Разработка усовершенствованной технологии выделения и очистки полимиксина В
Bibliographic record
Abstract
Предложена усовершенствованная технология выделения и очистки полимиксина В с использованием макропористого сильнокислотного катионита Dowex-MSC-1 и сульфокислотного катионита КУ-2-20, позволяющая сократить количество стадий выделения и химической очистки и получить фармацевтически чистую субстанцию полимиксина В сульфата, соответствующую международным требованиям по качеству, с одновременным повышением выхода конечного продукта до 65%. Список ссылок 1. Newton B.A. / Bacteriol. Rev. 1956. V. 20. No. 1. P. 14-27. 2. Егоров Н.С. Основы учения об антибиотиках. – М.: Изд-во МГУ, 2004. --- 528 с. 3. Щетинин Е.В. / Клин. микробиол. и антимикроб. химиотер. 2000. T. 2. № 3. C. 68-73. 4. Ковалёв В.Ф., Волков И.Б., Виолин Б.В., Ортман Р.А., Хоменко В.С., Хоменко Н.Р. Антибиотики, сульфаниламиды и нитрофураны в ветеринарии: Справочник. – М.: Агропромиздат, 1988. --- 226 с. 5. European Pharmacopoeia 7.0. – Strasbourg: European Directorate for the Quality of Medicines & HealthCare, 2010. V. 2. P. 2753-2754. 6. Мамиофе С.М., Синицына З.Т., Хохлов А.С. Способ получения антибиотика полимиксина. А. с. СССР № 111195. 1957. 7. Bushby S.R.M. Polymyxin Antibiotic and Method of Forming the Same. Canadian Patent #515306. 1955. 8. Maude B.A. Method for Manufacture of Polymyxin. United States Patent #2602041. 1952. 9. Pope C.G., Duffin W.M. Improvements Relating to the Extraction and Purification of an Antibiotic. Great Britain Patent #647925. 1950. 10. Varga I., Bobalova M., Michalkova E., Jakubcova M. Method of Polymyxin Recovery from Fermentation Broth. United States Patent #7951913. 2011. 11. Скрябин К.Г., Джавахия В.В., Глаголева Е.В., Петухов Д.В., Овчинников А.И. Способ получения фармацевтической субстанции полимиксина В. Патент РФ № 2492180. 2013.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.010 |
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".