Photochemical degradation of aqueous artificial sweeteners by <scp>UV</scp>/<scp>H<sub>2</sub>O<sub>2</sub></scp> and their biodegradability studies
Why this work is in the frame
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Bibliographic record
Abstract
Abstract BACKGROUND Photochemical degradations of three commonly used artificial sweeteners, namely aspartame (ASP), acesulfame K (ACE), and sucralose (SUC), are studied in multicomponent aqueous systems, and treated through UV/H 2 O 2 process in a recirculating batch reactor. The biodegradation characteristics of the three sweeteners are also investigated both in single and multicomponent aqueous systems through respirometry. The results are used to draw conclusions and recommendations for onsite treatment of industrial wastewaters containing artificial sweeteners. RESULTS The effects of the operating temperature and the applied H 2 O 2 dosage are found to be significant on the overall degradation efficiency. An interaction effect between aspartame and sucralose is identified, resulting in a temporary improvement in total organic carbon (TOC) removal in some cases. Respirometric tests confirm that acesulfame K and sucralose are non‐biodegradable, whereas aspartame is readily biodegradable with a 6‐day carbonaceous biochemical oxygen demand to theoretical oxygen demand (cBOD 6 /ThOD) ratio of 0.63 ± 0.02. CONCLUSIONS It is concluded that activated sludge processes can remove ASP even in the presence of ACE and SUC. The latter two compounds cannot be degraded by activated sludge. Hence, the UV/H 2 O 2 process is a suitable treatment technique for simultaneous removal when all three sweeteners are present in an aqueous matrix. A higher temperature of the wastewater stream may be used as a process variable to reduce oxidant dosing when applicable. © 2020 Society of Chemical Industry
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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 it