Food Engineering / Gıda Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/12

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  • Article
    Citation - WoS: 57
    Citation - Scopus: 69
    Prediction of the Weight of Alaskan Pollock Using Image Analysis
    (John Wiley and Sons Inc., 2010) Balaban, Murat Ömer; Chombeau, Melanie; Cırban, Dilşat; Gümüş, Bahar
    Determining the size and quality attributes of fish by machine vision is gaining acceptance and increasing use in the seafood industry. Objectivity, speed, and record keeping are advantages in using this method. The objective of this work was to develop the mathematical correlations to predict the weight of whole Alaskan Pollock (Theragra chalcogramma) based on its view area from a camera. One hundred and sixty whole Pollock were obtained fresh, within 2 d after catch from a Kodiak, Alaska, processing plant. The fish were first weighed, then placed in a light box equipped with a Nikon D200 digital camera. A reference square of known surface area was placed by the fish. The obtained image was analyzed to calculate the view area of each fish. The following equations were used to fit the view area (X) compared with weight (Y) data: linear, power, and 2nd-order polynomial. The power fit (Y = A·XB) gave the highest R2 for the fit (0.99). The effect of fins and tail on the accuracy of the weight prediction using view area were evaluated. Removing fins and tails did not improve prediction accuracy. Machine vision can accurately predict the weight of whole Pollock. © 2010 Institute of Food Technologists®.
  • Article
    Citation - WoS: 17
    Citation - Scopus: 20
    Composition, Color and Mechanical Characteristics of Pretreated Candied Chestnuts
    (Taylor and Francis Ltd., 2006) Korel, Figen; Balaban, Murat Ömer
    Raw-peeled chestnuts were treated with citric acid or sodium metabisulphite, steamed, and dipped into sugar solutions containing dextrose and sucrose, or dextrose and fructose. Composition, mineral content, weight change, rheological properties, and color were measured at each step. Carbohydrate content increased during processing. Candied chestnuts were low in protein (1.31-1.35%) and lipids (0.29-0.78%) but high in carbohydrates (73.48-76.13%). Their mineral concentrations were: Ca 19.08-46.70, Cu 0.19-0.52, Fe 0.88-1.98, K 180.5-659.1, Mg 26.83-69.57, Mn 0.70-2.42, Zn 1.51-6.95 mg/100 g sample. Rheological properties were affected by processing steps. Dipping into sugar solutions did not affect rheological properties. Color changes were quantified, and average L*, a*, and b*values measured.