scholarly journals Dynamic Changes of Flavonoids Contents in the Different Parts of Rhizome of Belamcanda chinensis During the Thermal Drying Process

Molecules ◽  
2014 ◽  
Vol 19 (7) ◽  
pp. 10440-10454 ◽  
Author(s):  
Yan Zhu ◽  
Bing-Qing Pu ◽  
Guo-Yong Xie ◽  
Mei Tian ◽  
Fang-Yun Xu ◽  
...  
Keyword(s):  
Drying Process ◽  
Dynamic Changes ◽  
Belamcanda Chinensis ◽  
Thermal Drying ◽  
Different Parts

scholarly journals Potential of bio-drying applied to exhausted grape marc

Wine Studies ◽  
2012 ◽  
Vol 2 (1) ◽  
pp. 2 ◽  
Author(s):  
Elena Cristina Rada ◽  
Marco Ragazzi
Keyword(s):  
Water Content ◽  
Energy Content ◽  
Moisture Level ◽  
Drying Process ◽  
Self Heating ◽  
Grape Marc ◽  
Thermal Drying ◽  
Energy Options ◽  
Potential Rate

In the present work, experimentation was carried out to study the behavior of exhausted grape marc during the bio-drying process. This process was chosen as an alternative to the typical grape marc thermal drying approach. The aim was to reduce the moisture level thanks to the biological exothermal reactions, and to increase the energy content in the biodried grape marc. The target was the generation of a product interesting for energy options. For the development of the research, a biological pilot reactor and a respirometric apparatus were used. Results demonstrated that bio-drying can decrease the water content saving the original energy content. The final material could be assumed like a solid recovered fuel, class 5:1:1 with a very low potential rate of microbial self-heating.

scholarly journals Elliot and Symmetric Elliot Extreme Learning Machines for Gaussian Noisy Industrial Thermal Modelling

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 90 ◽  
Author(s):  
Jose Salmeron ◽  
Antonio Ruiz-Celma
Keyword(s):  
Extreme Learning Machine ◽  
Support Vector ◽  
Thermal Processes ◽  
Drying Process ◽  
Machine Model ◽  
Learning Machines ◽  
Nearest Neighbours ◽  
Thermal Drying ◽  
Learning Machine ◽  
Hidden Layer

This research proposes an Elliot-based Extreme Learning Machine approach for industrial thermal processes regression. The main contribution of this paper is to propose an Extreme Learning Machine model with Elliot and Symmetric Elliot activation functions that will look for the fittest number of neurons in the hidden layer. The methodological proposal is tested on an industrial thermal drying process. The thermal drying process is relevant in many industrial processes such as the food industry, biofuels production, detergents and dyes in powder production, pharmaceutical industry, reprography applications, textile industries and others. The methodological proposal of this paper outperforms the following techniques: Linear Regression, k-Nearest Neighbours regression, Regression Trees, Random Forest and Support Vector Regression. In addition, all the experiments have been benchmarked using four error measurements (MAE, MSE, MEADE, R 2 ).

Simulating Consumer-Like Air Drying of Dishes via Thermal Drying Process

2014 ◽  
Vol 51 (5) ◽  
pp. 461-467
Author(s):  
Susanne Gorny ◽  
Jessica Widdig ◽  
Sandra Bichler ◽  
Rainer Stamminger
Keyword(s):  
Drying Process ◽  
Air Drying ◽  
Thermal Drying

scholarly journals The relevance between water release behavior and pore evolution of hard lignite during the thermal-drying process

2019 ◽  
Vol 92 (6) ◽  
pp. 1689-1696 ◽  
Author(s):  
Qiongqiong He ◽  
Xinyuan Li ◽  
Zhenyong Miao ◽  
Shaomeng Huang ◽  
Keji Wan
Keyword(s):  
Release Behavior ◽  
Drying Process ◽  
Water Release ◽  
Pore Evolution ◽  
Thermal Drying

scholarly journals Distribution of Vapor Pressure in the Vacuum Freeze-Drying Equipment

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Shiwei Zhang ◽  
Jun Liu
Keyword(s):  
Vapor Pressure ◽  
Process Parameters ◽  
Freeze Drying ◽  
Drying Rate ◽  
Vapor Flow ◽  
Analysis Method ◽  
Affecting Factors ◽  
Drying Process ◽  
The Difference ◽  
Different Parts

In the big vacuum freeze-drying equipment, the drying rate of materials is uneven at different positions. This phenomenon can be explained by the uneven distribution of vapor pressure in chamber during the freeze-drying process. In this paper, a mathematical model is developed to describe the vapor flow in the passageways either between material plates and in the channel between plate groups. The distribution of vapor pressure along flow passageway is given. Two characteristic factors of passageways are defined to express the effects of structural and process parameters on vapor pressure distribution. The affecting factors and their actions are quantitatively discussed in detail. Two examples are calculated and analyzed. The analysis method and the conclusions are useful to estimate the difference of material drying rate at different parts in equipment and to direct the choice of structural and process parameters.

scholarly journals Dynamic Changes in Endophytic Microorganisms and Metabolites During Natural Drying of Licorice

