Bence Kozma - Data sheet of PhD student


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Data sheet of PhD student

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Personal data

name	Bence Kozma
name of institution	Budapest University of Technology and Economics
doctoral school	BME George A. Olah Doctoral School of Chemistry and Chemical Technology

Supervision
thesis supervisor	Szilveszter Gergely
one supervisor or with co-supervisor	individual
degree	PhD
starting of doctoral studies	2015
date of final certificate (year,month)	2018/01
year in which degree was obtained	2019
diszertáció	Doi/handle link (thesis, statements)
data of the public discussion	defense

Publications

2018

Kozma Bence, Salgó András, Gergely Szilveszter: Comparison of multivariate data analysis techniques to improve glucose concentration prediction in mammalian cell cultivations by Raman spectroscopy, JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS 158: pp. 269-279.
type of document: Journal paper/Article
language: English
DOI

2017

Kozma Bence, Hirsch Edit, Gergely Szilveszter, Párta László, Pataki Hajnalka, Salgó András: On-line prediction of the glucose concentration of CHO cell cultivations by NIR and Raman spectroscopy: Comparative scalability test with a shake flask model system, JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS 145: pp. 346-355.
type of document: Journal paper/Article
language: English
DOI

2014

Bence Kozma, László Párta, Dénes Zalai, Szilveszter Gergely, András Salgó: A model system and chemometrics to develop near infrared spectroscopic monitoring for Chinese hamster ovary cell cultivations, JOURNAL OF NEAR INFRARED SPECTROSCOPY 22: (6) pp. 401-410.
type of document: Journal paper/Article
number of independent citations: 1
language: English
DOI

2013

Kozma B, Párta L, Gergely Sz, Salgó A: Developing FT-NIR calibrations to measure glucoce level of mammalian cell cultivation broths., In:Szerk.: V Bellon-Maurel, Szerk.: P Williams, Szerk.: G Downey Proceedings of the 16th International Conference on Near Infrared Spectroscopy (NIR2013).Montpellier, Franciaország, 2013.06.02-2013.06.07. Montpellier: pp. 343-348. Kiadvány: Montpellier: 2013.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL

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Scientometric data

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