processes has generated modifications to the environment. Metallurgical mining is not exempt from this, since many of the waste produced, especially effluents, does not have any type of treatment before being dumped. The objective of the research was to evaluate the efficiency of removal of Cu, Fe and Pb from the mining-metallurgical effluent on a laboratory scale by applying a bioadsorbent filter with lignocellulosic fibers (banana, coconut and orange peels). 10 filters composed of banana, coconut and orange peels were designed in different proportions (100 gr being 100%), as established by the Simplex Lattice Mix Design, with three metals to be removed (Cu, Fe and Pb). We worked at pH 7.3, contact time of 3 hours and particle size of 0.250 mm, in all treatments. The results show that for Cu the best treatment was (T2), with 100 gr of coconut shells (96.36%); for iron, treatment six (T6) composed of coco-orange (50 gr of each) with an efficiency of (92.05%); and the lead showed a greater removal of 97.34% with treatments three (T3) and six (T6) composed of 100 grams of orange and cocoorange (50 grams of each), respectively. The data were better adjusted to the special cubic regression model, with the P value of 0.000305 being copper and the coefficient of determination R2 0.790156. For iron, the P value 0. and determination coefficient R2 0.930029. The P value of lead was 0.000034 and the coefficient of determination R2 0.719867. Considering that the value of R2 is better the closer it gets to 1, and that (p <0.05) is significant.

Remoción de metales pesados desde efluentes mineros, mediante cáscaras de frutas