2019
DOI: 10.1111/jfpe.13087
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Intelligent modeling and detailed analysis of drying, hydration, thermal, and spectral characteristics for convective drying of chicken breast slices

Abstract: Chicken breast slices were convectively dried at three different temperatures (60, 70, and 80 C). Drying characteristics were analyzed and the predictive capabilities of artificial neural network (ANN) and semiempirical models were exploited. Low complexity ANN model with 10 hidden layer neurons was developed which provided improved results over eight tested semiempirical models. Influence of drying temperature on water activity, rehydration, shrinkage, color, thermal, and spectroscopic properties of the dri… Show more

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Cited by 33 publications
(17 citation statements)
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“…Major peaks were identified at υ = 3263, 2900, 1743 cm −1 , 1500–1700 cm −1 , 1415, 1254 cm −1 and 900–1100 cm −1 . Peaks in the υ range of 3000–3500 cm −1 correspond to OH stretching, which could be due to H‐bonded OH groups or phenolic compounds 22 . As the peaks in this range are not too broad for samples without pretreatment, carboxylic acids can be ruled out.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Major peaks were identified at υ = 3263, 2900, 1743 cm −1 , 1500–1700 cm −1 , 1415, 1254 cm −1 and 900–1100 cm −1 . Peaks in the υ range of 3000–3500 cm −1 correspond to OH stretching, which could be due to H‐bonded OH groups or phenolic compounds 22 . As the peaks in this range are not too broad for samples without pretreatment, carboxylic acids can be ruled out.…”
Section: Resultsmentioning
confidence: 99%
“…The color characteristics of the dried samples were estimated in Commission Internationale de I'Eclairage (CIE) color space using a handheld digital colorimeter (Konika Minolta Chroma‐400, Japan) as per the protocol defined by Kumar et al 22 . The equipment was calibrated before measurement.…”
Section: Methodsmentioning
confidence: 99%
“…The values of D eff were also found to decrease as the drying temperature levels were decreased. This could be due to the fact that when samples were dried at higher temperatures, increased heating energy would increase the activity of water molecules leading to higher moisture diffusivity (Kumar et al., 2019a). Higher drying temperatures during drying have also shown to increase the moisture diffusivity in rosemary leaves (Mghazli et al., 2017) and Monukka seedless grapes (Xiao et al., 2010).…”
Section: Resultsmentioning
confidence: 99%
“…It describes the relationship between the temperature of heating medium and effective moisture diffusivity of C. roseus leaves. The activation energy required for the removal of moisture from the leaves was calculated by employing Equations 8 and 9 (Kumar et al., 2019a; Zhao et al., 2019). D=DoexpEaR(T+273.15)false(for tray dryingfalse)D=DoexpEaMPfalse(for microwave dryingfalse)…”
Section: Methodsmentioning
confidence: 99%
“…From Fu et al (2015), κ = 2.38 × 10 −2 + 7.12 × 10 −4 T f ( C) W/m/K and ν = 1.34 × 10 −5 + 8.78 × 10 −8 T f ( C) (Braun, Bansal, & Groll, 2002;D. Kumar, Tarafdar, Kumar, & Badgujar, 2019).…”
Section: Convective Heat and Mass Transfermentioning
confidence: 99%