Constructing bifunctional interfacial electric field triggered NiCo2S4 loaded 3D nanoflower CuFe LDH as self-cascade nanoreactor photo-Fenton system to efficiently degrade ciprofloxacin
Bibliographic record
Abstract
A catalytic heterostructure driven by nanocatalyst (NCs) induced reactive oxygen species (ROS) has been proposed as a potential tool for cleaning and degrading pharmaceutical pollutants from contaminated water. The study used a facile reflux-assisted method for the synthesis of NiCo 2 S 4 -CuFe LDH NCs (NCS@CF). The CuFe LDH 3D nanoflowers were successfully deposited onto NiCo 2 S 4 , and verified using transmission electron microscope (TEM) and scanning electron microscope (SEM) image analysis. The electronic and optical properties of NCS@CF NCs for ciprofloxacin (CIP) degradation were validated through x-ray photoelectron spectroscopy (XPS), photoluminescence (PL), electron impedance spectroscopy (EIS), and diffuse reflectance spectroscopy (UV- DRS). The NCS@CF NCs exhibits type IV isotherm with microporous nature with an average pore radius of 1.5 nm. The Mott-Schottky plot determines the n-type semiconducting nature of the materials with conduction band potential of -0.33 and -0.54 V for NiCo 2 S 4 and CuFe LDH , respectively. An interfacial electric field (IEF) was created after NCS@CF NCs formation. It followed Z scheme-type charge migration after light irradiation , facilitating dynamic electron transfer and limiting the charge recombination rate. The degradation of CIP was 97.15 % with a rate constant of 0.026 min -1, which was 8.6, 4.12 and 15 times greater than NiCo 2 S 4 with H 2 O 2 , CuFe LDH with H 2 O 2 and NCS@CF NCs without H 2 O 2 , respectively. It is attributed to the synergistic interaction of NCS@CF NCs and H 2 O 2 in free radical generation for oxidizing the pollutant. The scavenging test identified the involvement of superoxide (O 2 • - ) and hydroxyl radical (•OH) as dominant species in the catalytic process. This design strategy opens new avenues for developing highly effective photocatalysts and setting the stage for future advancements in the promising environmental remediation field. This study paves a way for manufacturing innovation in near future.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".