2001
DOI: 10.17660/actahortic.2001.566.40
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Modelling of the Thermal Kinetics of Colour Change in Hazelnuts During Roasting

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Cited by 3 publications
(4 citation statements)
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“…The surface colour change in hazelnuts, which were roasted at the same process conditions with low air velocities, was homogenous. There was no significant darkening on the contact surfaces of hazelnuts with the tray (Demir et al. , 2001).…”
Section: Analysis Of Variability In Texturementioning
confidence: 98%
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“…The surface colour change in hazelnuts, which were roasted at the same process conditions with low air velocities, was homogenous. There was no significant darkening on the contact surfaces of hazelnuts with the tray (Demir et al. , 2001).…”
Section: Analysis Of Variability In Texturementioning
confidence: 98%
“…Sun‐dried raw hazelnuts with skin, of the ‘Tombul variety’ from Turkey, were supplied. The skins of the hazelnuts were removed by applying hot (100 °C) glycerine‐sodium carbonate solution (for a period of less than 20 s) before roasting (Demir et al. , 2001, 2002).…”
Section: Physical Thermal and Compositional Propertiesmentioning
confidence: 99%
“…Mathematical modeling of the roasting process can provide the information of the roasting temperature and time required for the superior end product characteristics (Bagheri & Kashaninejad, 2018; Demir, Frías, Abodayeh, Cronin, & Oliveira, 2001). Several kinetic modeling studies for the roasting process have been reported earlier in literature for various grains, nuts, and other food material.…”
Section: Introductionmentioning
confidence: 99%
“…Zero and first‐order reaction kinetics were applied for a certain range of roasting temperature and time to evaluate the effect on product quality. The mathematical models were developed in the roasting process to control and predicting the quality indicator using the texture and color of cereals, oilseeds, nuts, and grains such as maize (Chung et al., 2014), peanut (Bagheri et al., 2019; Shi et al., 2017), sesame (Kahyaoglu & Kaya, 2006), coffee (Mendes, De Menezes, Aparecida, & Da Silva, 2001; Somporn, Kamtuo, Theerakulpisut, & Siriamornpun, 2011), sorghum (Sharanagat et al., 2019), cocoa (Sacchetti et al., 2016), wheat (Murthy et al., 2008), almond (Nizamlioglu & Nas, 2016), and hazelnut (Demir et al., 2001; Özdemir & Devres, 2000).…”
Section: Introductionmentioning
confidence: 99%