From Batch to Pilot: Scaling Up Arsenic Removal with an Fe-Mn-Based Nanocomposite

Arsenic contamination in groundwater is a significant public health concern, with As(III) posing a greater and more challenging risk than As(V) due to its higher toxicity, mobility, and weaker adsorption affinity. Fe-Mn-based adsorbents offer a promising solution, simultaneously oxidizing As(III) to As(V), enhancing its adsorption. This study evaluates an Fe-Mn nanocomposite across typical batch (20 mg of adsorbent), fixed-bed column (28 g), and pilot-scale (2.5 kg) studies, bridging the gap between laboratory and real-world applications. Batch experiments yielded maximum adsorption capacities of 6.25 mg/g and 4.71 mg/g in a synthetic matrix and real groundwater, respectively, demonstrating the impact of the water matrix on adsorption. Operational constraints and competing anions led to a lower capacity in the pilot (0.551 mg/g). Good agreement was observed between the breakthrough curves in the pilot (breakthrough at 475 bed volumes) and the fixed-bed column studies (365-587 bed volumes) under similar empty bed contact times (EBCTs). The Thomas, Adams-Bohart, and Yoon-Nelson models demonstrated that lower flow rates and extended EBCTs significantly enhance arsenic removal efficiency, prolonging the operational lifespan. Our findings demonstrate the necessity of continuous-flow experiments using real contaminated water sources and the importance of optimizing flow conditions, EBCTs, and pre-treatment in order to successfully scale up Fe-Mn-based adsorbents for sustainable arsenic removal.

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Publication Details

Journal
Nanomaterials
Published
2025-07-16
DOI
https://doi.org/10.3390/nano15141104
Citations
5
Primary Topic
Arsenic contamination and mitigation
Type
article
Field-Weighted Citation Impact
4.30

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article

From Batch to Pilot: Scaling Up Arsenic Removal with an Fe-Mn-Based Nanocomposite

Malcolm Watson, Aleksandra Tubić, Jasmina Agbaba, Jasmina Nikić et al.
5 citations
Nanomaterials
Arsenic contamination and mitigation
4.30
article

From Batch to Pilot: Scaling Up Arsenic Removal with an Fe-Mn-Based Nanocomposite

Malcolm Watson, Aleksandra Tubić, Jasmina Agbaba, Jasmina Nikić, Jovana Jokić Govedarica, Đorđe Pejin
article en
5 citations

Abstract

Arsenic contamination in groundwater is a significant public health concern, with As(III) posing a greater and more challenging risk than As(V) due to its higher toxicity, mobility, and weaker adsorption affinity. Fe-Mn-based adsorbents offer a promising solution, simultaneously oxidizing As(III) to As(V), enhancing its adsorption. This study evaluates an Fe-Mn nanocomposite across typical batch (20 mg of adsorbent), fixed-bed column (28 g), and pilot-scale (2.5 kg) studies, bridging the gap between laboratory and real-world applications. Batch experiments yielded maximum adsorption capacities of 6.25 mg/g and 4.71 mg/g in a synthetic matrix and real groundwater, respectively, demonstrating the impact of the water matrix on adsorption. Operational constraints and competing anions led to a lower capacity in the pilot (0.551 mg/g). Good agreement was observed between the breakthrough curves in the pilot (breakthrough at 475 bed volumes) and the fixed-bed column studies (365-587 bed volumes) under similar empty bed contact times (EBCTs). The Thomas, Adams-Bohart, and Yoon-Nelson models demonstrated that lower flow rates and extended EBCTs significantly enhance arsenic removal efficiency, prolonging the operational lifespan. Our findings demonstrate the necessity of continuous-flow experiments using real contaminated water sources and the importance of optimizing flow conditions, EBCTs, and pre-treatment in order to successfully scale up Fe-Mn-based adsorbents for sustainable arsenic removal.

NanomaterialsVol. 15(14)
University of Novi Sad (RS)
Science Fund of the Republic of Serbia
Openalex Percentile: Top 6%
Arsenic contamination and mitigation
4.30
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From Batch to Pilot: Scaling Up Arsenic Removal with an Fe-Mn-Based Nanocomposite — Malcolm Watson, Aleksandra Tubić, et al. · Nanomaterials (2025) | TGRS Research Map | TGRS