Acylation of unprotected lactose with 1,18‐octadec‐9‐enedioyl chloride for the synthesis of monocatenary and bolaform agro‐based surfactants
Bibliographic record
Abstract
Abstract Agro‐based surfactants have one of two hydrophilic or hydrophobic parts of vegetable origin. They can be produced from renewable and readily available resources. Carbohydrate fatty acid esters are non‐toxic, non‐ionic, and biodegradable agro‐based surfactants with applications in the pharmaceutical, cosmetic, and food industries. In this work, the chemical synthesis of agro‐based surfactants through lactose acylation with 1,18‐octadec‐9‐enedioyl chloride (Acyl‐Cl) was investigated at room temperature. The acylation reaction proved to be regioselective to the primary hydroxyl group of the glucose‐moiety in the lactose molecule and was promoted by an excess of lactose to produce higher substituted derivatives. Acyl‐Cl conversion was ∼98 % after 1 h of reaction. The production of monocatenary agro‐based surfactant, mono‐lactose 1,18‐octadec‐9‐enoate, was favoured with a molar ratio lactose/Acyl‐Cl of 1 achieving a yield of 48 % after 20 min. Moreover, production of bolaform agro‐based surfactant, di‐lactose 1,18‐octadec‐9‐enedioate, was favoured with a molar ratio of 3 lactose/Acyl‐Cl with a yield of 33 % after 1 h of reaction. A one‐pot synthesis of agro‐based bolaform surfactant was successfully achieved for the first time in the open literature. Monocatenary and bolaform agro‐based surfactants were isolated by preparative liquid chromatography with high purity according to their chemical structure identification by liquid chromatography coupled to mass spectrometry and 1H nuclear magnetic resonance. Their critical micellar concentration (12–9 μM) determined by fluorescence spectroscopy with pyrene used as a probe, and hydrophilic:lipophilic balance values (10.7–14.2) indicated that monocatenary and bolaform agro‐based surfactants can act as oils in water emulsion.
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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".