Study on Extraction and Purification Process of Capsicum Red Pigment
Bibliographic record
Abstract
Capsicum red pigment extracted from the dry pepper is a kind of high-quality natural dye which has anticancer andcosmetic properties. First, Qiu North spicy was selected as the experimental objects by comparising the peel meal rateand relative amount of pigment of Fructus capsici, Qian chilli 2, and Qiu North spicy. Then, before extracting paprikadye, sodium hydroxide was used to eliminate the piquancy. Capsicum red pigment was extracted in Soxhlet extractorwith 95% ethanol. The elution condition of column chromatographic separation was obtained by thin-layerchromatography, and the purity of capsicum red pigment was identified by methods of infrared spectrum(IR). Finally,the color value of capsicum red pigment was determined by spectrophotometer with 460nm. Results showed that theoptimal process: Concentration of peppery removal agent (sodium hydroxide) was 10%, the holding temperature was80????, solid-liquid ratio was 1:20 (g/ml), the extraction time was 120min and the times of extraction were twice. Eluentof silica gel column chromatography separation consisted of petroleum ether and 90% ethanol with the volume ratio of2:1. The color value of capsicum red pigment (E1cm1%460nm) could reach to 125 and 2.88% of yield could be gained.The process was good to extract and purify capsicum red dye whose stability was high at neutral and weak acidsolution.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".