Details

Proučevanje procesnih parametrov za izdelavo gela ksantana : enoviti magistrski študijski program Farmacija
ID Plut, Karin (Author), ID Kerč, Janez (Mentor) More about this mentor... This link opens in a new window, ID Homar, Miha (Comentor)

URLURL - Presentation file, Visit http://www.ffa.uni-lj.si/docs/default-source/knjiznica-doc/magistrske/2017/plut_karin_mag_nal_2017.pdf?sfvrsn=2 This link opens in a new window

Language:Slovenian
Keywords:ksantanski gel, polimeri, načrtovanje eksperimentov, procesni parametri, vzorci, reologija
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FFA - Faculty of Pharmacy
Place of publishing:Ljubljana
Publisher:[K. Plut]
Year:2017
Number of pages:IX, 60 f.
PID:20.500.12556/RUL-97946 This link opens in a new window
UDC:532.135:615(043.3)
COBISS.SI-ID:4370545 This link opens in a new window
Publication date in RUL:05.01.2018
Views:2007
Downloads:295
Metadata:XML DC-XML DC-RDF
:
PLUT, Karin, 2017, Proučevanje procesnih parametrov za izdelavo gela ksantana : enoviti magistrski študijski program Farmacija [online]. Master’s thesis. Ljubljana : K. Plut. [Accessed 31 March 2025]. Retrieved from: http://www.ffa.uni-lj.si/docs/default-source/knjiznica-doc/magistrske/2017/plut_karin_mag_nal_2017.pdf?sfvrsn=2
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Investigation of the process parameters for preparation of the xanthan gel

Similar documents

Similar works from RUL:
  1. Recognising people’s age from face images with convolutional neural networks
  2. Detekcija uhljev s konvolucijskimi nevronskimi mrežami
  3. Iris recognition using deep learning
  4. Automatic classification of buildings with deep learning
  5. Automatic image captioning using deep neural networks
Similar works from other Slovenian collections:
  1. Person age estimation based on digital images using convolutional neural networks
  2. Person activity recognition from image sequence using convolutional neural networks
  3. Food recognition from digital images using convolutional neural networks
  4. Recognition of human emotions on digital images using convolutional neural networks
  5. Time series classification based on convolutional neural networks

Back