Effect of Drying on Physical Qualities and Sensory Evaluation of Herbal Germinated Brown Rice by Hot Air: Turmeric and Roselle

2013 ◽  
Vol 372 ◽  
pp. 420-423
Author(s):  
Khwanruedi Sangchum ◽  
Yutthana Tirawanichakul ◽  
Supawan Tirawanichakul
Keyword(s):  
Moisture Content ◽  
Sensory Evaluation ◽  
Initial Moisture Content ◽  
Brown Rice ◽  
Ambient Air ◽  
Drying Rate ◽  
Germinated Brown Rice ◽  
Rice Drying ◽  
Drying Conditions ◽  
Cie Lab

The object of this project was to study the effect of drying temperature on physical quality and sensory evaluation of germinated brown rice soaking with tumeric and roselle. The drying was run under the conditions of drying temperatures of 80-100°C and air velocity of 7.3 m/s. Initial moisture content of brown rice samples was of 54-55% dry-basis and was dried until the final moisture content reached to 20-25% dry-basis. After drying, the rice was tempered and then was ventilated by ambient air until its moisture content reached to 14-15% dry-basis. The experiment showed that highest drying rate is incident at 100°C. For physical qualities analysis, the results showed that the drying air temperature does not affect to head rice yield, fissured kernels, chalky grain and color (L*, a*, b* CIE-lab unit) of herbal germinated brown rice. In addition, herbal germinated brown rice drying can maintain low percentage of chalky grain compared to commercial brown rice. The soaking solution was not affect to drying rate. Finally, the sensory evaluation showed that the herbal germinated brown rice dried with all drying conditions was acceptable taste (>5).

scholarly journals Performance test of air input control system for paddy grain drying using in-store dryer

2021 ◽  
Vol 922 (1) ◽  
pp. 012032
Author(s):  
D Nurba ◽  
R Agustina ◽  
M Yasar ◽  
A Khurjannah
Keyword(s):  
Control System ◽  
Moisture Content ◽  
Performance Test ◽  
Initial Moisture Content ◽  
Electrical Energy ◽  
Biomass Combustion ◽  
Drying Rate ◽  
Input Control ◽  
Study Results ◽  
Rice Drying

Abstract The control system is e series of a system that is very important in today’s technology. Wherewith control system can make the human job easy and get a good result. This study used a controlled In-Store Dryer to dry 100 kg of grain with an initial moisture content of 17,77% to reach 14%. The study results using a control system, the average ambient temperature of the three tests ranged from 32°C to 33°C, and the RH ranged from 64,8 % to 68,6%. At the same time, the average temperature was 36,7°C to 37,5°C, and the average RH was 49,9% up to 64,7%. The drying airflow speed at the fan input is 6,2 m/s and at the chimney 9,2 m/s. Moisture content during drying differs for each thickness depending on the location, with an average drying rate of 0,92%. During drying, the moisture content varied for each consistency depending on the site, with the drying rate at an average ISD of 0.92% w / hr. total electrical energy consumption of 32.57 kWh and energy in biomass combustion 1,416,600 kJ. The quality during rice drying starts from the initial moisture content of 17.78% to reach the final moisture content of 10.44%.

scholarly journals Cherry Tomato Drying: Sun versus Convective Oven

Horticulturae ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 40
Author(s):  
Vincenzo Alfeo ◽  
Diego Planeta ◽  
Salvatore Velotto ◽  
Rosa Palmeri ◽  
Aldo Todaro
Keyword(s):  
Moisture Content ◽  
Initial Moisture Content ◽  
Drying Process ◽  
Drying Time ◽  
Oven Drying ◽  
Sun Drying ◽  
Different Temperatures ◽  
Final Water Content ◽  
Drying Curves ◽  
Drying Conditions

Solar drying and convective oven drying of cherry tomatoes (Solanum lycopersicum) were compared. The changes in the chemical parameters of tomatoes and principal drying parameters were recorded during the drying process. Drying curves were fitted to several mathematical models, and the effects of air temperature during drying were evaluated by multiple regression analyses, comparing to previously reported models. Models for drying conditions indicated a final water content of 30% (semidry products) and 15% (dry products) was achieved, comparing sun-drying and convective oven drying at three different temperatures. After 26–28 h of sun drying, the tomato tissue had reached a moisture content of 15%. However, less drying time, about 10–11 h, was needed when starting with an initial moisture content of 92%. The tomato tissue had high ORAC and polyphenol content values after convective oven drying at 60 °C. The dried tomato samples had a satisfactory taste, color and antioxidant values.

Drying of Rough Rice in Oven: An Experimental Study

2015 ◽  
Vol 365 ◽  
pp. 77-81 ◽  
Author(s):  
J.V. Silva ◽  
E.M.A. Pereira ◽  
T.H.F. Andrade ◽  
Antônio Gilson Barbosa de Lima
Keyword(s):  
Experimental Study ◽  
Relative Humidity ◽  
Moisture Content ◽  
Product Quality ◽  
Air Temperature ◽  
Drying Rate ◽  
Rough Rice ◽  
Drying Conditions ◽  
Kinetics Of ◽  
Mechanical Movement

This paper aims to present an experimental study of rough rice (BRSMG CONAI cultivar) drying by using a stationary method. The grain was dried in an oven with air mechanical movement under controlled conditions of velocity, temperature and relative humidity. In order to obtain balanced moisture content, the samples studied were kept at 40 and 70°C. Results of the drying and heating kinetics of the grain during the process are shown and analyzed. It was found that higher drying rate and lower time for drying as higher air temperature (70°C) is used. It can be concluded that the reduction of the moisture content of the grain, is considered very complex and, depending on the method and drying conditions, can substantially provokes breaking and cracks, which reduces final product quality.

