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1000 Titel
  • Optimizing Physiochemical and Sensory Properties of Infrared-Hot Air Roasted Sunflower Kernels Using Response Surface Methodology
1000 Autor/in
  1. Mosayebi, Mahdis |
  2. Kashaninejad, Mahdi |
  3. Najafian, Leila |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-09-12
1000 Erschienen in
1000 Quellenangabe
  • 2018:4186050
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1155/2018/4186050 |
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1000 Sprache der Publikation
1000 Abstract/Summary
  • Roasting sunflower kernels is a key process in production of nuts. In this study, the effect of roasting conditions, including hot air temperature (120–160°C), infrared (IR) power (400–600 W) and roasting time (3–10 min) on energy and specific energy consumption, color parameters (L*, a*, b*, E, BI, SI, WI, and h°), texture, moisture content, chemical properties (pH and total phenolic contents, peroxide value (PV), and sensory properties of sunflower kernel were investigated. In addition, the best models for the responses were obtained, and the proper roasting conditions were determined using response surface methodology (RSM). A quadratic model was proposed for color change (L*, E, SI, and WI), moisture and total phenol contents, linear relation for a*, b*, h°, and 2FI for BI, texture, PV, and pH. Roasting at 425.7 W IR power and 124.3°C for 3.7 min was found to be convenient or proper roasting conditions.
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  1. https://frl.publisso.de/adhoc/uri/TW9zYXllYmksIE1haGRpcw==|https://orcid.org/0000-0002-1299-1898|https://frl.publisso.de/adhoc/uri/TmFqYWZpYW4sIExlaWxh
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