Enhanced herbicide removal using an innovative NaP1-Fe3O4-La(OH)3 zeolite: Advances in water treatment and experimental modeling
Bibliographic record
Abstract
This study explores the synthesis of a novel and efficient NaP1 zeolite from Austrian fly ash (AFA), composited with Fe 3 O 4 nanoparticles (NPs) and lanthanum hydroxides [La(OH) 3 ]. The composite's efficacy was tested for simultaneously adsorbing glyphosate (GLY), glufosinate (Glu), and aminomethylphosphonic acid (AMPA) from water solution. The inclusion of Fe 3 O 4 NPs and La(OH) 3 enhanced the nanoadsorbent's rapid and effective separation capabilities. Significantly, an innovative kinetic model, the Film-Pore-[Concentration-Dependent] Surface Diffusion Model (FPCDSD), was developed to analyze adsorption mechanisms, aligning with experimental results and accurately predicting adsorption processes in single and competitive scenarios. The model used detailed calculations to evaluate mass transfer resistances, employing parameters like rotation speed, adsorbent dosage, and initial concentrations to correlate adsorption data under various conditions. The study found that adsorption capacity retained 92 % effectiveness after 10 adsorption-desorption cycles, consistent with previous research. Results indicated that electrostatic interactions, herbicide affinity for La and Fe complexes, hydrogen bonding, and surface and pore diffusion likely drive adsorption mechanisms. Laboratory tests showed that Gly achieved the Maximum Residual Level (MRL) of 0.1 μg/L as per the European directive for drinking water with 99.95 % removal efficiency, suggesting that NaP1-Fe 3 O 4 -La(OH) 3 is a highly effective option for water treatment. Software : Blender, Avogadro, ChemDraw/Chem3D Concept : The idea, design, and visualization of this figure were entirely developed by me. Explanation : The graphical abstract visually represents the adsorption of herbicides (Glufosinate, AMPA, and Glyphosate) onto a composite material synthesized from Zeolite, Lanthanum hydroxide [ La(OH)₃], and Iron oxide nanoparticles ( Fe₃O₄). In this illustration, La(OH)₃ is symbolized by the diamond-shaped structures, and Fe₃O₄ is depicted as spherical balls. The image highlights the selective adsorption mechanism of these herbicides onto the composite surface, demonstrating the interaction between the adsorbent components and the pollutants. This visual complements the detailed explanation provided in section 4.3 of manuscript , showcasing how the composite material effectively reduces herbicide pollution through its advanced adsorptive properties. • An innovative, facile, efficient and economically feasible adsorbent is developed. • The effect of NaP1-Fe 3 O 4 -La(OH) 3 adsorbent was explored for removal of Herbicides. • A novel FPCDSD model is applied to examine the mechanism of adsorption. • Gly was reduced to meet the European Union's Maximum Residual Limit of 0.1 μg/L
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".