Form of presentation | Articles in international journals and collections |
Year of publication | 2020 |
Язык | английский |
|
Salamatin Artur Andreevich, author
Khaliullina Alyona Sergeevna, author
|
|
Khaziev Ramil Shamilevich, author
|
Bibliographic description in the original language |
Salamatin A.A, Khaliullina A.S, Khaziev R.S., Extraction of aromatic abietane diterpenoids from Salvia officinalis leaves by petroleum ether: Data resolution analysis//Industrial Crops and Products. - 2020. - Vol.143, Is.. - Art. № 111909. |
Annotation |
Salvia officinalis is the source of a vast variety of compounds valuable for pharmaceutical and food industry. The
extractability of lipophilic diterpenoids from S. officinalis(L.) by petroleum ether is studied using Soxhlet, reflux,
and percolation methods. The binding of the solute to the plant matrix is described by the Hill-Langmuir desorption
model. The Monte Carlo sampling method is used to constrain the parameters of the extraction model
and perform the resolution analysis of the extraction data. The percolation, followed by extraction at reflux, is
demonstrated to be the most efficient method of extraction. The freely available content is estimated to be
ye=20.0 ? 2.9 mg g–1, while the total content in our case is shown to be 50–55 mg g–1 or higher. For engineering
applications, the estimate of 60–70 mg g–1 is suggested as the upper limit. |
Keywords |
Salvia officinalis, сarnosic acid, total content, рetroleum ether, рercolation, resolution analysis |
The name of the journal |
Industrial Crops and Products
|
URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074449679&doi=10.1016%2fj.indcrop.2019.111909&partnerID=40&md5=4c4d31518573827eefbd344acf135d1b |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=215172&p_lang=2 |
Resource files | |
|
Full metadata record ![](https://shelly.kpfu.ru/pdf/picture/arrow_black_right.gif) |
Field DC |
Value |
Language |
dc.contributor.author |
Salamatin Artur Andreevich |
ru_RU |
dc.contributor.author |
Khaliullina Alyona Sergeevna |
ru_RU |
dc.contributor.author |
Khaziev Ramil Shamilevich |
ru_RU |
dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2020 |
ru_RU |
dc.identifier.citation |
Salamatin A.A, Khaliullina A.S, Khaziev R.S., Extraction of aromatic abietane diterpenoids from Salvia officinalis leaves by petroleum ether: Data resolution analysis//Industrial Crops and Products. - 2020. - Vol.143, Is.. - Art. № 111909. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=215172&p_lang=2 |
ru_RU |
dc.description.abstract |
Industrial Crops and Products |
ru_RU |
dc.description.abstract |
Salvia officinalis is the source of a vast variety of compounds valuable for pharmaceutical and food industry. The
extractability of lipophilic diterpenoids from S. officinalis(L.) by petroleum ether is studied using Soxhlet, reflux,
and percolation methods. The binding of the solute to the plant matrix is described by the Hill-Langmuir desorption
model. The Monte Carlo sampling method is used to constrain the parameters of the extraction model
and perform the resolution analysis of the extraction data. The percolation, followed by extraction at reflux, is
demonstrated to be the most efficient method of extraction. The freely available content is estimated to be
ye=20.0 ? 2.9 mg g–1, while the total content in our case is shown to be 50–55 mg g–1 or higher. For engineering
applications, the estimate of 60–70 mg g–1 is suggested as the upper limit. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Salvia officinalis |
ru_RU |
dc.subject |
сarnosic acid |
ru_RU |
dc.subject |
total content |
ru_RU |
dc.subject |
рetroleum ether |
ru_RU |
dc.subject |
рercolation |
ru_RU |
dc.subject |
resolution analysis |
ru_RU |
dc.title |
Extraction of aromatic abietane diterpenoids from Salvia officinalis leaves by petroleum ether: Data resolution analysis |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|