Amphiphilic copolymers of dimethyl aminoethyl methacrylate and methyl methacrylate with controlled hydrophilicity for antialgal activity
Bibliographic record
Abstract
Abstract Biofouling due to algae mass attachment has detrimental effects on the performance and economy of many manufacturing processes. In consideration of this, present research is focused to mitigate such effect through the development of environmentally benign active antialgal cationic amphiphilic copolymers of poly(2‐(dimethylamino)ethyl methacrylate) (PDMAEMA) and methyl methacrylate (MMA). The copolymers compositions were synthesized to tailor various characteristics to control surface biofilm formation and antialgal activities were determined through suspension assay. Biofilm formation of Dictyosphaerium sp . algae on the synthesized copolymers of different surface energies was ascertained by measuring chlorophyll A content and percent adhesion of algae. The copolymers antialgal performance enhanced with increase in PDMAEMA concentration as it exhibited the lowest contact angle as well as adhesion and minimum chlorophyll A contents. Algal adhesion on the surface of materials was also observed by optical microscopy. The copolymers with higher concentration of DMAEMA resulted in greater hydrophilicity which exhibited low adhesion of Dictyosphaerium algae due to possibility of stronger hydration effect and wettability as evident from their lower water contact angle. The developed benign cationic polymers of PDMAEMA and PMMA with varying compositions can lead to important breakthrough in the subject area of antialgal research in several manufacturing processes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".