Evidence map›Paper›PMID 41527806›Full record

ArticleJournal of separation science2026

Chromatographic-Based Binding and Thermodynamic Studies of Antibiotic Micropollutants with Humic Acid Using Affinity Microcolumns.

Sadia Sharmeen, Isaac Kyei, Saumen Poddar, Sazia Iftekhar, B K Sajeeb, Lillian M Graham, Daniel D Snow, David S Hage

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sadia SharmeenDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Isaac KyeiDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Saumen PoddarDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Sazia IftekharDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
B K SajeebDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Lillian M GrahamDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Daniel D SnowWater Science Laboratory and Nebraska Water Center, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
David S HageDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.

Funding

National Science Foundation CHE 2320239National Science Foundation CHE 2404209
6 · The paper itself

Abstract

High-performance affinity microcolumns with entrapped humic acid were utilized to investigate interactions between this natural carrier agent and several classes of antibiotics that are common emerging environmental contaminants, or micropollutants. Aldrich humic acid was used as a general model for this type of binding agent. Chromatographic studies under various temperature and mobile phase conditions were used to characterize interactions of the humic acid with the antibiotics sulfadiazine and sulfamethoxazole (sulfonamides), clarithromycin (a macrolide), and lincomycin (a lincosamide). It was determined by this approach that sulfadiazine and sulfamethoxazole had moderate affinities for the humic acid at pH 7.0 and 25°C, with distribution equilibrium constants (K

Indexed as

Anti-Bacterial AgentsChromatography, AffinityHumic SubstancesWater Pollutants, ChemicalChromatography, High Pressure LiquidThermodynamicsAnti-Bacterial AgentsHumic SubstancesWater Pollutants, Chemicalaffinity microcolumnsantibioticsbinding studieshigh‐performance affinity chromatographyhumic acidmicropollutants

Identifiers

PMID41527806
PMCPMC12797113

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Registered trials

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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.