Preparation of dialdehyde cellulose nanocrystal as an adsorbent for creatinine
Bibliographic record
Abstract
In this work, dialdehyde cellulose nanocrystals (DCNCs) were prepared via oxidizing cellulose nanocrystals (CNCs) with sodium periodate. The changes in the morphology of CNCs were evaluated by means of Fourier transform infrared spectrophotometry (FTIR), X‐ray diffraction (XRD), and atomic force microscopy (AFM). The product (DCNC) was used as an adsorbent for creatinine. The results showed that the adsorption capacity of DCNCs increased with the increase in its aldehyde content. With a decrease in the size of DCNCs, the adsorption of creatinine on DCNCs became faster. The results revealed that the adsorption isotherm of DCNCs agreed with the Freundlich adsorption model and the adsorption process followed a second‐order kinetic model. Overall, the maximum adsorption of creatinine on DCNCs (with 4.41 mmol/g aldehyde content) was 1.50 mg/g, which was obtained under the adsorption conditions of 100 mg/L initial creatinine concentration, 8 h treatment time, and pH 7. The results suggest that the DCNCs may have potential to be used as an adsorbent for creatinine to treat chronic renal failure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.000 | 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".