Equilibrium Moisture Content and Heat of Sorption of Longan (<i>Dimocarpus longan</i>Lour.)

Janjai, Serm; Bala, B. K.; Tohsing, K.; Mahayothee, Busarakorn; Haewsungcharern, Methinee; Mühlbauer, Werner; Müller, Joachim

doi:10.1080/07373930601031661

Cited by 37 publications

(37 citation statements)

References 11 publications

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“…7 shows the graphical relationship between the equilibrium moisture content (EMC db ,%) and the equilibrium relative humidity (ERH, %) of the encapsulated gac oil powder samples stored at the three different temperatures, which all showed sigmoid shapes and similar trends. These curves are extremely useful for predicting the shelf life of a product in terms of its physical, biochemical and microbial stability when determining packaging and storage conditions (Janjai et al, 2006;Yan et al, 2008). Generally, the EMC values at a constant temperature increased as the ERH increased.…”

Section: Effect Of Humidity Conditionsmentioning

confidence: 98%

A storage study of encapsulated gac ( Momordica cochinchinensis ) oil powder and its fortification into foods

Kha

Nguyen

Roach

et al. 2015

Food and Bioproducts Processing

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Section: Effect Of Humidity Conditionsmentioning

confidence: 98%

A storage study of encapsulated gac ( Momordica cochinchinensis ) oil powder and its fortification into foods

Kha

Nguyen

Roach

et al. 2015

Food and Bioproducts Processing

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“…The net isosteric heat of sorption can be determined from moisture sorption data using the following equation which is derived from Clausius-Clapeyron relation (equation 6) (Ait Mohamed et al 2005, Janjai et al 2006. (6) Where aw is the water activity, Qst the net isosteric heat of sorption (kJ/mol), R the universal gas constant (kJ/mol K) and T is absolute temperature (K).…”

Section: Determination Of the Isosteric Heatmentioning

confidence: 99%

Moisture sorption isotherms and heat of sorption of Algerian bay leaves (Laurus nobilis)

Ouafi

Moghrani

Benaouada³

et al. 2015

Maderas, Cienc. tecnol.

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The moisture sorption isotherms of Algerian bay leaves (Laurus nobilis) were determined experimentally in this work. The equilibrium moisture contents of the leaves were measured at 40, 50, and 60 °C using static gravimetric method. Six mathematical models were tested to fit the experimental data of sorption isotherms and predict the hygroscopic behavior during storage or drying. Peleg model was found to be the best fitting model for describing the sorption curves. The net isosteric heat of sorption was computed from the equilibrium data at different temperatures by applying the integrated form of the Clausius-Clapeyron equation.The net isosteric heat of sorption is inversely proportional to the equilibrium moisture content and is found to be an exponential function of moisture content.

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“…This relationship showed that maize heat of sorption increased following a power relationship; it provided a better result compared with exponential relation previously developed by Janjai et al (2006) for Longan. The maximum values of heat of sorption for some agricultural products compared with maize are represented in Table 5.…”

Section: Resultsmentioning

confidence: 90%

“…They applied six mathematical models of sorption to fit experimental data. Results showed that the Henderson model was the best for prediction of maize sorption isotherm.Many studies were reported to suggest numerous sorption isotherm models for food and agricultural materials (Kaymak-Ertekin, Gedik 2004;Lahsasni et al 2004;Reddy, Chakraverty 2004;Janjai et al 2006;Phomkong et al 2006). The GAB (Guggenheim, Anderson and de Boer) model commonly presented the best results.…”

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confidence: 99%

Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method

Chayjan¹,

Esna-Ashari²

2010

Res. Agric. Eng.

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Chayjan R.A., Esna-Ashari M., 2010. Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method. Res. Agr. Eng., 56: 69-76.Equilibrium moisture content of maize affects its values of dehydration heat and entropy. Precise prediction of heat and entropy with regard to its equilibrium moisture content is a simple and fast method for proper estimation of energy required for dehydration of maize and simulation of dried maize storage. Artificial neural network and thermodynamic equations for computation of maize heat and entropy of sorption were used, as a new method. The artificial neural network method for prediction of the equilibrium moisture content of maize was utilized. The heat of sorption of maize is predicted by a power model. After well training of equilibrium moisture content data sets using the artificial neural network models, predictive power of the model was found to be high (R 2 = 0.99). A power regression model was also developed for entropy of sorption. At moisture content above 11% (d.b.) the heat and entropy of sorption of maize decreased smoothly and they were highest at moisture content about 8% (d.b.).Keywords: maize; back propagation; entropy; isosteric heat; sorption isothermRes. Agr. Eng. Vol. 56, 2010, No. 2: 69-76 Moisture content and temperature of maize seed affect its storage life. Increasing these factors causes an increase in maize seed respiration and enzymes production. This phenomenon tends to decrease food storage of seed and germination (Copeland, McDonald 1995).Equilibrium moisture content (EMC) of food and agricultural products is a durability criterion and any change in the quality during drying, storage and packaging is crucial and important (Veltchev, Menkov 2000). Fundamental relationship between air temperature, air relative humidity and EMC of food and agricultural products is known as sorption isotherms. Adsorption and desorption characteristics of food and agricultural products are used for designing, modeling and optimizing some postharvest processes such as drying, aeration and storage (Labuza 1975;Bala 1997).Drying time and energy consumption of drying process with regard to final moisture content are important indices for selection of a dryer or type of drying process. Safe storage and packaging as well as keeping the quality of harvested maize, considering its high moisture content at harvesting time, is very important. Maize EMC, that is defined as its moisture content in equilibrium with particular environmental conditions (air temperature and air relative humidity) is a vital parameter in studying the drying and storage processes. Studies showed that if the two environmental factors were not con- 70Vol. 56, 2010, No. 2: 69-76 Res. Agr. Eng.trolled, the mold activities increased. (Brooker et al. 1992). Chen and Morey (1989) studied the sorption isotherm curves of yellow dent maize at the air temperature boundary of 5°C to 45°C. Their results showed that sorption isotherm curves are different for maize cultivars; also air relati...

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Equilibrium Moisture Content and Heat of Sorption of Longan (Dimocarpus longanLour.)

Cited by 37 publications

References 11 publications

A storage study of encapsulated gac ( Momordica cochinchinensis ) oil powder and its fortification into foods

A storage study of encapsulated gac ( Momordica cochinchinensis ) oil powder and its fortification into foods

Moisture sorption isotherms and heat of sorption of Algerian bay leaves (Laurus nobilis)

Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method

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