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doctoral thesis
Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2021. urn:nbn:hr:159:837313
Mandac Zubak, Ana
University of Zagreb
Faculty of Food Technology and Biotechnology
Department of Biochemical Engineering
Laboratory for Biochemical Engineering, Industrial Microbiology and Malting and Brewing Technology

Institutional repository: Repository of the Faculty of Food Technology and Biotechnology

Cite this document

Mandac Zubak, A. (2021). Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:837313

Mandac Zubak, Ana. "Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C." Doctoral thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2021. https://urn.nsk.hr/urn:nbn:hr:159:837313

Mandac Zubak, Ana. "Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C." Doctoral thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2021. https://urn.nsk.hr/urn:nbn:hr:159:837313

Mandac Zubak, A. (2021). 'Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C', Doctoral thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 30 August 2024, https://urn.nsk.hr/urn:nbn:hr:159:837313

Mandac Zubak A. Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2021 [cited 2024 August 30] Available at: https://urn.nsk.hr/urn:nbn:hr:159:837313

A. Mandac Zubak, "Razvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C", Doctoral thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:159:837313

Metadata
TitleRazvoj i validacija metoda vibracijske spektroskopije za identifikaciju pročišćenih meningokoknih polisaharida serogrupa A i C
Title (english)Development and validation of vibrational spectroscopy methods for identification of purified meningococcal polysaccharides serogroups A and C
AuthorAna Mandac Zubak
MentorAnita Slavica (mentor)
Committee memberJagoda Šušković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Biochemical Engineering)
(Laboratory for Biochemical Engineering, Industrial Microbiology and Malting and Brewing Technology)
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Biotechnology
Universal decimal classification
(UDC)		54 - Chemistry. Crystallography. Mineralogy
Abstract
Cilj ovog rada je bio istražiti mogućnost primjene novih metoda vibracijske spektroskopije - spektroskopije bliskoga infracrvenoga zračenja (NIR) i Ramanove spektroskopije, za identifikaciju pročišćenih meningokoknih polisaharida serogrupa (PMPS) A i C. Primjenom kemometrije formirani su NIR i Raman SIMCA i PLS-DA modeli. Optimizirani i validirani modeli imaju 100 %-tnu učinkovitost klasificiranja nepoznatih uzoraka PMPS A i C. Oba NIR modela, koji su formirani na temelju podataka o proizvodnim serijama PMPS A i C, su učinkovito potvrdili identitet standarda polisaharida A i C. Pristupom NIR i Raman SIMCA jednoklasnog modeliranja utvrđena je 100 %-tna učinkovitost autentifikacijskih modela za, zasebno, PMPS A i PMPS C. Primjena NIR i Raman modela za identifikaciju PMPS A i C je izvrsna alternativa referentnoj dvostrukoj imunodifuziji - Ouchterlony metodi u uporabi. Kvalitativni istraživački pristup i rezultati ovog rada mogu se primijeniti u razvoju novih NIR i Raman modela za identifikaciju drugih meningokoknih polisaharida kao i za analizu složenih matriksa i klasifikacijsku primjenu, kako u farmaceutskoj tako i u biotehnološkoj industriji.
Abstract (english)
The aim of this study was to investigate the possibility of applying new methods of vibrational spectroscopy - near infrared spectroscopy (NIR) and Raman spectroscopy, to identify purified meningococcal polysaccharides serogroups (PMPS) A and C. By the use of chemometrics NIR and Raman SIMCA and PLS-DA models were formed. Optimized and validated models have 100 % efficiency in classifying unknown samples of PMPS A and C. Both NIR models, which were formed based on PMPS A and C production series spectral data, effectively confirmed the identity of polysaccharide standards A and C. 100 % efficient authentication models for PMPS A and PMPS C, separately, have been obtained by using NIR and Raman with the SIMCA single-class modeling approach. Application of NIR and Raman models for identification of PMPS A and C is an excellent alternative to the reference double immunodiffusion - Ouchterlony method in use. Qualitative research approach and the results of this work can be implemented in the development of new NIR and Raman models for the identification of other meningococcal polysaccharides as well as for the analysis of complex matrices and classification application, both in the pharmaceutical and biotechnology industries.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:837313
Promotion2021
Study programmeTitle: Postgraduate PhD Study in Nutrition
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje biotehničkih znanosti, polje nutricionizam (doktor/doktorica znanosti, područje biotehničkih znanosti, polje nutricionizam)
Type of resourceText
Extent232 str. : 30 cm
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) icon
Created on2021-11-22 14:03:58