Primjena blisko-infracrvene spektroskopije u detekciji akrilamida u hrani

master's thesis

• Title (english): Application of near-infrared spectroscopy in detection of acrylamide in food
• Author: Mateja Pavlinić
• Mentor: Jasenka Gajdoš Kljusurić (mentor)
• Granter: University of Zagreb; Faculty of Food Technology and Biotechnology; (Department of Process Engineering); (Laboratory for Measurement, Regulation and Automatisation); Zagreb
• Defense date and country: 2018-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Nutrition

Abstract

Cilj ovog rada bio je utvrditi primjenjivost blisko-infracrvene spektroskopije (tzv. NIRS) za predikciju udjela akrilamida u prehrambenim proizvodima. Za izradu predikcijskih modela korišteni su blisko-infracrveni (NIR) spektri (904 - 1699 nm) uzoraka proizvoda na bazi krumpira, riže, kukuruza i kave (n=24). Udio akrilamida u uzorcima (120 - 971 μg/kg) određen je UPLC-MS/MS metodom. U kvalitativnim modelima korištena je analiza glavnih komponenata (PCA). Za razvoj kvantitativnih modela korištena je parcijalna linearna regresija metodom najmanjih kvadrata (PLS regresija). Kvalitativni modeli pokazali su uspješno razdvajanje analiziranih uzoraka, ovisno o osnovnoj sirovini, a pri tom su korišteni nepretprocesirani NIR spektri. Kod kvantitativnih modela, od njih 15 razvijenih, 5 ih je ocjenjeno prigodnima za korištenje u probiru uzoraka s obzirom na udio akrilamida (RPD ≥ 2.4). Najbolji razvijeni PLS model imao je R2pred = 0.86, SEP = 255 μg/kg i RPD = 3. Rezultati rada ukazuju na to da bi se NIRS metoda mogla primijeniti u svrhu uspješnog probira uzoraka s obzirom na udio akrilamida.

Abstract (english)

The aim of this thesis was to investigate the applicability of near-infrared spectroscopy (NIRS) in prediction of acrylamide content in food. Near-infrared (NIR) spectra (904 - 1699 nm) of samples of products based on potato, rice, corn and coffee (n=24) were used to develop prediction models. Acrylamide content in the samples (120 -971 μg/kg) was determined by UPLC-MS/MS method. For qualitative model development, principal components analysis (PCA) was used. Quantitative models were developed using partial least squares regression (PLS regression).Qualitative models developed using unpreprocessed NIR spectra showed successful separation of samples based on the main raw material. Out of 15 developed quantitative models, 5 of them (RPD ≥ 2.4) were evaluated as appropriate for use in screening of products based on acrylamide content. The best developed model had R2pred = 0.86, SEP = 255 μg/kg and RPD = 3. The results indicate that NIRS may be used for successful screening of products for acrylamide content.

• Keywords: akrilamid; NIRS; modeliranje; PCA; PLSR
• Keywords (english): acrylamide; NIRS; modeling; PCA; PLSR
• Language: croatian
• URN:NBN: urn:nbn:hr:159:798166
• Study programme: Title: Nutrition; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra nutricionizma (magistar/magistra nutricionizma)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-11-14 14:10:54