Razvoj kemometrijskih modela za predikciju udjela patvorina, ukupnih polifenola i antioksidacijske aktivnosti meda na temelju UV-VIS spektara

master's thesis

• Title (english): Development of the chemometric model for prediction of shares ductus, total polyphenols and antioxidants honey activities based on UV VIS spectra
• Author: Franjo Grbeš
• Mentor: Ana Jurinjak Tušek (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: 2019-07-23, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Food Technology

Abstract

Cilj ovog rada bio je razviti kemometrijske modele (modele parcijalne linearne regresije i umjetne neuronske mreže) za opis i predikciju udjela patvorine (glukozni i kukuruzni sirup) te koncentracije ukupnih polifenola i antioksidacijske aktivnosti meda na temelju UV-VIS spektra. U tu svrhu pripremljene su patvorine 15 uzoraka meda bagrema s glukoznim i kukuruznim sirupom u udjelu od 10 – 90 % te su im snimani UV-VIS spektri u rasponu valnih duljina λ = 325 – 900 nm i izmjerene koncentracije ukupnih polifenola i određena antioksidacijska aktivnost DPPH i FRAP metodom. Rezultati pokazuju da analiza glavnih komponenata UV-VIS spektra razdvaja patvorene uzorke meda na dvije velike skupine te da PLS modeli i modeli ANN pokazuju izvrsne predikcije udjela patvorina na temelju UV-VIS spektara s minimalnim pogreškama (R2 > 0,90). U analiziranim uzorcima meda izmjerene su koncentracije ukupnih polifenola u rasponu od 13,80 do 108,40 mgGAE kg-1 te je uočeno da dodatak kukuruznog sirupa uzrokuje porast udjela polifenola, dok dodatak glukoznog sirupa ima za posljedicu smanjenja udjela ukupnih polifenola u pripremljenim patvorinama meda.

Abstract (english)

Aim of this article was to develop chemometric models (Partial linear regression models and Artificial neural networks) for description and prediction of adulteration ratio (glucose and corn syrup), total polyphenols content and antioxidant activity of honey samples based on UV-VIS spectra. For that purpose adulterated 15 acacia honey samples with glucose and corn syrup were prepared with adulteration ratio from 10 to 90 % and for those samples UV-VIS spectra in the wave length range λ = 325 – 900 nm were measured as well total polyphenols content and antioxidant activity with DPPH and FRAP methods. The results show that Principal component analysis (PCA) divided adulterated honey samples in two major groups and PLS as well ANN models showed excellent prediction capability of adulteration ratio based on UV-VIS spectra with minimal errors (R2 > 0.90). In analyzed honey samples total polypheynols concentrations were from 13.80 to 108.40 mgGAE kg-1 and it was noticed that addition of corn syrup resulted in increase of total polyphenols while addition of glucose syrup resulted in decrease of total polyphenols in adulterated honey samples.

• Keywords: bagremov med; patvorenje; ukupni fenoli; antioksidacijska aktivnost; kemometrijski modeli
• Keywords (english): acacia honey; adulteration; total phenols; antioxidant activity; chemometrics
• Language: croatian
• URN:NBN: urn:nbn:hr:159:358107
• Study programme: Title: Food Safety Management; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka upravljanja sigurnošću hrane (magistar/magistra inženjer/inženjerka upravljanja sigurnošću hrane)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-12-05 12:02:32