Efecto de los campos magnéticos variables sobre la capacidad de eliminación de cromo (VI) del agua por berros (Nasturtium officinale): un modelo propuesto

Authors

  • Octavio Contreras-García Author

DOI:

https://doi.org/10.6036/10601

Abstract

This study presents the effect of a variable magnetic field

on chromium (VI) absorption typical of a hydroponic system

for Phytoabsorption using watercress (Nasturtium officinale)

plants in a batch system. The experimentation was carried

out applying magnetic fields of 12 and 44 mT and comparing

it with the system without field; the field was generated by

arrangement of coils and specific conditions for each system,

for this work solutions with concentrations of 1, 10, and 20

ppm of chromium (VI) were used during a four-week process

with the objective of evaluating the effect of the magnetic

field in bioaccumulation in the system. The results indicate that

the absorption of chromium increased per week, having that

in most of the study cases (0 mT, 12 mT, 44 mT) the highest

absorption was achieved in week 4, having that for all cases

between week 3 and 4 the difference is minimal, likewise the

results indicate that when implementing a magnetic field

bioaccumulation is favored showing similar results for both

magnetic fields studied in this work. The highest removal

efficiency for the study cases corresponding to 1 ppm and 10

ppm was achieved when a field of 12 mT was applied, reporting

values of 0.83 and 0.85 respectively, with respect to the case

of 20 ppm, the highest efficiency was 0.83 applying a field of

44 mT. Statistical correlation models were found using multiple

linear regression model finding significant variables (the

magnetic field, concentration of chromium (VI), exposure time).

With the interaction model we found significant interactions

(concentration*week and field*concentration), and with the

model of quadratic terms and interactions (non-significant

field*week), which presented adequate adjustments description

of the phenomenon, r^2=0.965 using coefficient analysis.

Published

2024-05-24

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Research articles

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