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Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method

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Bio-adsorbent hydroxyapatite for drinking water defluoridation: column performance modelling studies.

Dhiraj Mehta¹, Virendra Kumar Saharan¹, Suja George²

¹Malaviya National Institute of Technology, Jaipur, 302017, India.

Environmental Science and Pollution Research International

|April 11, 2023

Summary

Waste marble powder effectively removes fluoride from drinking water. Synthesized marble hydroxyapatite (MA-Hap LR) shows high adsorption capacity, offering a sustainable solution for water defluoridation.

Keywords:

Adsorption Continuous column studies Fluoride Hydroxyapatite Modelling Waste marble powder

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Area of Science:

Environmental Science
Materials Science
Water Treatment

Background:

Waste marble powder (WMP) contains calcium and magnesium salts beneficial for fluoride removal.
Fluoride contamination in drinking water poses significant health risks.
Developing cost-effective and sustainable defluoridation agents is crucial.

Purpose of the Study:

To synthesize hydroxyapatite from WMP for drinking water defluoridation.
To optimize column parameters for maximum fluoride adsorption capacity.
To evaluate the adsorption kinetics using kinetic models.

Main Methods:

Synthesized marble hydroxyapatite (MA-Hap LR) from WMP.
Formed MA-Hap LR into 2-3 mm pellets using extrusion spheronization with a polyvinyl alcohol binder.
Conducted continuous column defluoridation studies to optimize parameters like flow rate and bed height.
Analyzed adsorption kinetics using Thomas and Yoon-Nelson models.

Main Results:

Achieved a maximum adsorption capacity of 1.21 mg/g for fluoride removal.
Optimized column flow rate at 1 LPH with a 25 cm adsorbent bed height.
Processed 28.5 bed volumes at an adsorbent exhaustion rate of 7.4 g/L.
Thomas's model showed a good fit for adsorption kinetics.

Conclusions:

MA-Hap LR is a promising adsorbent for drinking water defluoridation.
Optimized column design parameters are identified for practical applications.
This study highlights the potential of industrial waste valorization for water treatment.