Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Reducing oil content of mayonnaise by using double emulsion
Date
2017-06-23
Author
Şahin, Serpil
Şümnü, Servet Gülüm
Metadata
Show full item record
Item Usage Stats
83
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/73826
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Reducing oil content of mayonnaise by using double emulsions
Şümnü, Servet Gülüm; Şahin, Serpil (2017-06-23)
Reducing saturated fat with oleogel/shortening blends in a baked product
Mert, Behiç (2016-05-15)
Short dough cookie structure, characterized by its aerated and tender texture, depends on the presence of solid fat during kneading. The objective of this study was to investigate the potential application of Candelilla wax (CDW) containing oleogels for partial replacement of the shortening in cookies. Oleogels were prepared with different amounts of CDW and blended with a commercial bakery shortening. After crystallizing the oleogel/shortening blends by using a pilot scale crystallization unit, the blends ...
Reducing Label Noise in Anchor-Free Object Detection
Samet, Nermin; Hiçsönmez, Samet; Akbaş, Emre (2020-08-03)
Reducing water imbalance in land data assimilation: Ensemble filtering without perturbed observations
Yılmaz, Mustafa Tuğrul; Yilmaz, M. Tugrul (American Meteorological Society, 2012-02-01)
It is well known that the ensemble Kalman filter (EnKF) requires updating each ensemble member with perturbed observations in order to produce the proper analysis-error covariances. While increased accuracy in a mean square sense may be preferable in many applications, less accuracy might be preferable in other applications, especially if the variables being assimilated obey certain conservation laws. In land data assimilation, for instance, the update in soil moisture often produces a water balance residua...
Lowering of clinkering temperature by the addition of boron compounds.
Kayı (Oktaykan), Füsun; Department of Chemical Engineering (1977)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Şahin and S. G. Şümnü, “Reducing oil content of mayonnaise by using double emulsion,” 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73826.