Effects of sodium sulfonate with different alkyl chain lengths on starch in starch-rich system: structure, surface properties, and interaction mechanism
Why this work is in the frame
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Bibliographic record
Abstract
• Sodium sulfonate with different chain lengths complex with starch in various forms. • Adjusting the chain length of emulsifier to promote the starch surface properties. • Electrostatic interaction induced cross-linking of starch in sodium hexane sulfonate and sodium octadecyl sulfate. The inherent limited compatibility of starch with other synthetic polymers or natural polymers significantly impedes its utilization efficiency, compromising the mechanical strength and stability of starch-based materials. Introducing emulsifiers to starch molecule to alter its surface properties is an efficient way to promote its compatibility with various matrices. This study examined the effects of sodium sulfonates with varying alkyl chain lengths, specifically sodium dodecyl sulfate (SDS), sodium hexane sulfonate (SHS), and sodium octadecyl sulfate (SOS) , on the structural and surface properties of starch. The underlying interaction mechanisms were investigated through both experimental and simulation methods. Results showed that the short-chain SHS were predisposed and imbedded within starch molecules, effectively performing dual roles as emulsifiers and cross-linking agents while the moderate-chain SDS were likely to act as emulsifiers. However, the long-chain emulsifiers were found to envelop the surfaces of starch aggregates, fostering a degree of cross-linking through hydrophobic interactions, ultimately contributing to an expansion in size. The molecular simulations supported lower energy requirement and higher Van der Waals interaction were adequate to form the SDS/Starch complex system. Once the inclusion complexes were formed, this would change starch's molecular flexibility and complex stability, leading to improved surface properties.
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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 | 0.000 | 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 | 0.001 |
| 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