Drying characteristics of maize grain in solar bubble dryer

Asemu, Aynadis M.; Habtu, Nigus Gabbiye; Delele, Mulugeta Admasu; Bhadriraju, Subramanyam; Alavi, Sajid

doi:10.1111/jfpe.13312

Cited by 30 publications

(23 citation statements)

References 51 publications

(63 reference statements)

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“…(Batista, da Rosa, & Pinto, 2007;Kumar et al, 2015;Pinto & Tobinaga, 2006). On the other hand, thin layer models can adequately describe drying kinetics in holistic way and be used as fitting tools (Asemu, Habtu, Delele, Subramanyam, & Alavi, 2020;Patil & Gawande, 2018;Saraceno et al, 2012). They are based on two primary assumptions: moisture removal is proportional to the difference of water content between drying air and the sample; and temperature distribution in the sample is uniform.…”

Section: Experimental Drying Behaviorsmentioning

confidence: 99%

Heat and mass transport analysis of the drying of freshwater fishes by a forced convective air‐dryer

Khan

Moradipour

Obeidullah

et al. 2020

J Food Process Engineering

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The drying behavior of different freshwater fishes (with/without scales) is investigated using a simple convective heated air dryer. Drying processes are analyzed to study the kinetics of drying, shrinkage dependent variable effective diffusivity, convective heat and mass transport, and the energy aspect of drying. Among the drying kinetic models, Hasibuan–Daud and Haghi–Angiz‐I models produce the best fit for fishes with scales and Hii model produces the best fit for fish without scales. Diffusion analysis performed based on simplified solution of Fick's diffusion equation shows higher effective diffusivity for fish without scales, proving additional barrier from scales (for fish with scales) that need to be considered during dryer design. Calculated instantaneous heat and mass transfer coefficients (different for fish with or without scales) also agree with this observation, accentuating the difference based on scales. Drying process for all fishes obeys the heat‐mass transfer correlation. Estimated parameters such as effective diffusivity (0.2–1 × 10−9 m2/s) and convective heat and mass transfer coefficients (7–14 W/m2/K and 2.8–4.5 × 10−6 m/s, respectively) can be utilized in designing different fish drying systems. Average and instantaneous total energy consumption, specific moisture extraction ratio, and specific energy consumption are evaluated in order to provide a comprehensive picture of the drying process.Practical ApplicationsFresh‐ and salt‐water fishes account for major sources of protein‐rich food for substantial parts of the population in underdeveloped and developing nations. To circumvent the wastage associated with microbial contaminations during prolific seasons, fish drying has been widely employed as a way of preserving this perishable food. Convective drying of agricultural products as well as marine foods is a commonly employed drying method for food preservation. This study investigates the drying behavior of three different freshwater fishes using an in‐house constructed forced convective air dryer. The experimental drying characteristics and estimated parameters by model fitting during fish drying will be particularly applicable in the wide field of fish drying. The outcome of this study can also be utilized for more effectively designing and evaluating low‐cost convective fish dryers.

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Section: Experimental Drying Behaviorsmentioning

confidence: 99%

Heat and mass transport analysis of the drying of freshwater fishes by a forced convective air‐dryer

Khan

Moradipour

Obeidullah

et al. 2020

J Food Process Engineering

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“…The activation energy of the sample was found to be 2,938.46 kJ/kg and the drying rate of the samples was increased with an increase in air temperature and mass flow rate. Asemu, Habtu, Delele, Subramanyam, and Alavi (2020) dried two different types of maize (BH‐540 & 660) at temperature varied from 30°C to 90°C in the solar bubble dryer. It was observed that the initial and final moisture content of drying maize was varied from 0.28 kg to 0.41 kg water per kg dry product and 0.11 to 0.18 kg water per kg dry product, respectively.…”

Section: Introductionmentioning

confidence: 99%

Effects of pretreatments on quality attributes, moisture diffusivity, and activation energy of solar dried ivy gourd

