Moisture sorption isotherms and isosteric heat of sorption of leaves and stems of lemon balm (Melissa officinalis L.) established by dynamic vapor sorption

Argyropoulos, Dimitrios; Alex, Rainer; Kohler, Robert Ε.; Müller, Joachim

doi:10.1016/j.lwt.2012.01.026

Cited by 68 publications

(43 citation statements)

References 55 publications

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“…Moreover, at constant temperature, the EMC increases as water activity increases. This is consistent with similar results that have been reported in the related literature for other products (Argyropoulos et al, 2012;Arslan and Togrul, 2006;Bahloul et al, 2008;Basunia and Abe, 2011;Nourhène et al, 2008;.…”

Section: Sorption Isothermssupporting

confidence: 93%

“…The sorption isotherm obtained presents a sigmoidal shaped curve, thus reflecting a Type II isotherm (according to Brunauer's classification) (Brunauer et al, 1940). The behaviour observed was typical of plant products and similar results have been obtained with other leaves such as tea leaves (Arslan & Togrul, 2006;Sinija & Mishra, 2007), olive leaves (Bahloul et al, 2008), orange leaves and lemon balm leaves (Argyropoulos et al, 2012).…”

Section: Sorption Isothermssupporting

confidence: 77%

“…Literature reported experimental EMC for bitter orange leaves , chenopodium ambrosioides , citrus reticulate leaves (Jamali et al, 2005), garden mint leaves (Park et al, 2001), green tea in powder and granules (Arslan & Togrul, 2006;Sinija & Mishra, 2007), leaves and stems of lemon balm (Argyropoulos et al, 2012), mate leaves (Zanoelo, 2005), olive leaves and Tunisian olive leaves (Bahloul et al, 2008;Nourhène et al, 2008) and orange peel and leaves (Citrus sinensis) (Kammoun et al, 2012). The numerous studies carried out evidence the importance of the characterization of EMC for predicting the stability and shelf-life of agricultural products.…”

Section: Introductionmentioning

confidence: 99%

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Moisture sorption isotherms and isosteric heat of sorption of dry persimmon leaves

et al. 2014

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Martínez Las Heras, R.; Heredia Gutiérrez, AB.; Castelló Gómez, ML.; Andrés Grau, AM. (2014). Moisture sorption isotherms and isosteric heat of sorption of dry persimmon leaves. Food Bioscience. 7:88-94. http://hdl.handle.net/10251/64444. BET, GAB and Caurie. The Halsey, Smith, GAB and BET models were found to be the most suitable for describing the sorption curves. The isosteric heat of sorption of water was determined from the equilibrium data at different temperatures. It decreased as moisture content increased and was found to be a polynomial function of moisture content. MOISTURE SORPTION ISOTHERMS AND ISOSTERIC HEAT OF SORPTION OF DRY PERSIMMON LEAVES Martínez

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Section: Sorption Isothermssupporting

confidence: 93%

Section: Sorption Isothermssupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

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Moisture sorption isotherms and isosteric heat of sorption of dry persimmon leaves

et al. 2014

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“…Sorption balances have existed for a very long time (McBain and Bakr 1926;Gregg and Wintle 1946;Gregg 1955;Gleeson 1962;Tamburini 1970) however now, there are reliable models available from numerous suppliers (Keller and Robens 2003). They are especially and commonly used in various scientific fields: pharmaceuticals, the food industry or the study of materials (Cazacu et al 2009;Lyn et al 2010;Ayadi and Dole 2011;Maeda et al 2011;Wicklein et al 2011;Argyropoulos et al 2012;Carter and Schmidt 2012;Pei and Zhang 2012;Volkova et al 2012;Zhang et al 2012;Besbes et al 2013;Jung et al 2014;Pons et al 2015;Mette et al 2014;Guicheret-Retel et al 2015;Otoni et al 2016). In these areas it has been proven that the use of sorption balance is able to obtain similar results to other common techniques (Johannesson and Janz 2002;Arlabosse et al 2003;Fei et al 2006).…”

Section: Introductionmentioning

confidence: 99%

The Use of Sorption Balance for the Characterization of the Water Retention Curve of Cement-Based Materials

Poyet

Trentin

Amblard

2016

ACT

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Among the necessary data in the description of the transport of water, the retention curve is a vital piece of information whose characterization can turn out to be long and fastidious. Within this framework, sorption balance is being put to use more and more often in laboratories. These experimental devices enable a faster onset for water balance using small amounts of substances previously reduced to powder. This approach proves to be particularly adapted to homogenous materials (cement pastes generally) but not to concrete because of the presence of aggregate. This article, first of all, clarifies in a summarized manner the working of sorption balance based on the results obtained with cement pastes. Secondly, a simplified method is proposed to test concrete.

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“…In another study, the mass gain due to water vapour adsorption was recorded by placing a balance in the climatic chamber (Stubberud et al, 1995). Instruments using controlled atmosphere microbalances, such as a Dynamic Vapour Sorption apparatus (DVS) have been tested for the automated moisture sorption analysis of pre-dried samples at any desired relative humidity and selected temperature in a comparably short period of time (Argyropoulos et al, 2012;Hill et al, 2010;Kachrimanis et al, 2006;Rocha et al, 2007;Ziegleder et al, 2004). Arlabosse et al (2003) published a comparative study between static and dynamic sorption methods and found that thermodynamic equilibrium was dependent on internal diffusion.…”

Section: Introductionmentioning

confidence: 99%

NARX Neural Network Modelling of Mushroom Dynamic Vapour Sorption Kinetics

et al. 2016

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This paper is concerned with the study, optimization and control of the moisture sorption kinetics of agricultural products at temperatures typically found in processing and storage. A nonlinear autoregressive with exogenous inputs (NARX) neural network was developed to predict moisture sorption kinetics and consequently equilibrium moisture contents of shiitake mushrooms (Lentinula edodes (Berk.) Pegler) over a wide range of relative humidity and different temperatures. Sorption kinetic data of mushroom caps was separately generated using a continuous, gravimetric dynamic vapour sorption analyser at temperatures of 25-40 °C over a stepwise variation of relative humidity ranging from 0 to 85%. The predictive power of the neural network was based on physical data, namely relative humidity and temperature. The model was fed with a total of 4500 data points by dividing them into three subsets, namely, 70% of the data was used for training, 15% of the data for testing and 15% of the data for validation, randomly selected from the whole dataset. The NARX neural network was capable of precisely simulating equilibrium moisture contents of mushrooms derived from the dynamic vapour sorption kinetic data throughout the entire range of relative humidity.

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Moisture sorption isotherms and isosteric heat of sorption of leaves and stems of lemon balm (Melissa officinalis L.) established by dynamic vapor sorption

Cited by 68 publications

References 55 publications

Moisture sorption isotherms and isosteric heat of sorption of dry persimmon leaves

Moisture sorption isotherms and isosteric heat of sorption of dry persimmon leaves

The Use of Sorption Balance for the Characterization of the Water Retention Curve of Cement-Based Materials

NARX Neural Network Modelling of Mushroom Dynamic Vapour Sorption Kinetics

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