Vote for your favorite mineral in #MinCup25! - Zunyite vs. Molybdenite
It's the visually-unmistakable #zunyite vs the physically funky #molybdenite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Piasecka, Iga, Brzezińska, Rita, Wiktor, Artur, Górska, Agata (2024) Response Surface Methodology for Ultrasound-Assisted Oil Extraction Optimization from Blackberry, Chokeberry, and Raspberry Waste Products. Applied Sciences, 14 (16) 7214 doi:10.3390/app14167214

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleResponse Surface Methodology for Ultrasound-Assisted Oil Extraction Optimization from Blackberry, Chokeberry, and Raspberry Waste Products
JournalApplied Sciences
AuthorsPiasecka, IgaAuthor
Brzezińska, RitaAuthor
Wiktor, ArturAuthor
Górska, AgataAuthor
Year2024 (August 16)Volume14
Page(s)7214Issue16
PublisherMDPI AG
DOIdoi:10.3390/app14167214Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17548440Long-form Identifiermindat:1:5:17548440:1
GUID0
Full ReferencePiasecka, Iga, Brzezińska, Rita, Wiktor, Artur, Górska, Agata (2024) Response Surface Methodology for Ultrasound-Assisted Oil Extraction Optimization from Blackberry, Chokeberry, and Raspberry Waste Products. Applied Sciences, 14 (16) 7214 doi:10.3390/app14167214
Plain TextPiasecka, Iga, Brzezińska, Rita, Wiktor, Artur, Górska, Agata (2024) Response Surface Methodology for Ultrasound-Assisted Oil Extraction Optimization from Blackberry, Chokeberry, and Raspberry Waste Products. Applied Sciences, 14 (16) 7214 doi:10.3390/app14167214
In(2024, August) Applied Sciences Vol. 14 (16) MDPI AG


See Also

These are possibly similar items as determined by title/reference text matching only.

 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 12, 2025 20:51:42
Go to top of page