Evidence map›Paper›PMID 39759099›Full record

ArticleACS ES&T engineering2024

Surface Complexation and Packed Bed Mass Transport Models Enable Adsorbent Design for Arsenate and Vanadate Removal.

Emily Briese, Ken Niimi, Annika Hjelmstad, Paul Westerhoff

Abstract read
In one paragraph

Article in ACS ES&T engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emily BrieseSchool of Sustainable Engineering & the Built Environment, Arizona State University, Tempe, Arizona 85287, United States of America.
Ken NiimiSchool of Sustainable Engineering & the Built Environment, Arizona State University, Tempe, Arizona 85287, United States of America.
Annika HjelmstadDepartment of Civil and Environmental Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, California 92697, United States of America.
Paul WesterhoffSchool of Sustainable Engineering & the Built Environment, Arizona State University, Tempe, Arizona 85287, United States of America.

Funding

Spatial patterns of metals and metal mixtures in drinking waterP42ES030990 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZIMMERMAN, JULIE · 2020 to 2024
$8.3M
NIEHS NIH HHS P42 ES030990
6 · The paper itself

Abstract

Co-occurrence of metal oxo-anions (e.g., arsenate) in drinking water pose human health risks. To understand and predict competition and breakthrough for individual or mixtures of oxo-anions in continuous-flow packed bed adsorption systems, we linked equilibrium surface complexation models (SCMs) with a Pore Surface Diffusion Model (PSDM). After parameterization using data for two commercial adsorbents, the SCM and PSDM predicted well the adsorption isotherm data and column breakthrough curves, respectively, for single-solute (arsenate) and bi-solute water chemistries (arsenate, vanadate) as well as chromatographic displacement of previously adsorbed arsenate by vanadate. Surface- and pore- diffusivities for both commercial adsorbents were 3.0 to 3.5 x10

Indexed as

AdsorptionMass TransportModelingOxo-AnionWater Treatment

Identifiers

PMID39759099
PMCPMC11698511

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.