2021 ◽  
Vol 12 ◽  
Author(s):  
Ting Li ◽  
Guangxi Ren ◽  
Dan Jiang ◽  
Chunsheng Liu
Keyword(s):  
Scientific Basis ◽  
Shannon Index ◽  
Drying Method ◽  
Drying Process ◽  
Dynamic Changes ◽  
Endophytic Microorganisms ◽  
Relationship Of ◽  
The Relationship ◽  
Natural Drying

The method of drying licorice is an important factor affecting the quality of the final product. To determine the best processing method of licorice postharvest, we investigated the interaction of increasing aridity between the endophytic microorganisms and the accumulation of metabolites. Samples from the roots of licorice growing along an aridity gradient during the natural drying process were collected, and the metabolic components, the content of the main active substances and the dynamic changes of the endophytic microbial community were assessed. The glycyrrhizic acid and liquiritin contents decreased slightly or remained flat during natural drying, whereas those of liquiritigenin and isoliquiritigenin increased slightly. Moreover, the Shannon index of endophytic microbial diversity of licorice was the highest in the fresh period and showed a downward trend during the drying process. When the licorice were fresh, Cladosporiaceae and Burkholderiaceae were the dominant family present, but after drying, Nectriaceae and Enterobacteriaceae were the dominant families. A similar trend was also found in which the differential metabolites of licorice were reduced during natural drying. Furthermore, correlation analysis between dominant families and differential metabolites showed that there was a correlation between the two. Therefore, fresh processing is an effective drying method to ensure the quality of licorice. This study revealed the relationship of endophytic microbiota and changes in the licorice metabolites during different stages of drying, which provided a scientific basis for the drying method of licorice.

Some factors affecting the evaporation of water from soil II. The discontinuity of the drying process

1927 ◽  
Vol 17 (3) ◽  
pp. 407-419 ◽  
Author(s):  
E. A. Fisher
Keyword(s):  
Granular Materials ◽  
Environmental Conditions ◽  
External Factors ◽  
Temperature Gradients ◽  
Drying Process ◽  
Moist Air ◽  
Experimental Conditions ◽  
Factors Affecting ◽  
Drying System ◽  
Different Parts

Some of the factors affecting the rate of loss of water from a drying system are shortly reviewed. These factors fall into two groups: (1) the drying system itself, and (2) the environmental conditions. The second group may include (a) diffusion of water vapour through the air, (b) bulk air movements due to (i) temperature gradients between different parts of the drying vessel, (ii) temperature lowering of the drying mass itself due to evaporation, (iii) lower density of moist air, (iv) inevitable disturbances introduced by experimental conditions such as weighing or movement of apparatus, (v) the geometry of the system. It is shown that of the external factors the most important are (2 (a)), (2 (b) (i)) and (2 (b) (ii)); (2 (b) (iv)) may produce irregularities in the rate curves of airdry granular materials; (2 (b) (iii)) and (2 (b) (v)) appear to have little or no effect.

scholarly journals Comparison of Alum and Sulfuric Acid to Retain and Increase the Ammonium Content of Digestate Solids during Thermal Drying

Nitrogen ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 287-297
Author(s):  
Jingna Liu ◽  
Lars Stoumann Jensen ◽  
Dorette Sophie Müller-Stöver
Keyword(s):  
Sulfuric Acid ◽  
Poultry Litter ◽  
Ammonium Nitrogen ◽  
Drying Process ◽  
Ammonia Loss ◽  
N Content ◽  
Aluminum Sulphate ◽  
Thermal Drying ◽  
Concentrated Sulfuric Acid ◽  
Water Extractable

Aluminum sulphate (alum, Al2(SO4)3·nH2O) has successfully been used to reduce ammonia loss from poultry litter, cattle feedlots and manure composting, but has not yet been utilized in the thermal drying process of digestate solids. The objectives of the present study were to evaluate the effects of alum addition on ammonium nitrogen (NH4+-N) content and phosphorus (P) solubility in dried digestate solids in comparison to the addition of concentrated sulfuric acid (H2SO4). Manure-based (MDS) and sewage sludge-based (SDS) digestate solids were chosen to conduct a drying experiment at four pH levels (original pH, 8.0, 7.5 and 6.5) and using two acidifying agents (alum, concentrated H2SO4). Alum addition increased the final NH4+-N content significantly from 1.4 mg g−1 in the non-acidified control up to 18 mg g−1 and 10.8 mg g−1 in dried MDS and SDS, respectively, which were higher levels than obtained with the addition of concentrated H2SO4. Moreover, alum considerably lowered the water extractable phosphorus (WEP) in raw and dried SDS by 37–83% and 48–72%, respectively, compared with the non-treated control. In contrast, concentrated H2SO4 notably increased WEP in raw and dried MDS by 18–103% and 29–225%, respectively. The comparison between the two acidifying agents indicated that alum had the potential to be an efficient and easy-handling alternative to concentrated sulfuric acid, resulting in higher NH4+-N content and lower P solubility.

Sign in / Sign up

Export Citation Format

Share Document