Banu Ozen

Prof. Banu Ozen

Department of Food Engineering, Izmir Institute of Technology, Urla-Izmir, Turkey
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2009 in Food Chemistry
Verified
Journal Article
Open access
GGGozde Gurdeniz
Gozde Gurdeniz
BOBanu Ozen
Banu Ozen
This study focuses on the detection and quantification of extra-virgin olive oil adulteration with different edible oils using mid-infrared (IR) spectroscopy with chemometrics. Mid-IR spectra were manipulated with wavelet compression previous to principal component analysis (PCA). Detection limit of adulteration was determined as 5% for corn-sunflower binary mixture, cottonseed and rapeseed oils. For quantification of adulteration, mid-IR spectral data were manipulated with orthogonal signal correction (OSC) and wavelet compression before partial least square (PLS) analysis. The results revealed that models predict the adulterants, corn-sunflower binary mixture, cottonseed and rapeseed oils, in olive oil with error limits of 1.04, 1.4 and 1.32, respectively. Furthermore, the data were analysed with a general PCA model and PLS discriminant analysis (PLS-DA) to observe the efficiency of the model to detect adulteration regardless of the type of adulterant oil. In this case, detection limit for adulteration is determined as 10%.EU Marie Curie Reintegration Grant CODA (MIRG-CT-2005-029134

7 June 2002 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
BOBanu Ozen
Banu Ozen
LMLisa J. Mauer
Lisa J. Mauer

1 February 2010 in Journal of Food Engineering
Verified
Journal Article
Open access
FTFunda Tihminlioglu
Funda Tihminlioglu
İAİsa Doğan Atik
İsa Doğan Atik
BOBanu Ozen
Banu Ozen
A novel corn-zein coating structure on polypropylene (PP) films was developed to examine its feasibility as an alternative water vapor and oxygen-barrier for flexible packaging industry. The barrier properties of the resulting films were evaluated as affected by coating formulation (solvent, corn-zein, plasticizer concentration and plasticizer type). Corn-zein with different amounts (5% and 15%) was dissolved in 70% and 95% aqueous ethanol solution at 50 °C, respectively. Solutions of corn-zein plasticized by polyethylene glycol (PEG) and glycerol (GLY) with various levels (20% and 50%) were applied on corona-discharged-treated PP by using solvent-casting method. The significant improvements in water vapor and oxygen-barrier properties of uncoated PP films were obtained with corn-zein coating. Water vapor permeability (WVP) of the coated films decreased significantly with increasing corn-zein concentration. The application of plasticized corn-zein coating on PP films showed nearly more than three order of reduction in oxygen permeability (OP). The high water vapor and oxygen-barriers were obtained for films coated with coating formulation consisting of higher amounts of corn-zein plasticized by GLY. The statistical analysis defined the key parameters of coating formulation that had major effect on the final properties of coated PP films as corn-zein, plasticizer concentration, and plasticizer type. © 2009 Elsevier Ltd. All rights reserved

1 May 2008 in Food Chemistry
Verified
Journal Article
Open access
HVHasan Vardin
Hasan Vardin
ATAbdullatif Tay
Abdullatif Tay
BOBanu Ozen
Banu Ozen
LMLisa Mauer
Lisa Mauer
Fourier transform infrared (FTIR) spectroscopy and chemometric techniques were used to detect the adulteration of pomegranate juice concentrate (PJC) with grape juice concentrate (GJC). The main differences between PJC and GJC infrared spectra occurred in the 1780-1685cm(-1) region, which corresponds to CO stretching. Principal component analysis of the spectra was used to: (1) differentiate pure PJC and GJC samples and (2) classify adulterated (containing 2-14% vol/vol GJC) and pure PJC samples. Two principal components explained 99% of the variability in each of these applications. Partial least square analysis of the spectra resulted in prediction of the GJC adulterant concentration in PJC with a correlation coefficient, R(2), of 0.9751. Partial least square analysis of spectra could also predict % titratable acidity and total solids in PJC with correlation coefficients of 0.9114 and 0.9916, respectively. Therefore, FTIR and chemometrics provide a useful approach for authenticating pomegranate juice concentrate.


1 March 2009 in Food Chemistry
Verified
Journal Article
Open access
DODerya Ocakoglu
Derya Ocakoglu
Figen TokatliFigen Tokatli
Figen Tokatli
BOBanu Ozen
Banu Ozen
FKFigen Korel
Figen Korel
Monovarietal extra virgin olive oils extracted from six dominant and economically important Turkish olive cultivars (memecik, erkence, domat, nizip-yaglik, gemlik, ayvalik) were examined for their simple phenolics, phenolic acids and flavonoid compounds over 2005 and 2006 harvest years. Total phenol contents, oxidative stabilities and chromatic ordinates as colour parameters were also measured. The most typical phenolic compounds that were identified in both years are hydroxytyrosol, tyrosol, vanillic acid, p-coumaric acid, cinnamic acid, luteolin, and apigenin. Multivariate data were analysed by principal component and partial least square-discriminant analyses. It was observed that phenolic profiles of olive oils depended highly on harvest season. In addition, oils of different olive cultivars have different distribution of phenols. No significant correlation was observed between oxidative stability and phenolic compounds. Increase in peroxide value over an accelerated oxidation period of 11 days showed weak correlations with total phenol content, vanillin, syringic acid and colour parameter a*, as 0.56, 0.55, -0.42, and 0.51, respectively, in terms of correlation coefficient r.TÜBİTAK-TOVAG 104O33