Elangovan

Natarajan

2021

J Food Process Engineering

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Effect of pretreatments and drying method on the ivy gourd and their drying characteristics such as rate of drying, moisture diffusivity and activation energy are studied. The ivy gourd samples are pretreated with four pretreatments such as ascorbic acid, lemon juice, sugar solution, honey dip, and control for 10 min. Pretreated and control (untreated) ivy gourd slices are dried in a single slope solar dryer. The solar dryer temperature is found to be in the range of 35-72 C at air velocity of 1 m/s. The effective moisture diffusivity of the dried ivy gourd samples is found to be best in ascorbic acid (7.90 × 10 −8 m 2 /s) followed by control samples (5.07 × 10 −9 m 2 /s), lemon juice samples (6.92 × 10 −9 m 2 /s), honey dip samples (3.05 × 10 −10 m 2 /s), and sugar solution samples (3.37 × 10 −10 m 2 /s). The activation energy of the dried ivy gourd is found as lowest in ascorbic acid (21.23 kJ/mol) followed by control samples (24.81 kJ/mol), lemon juice samples (26.06 kJ/mol), sugar solution samples (27.05 kJ/mol), and honey dip (27.79 kJ/mol) samples. The sensory analysis for the dried samples is performed in terms of taste, color and it is observed that honey treated sample given promising results followed by sugar solution, ascorbic acid, lemon juice, and control samples. Practical application Drying is a widely practicing technology in the postharvest food processing for their longer preservation. Most of the developing countries are facing huge loss in the vegetable postharvesting due to open drying methods. This is mainly due to the nonavailability of efficient solar drying facilities. This study proposed the most efficient solar drying method suitable for developing countries. Besides, quality of four different pretreatment ivy gourds is dried in a natural and forced convective single slope direct solar dryer and also dried in an open sun drying method. The effects of pretreatments on the moisture loss are analyzed and presented here. Based on the results, it is confirmed that, the pretreatments are the effective method for removing the moisture content of the food substances for longer period of preservation. 1 | INTRODUCTION Ivy gourd (Coccinia grandis) is a tropical plant from the pumpkin family and it is grown in several regions of south India. Ivy gourd is cost effective and it is widely available throughout the year. Its gives high yield from October-December (Rainy seasons). Ivy gourd is rich in β-carotene, which is a significant vitamin A precursor (Sinchaipanit,

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“…1. Dataset gathered from previously experimental published papers in literature [17,44,[52][53][54][55][56][57][58][59][44][45][46][47][48][49][50][51] are presented in table 1. The experimental CMC values of 211 diverse dibromides/di-chlorides Gemini surfactants were obtained by conductometer at as close as possible to room temperature (i.e.…”

Section: Qspr Calculation and Filtering Methodologymentioning

confidence: 99%

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Laidi

Abdallah

Si‐Moussa

et al. 2021

CI&CEQ

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As quantitative structure-property relationship (QSPR) technique provides a suitable tool to predict the critical micelle concentration (CMC) of Gemini surfactants from their structure descriptors. In this study, a comparative work was conducted to model the CMC property of 211 diverse Gemini surfactants based on their structural characteristics using linear and non-linear quantitative structure-property relationship models. Least squares model (OLS) and partial least squares (PLS) against k-nearest neighbours regression model (KNN), artificial neural network (ANN) and support vector regression (SVR) have been developed to model the CMC. Molecular descriptors were calculated and screened to remove unsuitable descriptors and improve the learning. Results indicate that the improved performance of support vector regression when the hyper-parameters are optimized using Dragonfly algorithm (SVR-DA) was highly capable of predicting the pCMC (-logCMC) values with an average absolute relative deviation (AARD) of 0.666 and coefficient of determination (R?) of 0.9971 for the global dataset.

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Drying characteristics of maize grain in solar bubble dryer

Cited by 30 publications

References 51 publications

Heat and mass transport analysis of the drying of freshwater fishes by a forced convective air‐dryer

Heat and mass transport analysis of the drying of freshwater fishes by a forced convective air‐dryer

Effects of pretreatments on quality attributes, moisture diffusivity, and activation energy of solar dried ivy gourd

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

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