Counterion Effects in Metal Hybrid Biopolymer Materials for Sulfate Adsorption: An Experimental and Computational Study
Bibliographic record
Abstract
Modification of biomaterials is an active research area in materials and environmental science, where the controlled removal of sulfate is a key goal toward achieving global water security in regions with saline aquifers. In this study, biopolymer-based ternary metal composites (TMCs) were prepared that contain alginate/chitosan/Al(III) with variable counterions: chloride (C), nitrate (N), and sulfate (S), denoted as TMC-C, TMC-N, and TMC-S, respectively. The structure and physicochemical properties of the TMCs were characterized by spectroscopy (NMR, FT-IR, Raman, and XPS) and other complementary methods (thermal gravimetry, potentiometry, and zeta potential) to gain insights on the role of counterion effects related to the adsorption properties of TMCs with inorganic and organic anions in aqueous media. Both equilibrium and dynamic adsorption properties of the TMCs were evaluated with inorganic sulfate (Na 2 SO 4 ) and two types of anionic organic dyes (methyl orange, MO,; and reactive black-5, RB5) at pH 7 and 295 K. A computational study was carried out to evaluate the structural features of the TMCs related to the coordination of sulfate with the TMC-N system. The charge state of the TMCs for the various counterion systems was estimated according to the pH PZC (5.0 to 5.9) and zeta potential (+8.31 to +35.7 mV) of the composites in aqueous media. The presence of variable counterions (chloride, nitrate, and sulfate) revealed the effects on the equilibrium and kinetic uptake of sodium sulfate and RB5. The Sips isotherm model for sulfate adsorption revealed a value of Q e from 87 to 120 mg/g, which depends on the counterion. The uptake of RB5 ( Q m = 77 to 208 mg/g) by the TMCs varied over a wider range due to the role of secondary biopolymer adsorption sites. The incorporation of switchable counterions in TMCs offer a low-cost and bottom-up approach for the design of tailored biopolymer adsorbents with tunable anion uptake properties toward organic and inorganic anions in aqueous media.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".