Research on Constant-Temperature Drying Test of Cotton Straw and Regression Analysis of Drying Rate

2012 ◽  
Vol 472-475 ◽  
pp. 1645-1651
Author(s):  
Jian Jun Hu ◽  
Sheng Qiang Shen ◽  
Ting Zhou Lei ◽  
Hao Huang ◽  
Quan Guo Zhang
Keyword(s):  
Regression Analysis ◽  
Constant Temperature ◽  
Initial Moisture Content ◽  
Drying Rate ◽  
Regression Equations ◽  
Drying Time ◽  
Drying Curves ◽  
Drying Technology ◽  
Drying Conditions ◽  
Two Stages

Constant-temperature drying tests for cotton straw under different conditions were performed with an integrated thermal analyzer, and the influence of different drying conditions on the drying process was analyzed. The process was divided into preheating stage, constant-rate drying stage, and decelerating drying stage. Regression analysis was conducted for drying curves at the latter two stages, and then the drying time at the critical point was determined. Regression equations of drying rate at these stages were produced. Research results showed that the decelerating drying stage of cotton straw included two decelerating intervals, and the best ending point of the drying of the cotton straw that had an initial moisture content of 56.1% and a drying temperature of 100°Cwas 600s, thus providing experimental data and reference for research on drying technology of straws.

Artificial Neural Network Approach for Impingement Drying of Germinated Brown Rice Soaking with Turmeric Solution

2013 ◽  
Vol 372 ◽  
pp. 463-466
Author(s):  
Kiattisak Suntaro ◽  
Khwanruedi Sangchum ◽  
Supawan Tirawanichakul ◽  
Yutthana Tirawanichakul
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Moisture Content ◽  
Brown Rice ◽  
Measured Data ◽  
Drying Kinetics ◽  
Drying Time ◽  
Rice Samples ◽  
Artificial Neural ◽  
Drying Conditions

The objectives of this research are to determine the evolution of moisture transfer for germinated Thai jasmine Khao Dawk Mali 105 (KDML105) brown rice variety using impingement drying by eight commonly empirical drying modeling and artificial neural network (ANN) method. The experiments were carried out with drying temperatures of 80-100°C, initial moisture content of KDML105 rice samples soaking with turmeric solution was of 54-55% dry-basis and the desired final moisture content for each drying conditions was fixed at 14-16% dry-basis. The air flow rate was fixed at 7.0 m/s. The measured data in each drying conditions were simulated for getting drying equation by non-linear regression analysis. The results showed that the rice soaking with herb turmeric solution had no effect to drying kinetics and the simulated data using empirical drying equation of Henderson model had the best fitting to all measured data (R2of 0.9978-0.9995 and RMSE of 0.0001441-0.000414). For applying ANN modeling approach, the drying temperature and drying time were considered as the input variables for the topology of neural network while the moisture ratio was the output layer. The simulation results concluded that the simulated values of the ANN model, which was not concerned with any complicated physical properties of grain rice kernels, could be used for prediction drying kinetics and was relatively high accuracy compared to those predicted results of empirical models. So the ANN method without any complicated properties related of rice samples can approach for good prediction their drying kinetics as well as the complicated drying simulations method.

A Proposed Method for Quantifying Thermal Exposure Incurred during Rough-Rice Drying

2021 ◽  
Vol 64 (2) ◽  
pp. 475-484
Author(s):  
Seth Graham-Acquaah ◽  
Terry J. Siebenmorgen
Keyword(s):  
Relative Humidity ◽  
Moisture Content ◽  
Thermal Desorption ◽  
Thermal Exposure ◽  
Drying Process ◽  
Rough Rice ◽  
Thermal Sterilization ◽  
End Use ◽  
Rice Drying ◽  
Drying Conditions

HighlightsDrying conditions affect rice end-use functionality.Thermal exposure incurred by rough rice may differ depending on drying conditions.A framework is proposed for deriving an index that can show how much heat exposure rough rice incurs during drying.Abstract. Heated air is used to dry most rice in the U.S. Thus, commercial rice drying can be considered a thermal process that aims to remove moisture from rough rice until a desired moisture content is reached. Parallels can be drawn between rice drying and thermal sterilization that is targeted at reducing microbial load because moisture content reduction during drying follows similar decay rate kinetics as the reduction in microbial load during thermal sterilization. Given the different combinations of drying air conditions (air temperature and relative humidity), as well as drying and tempering durations, employed in various dryer designs for rice drying and the impact that these conditions have on rice end-use functionality, this study sought to derive a thermal treatment index (drying process values) that is similar to the F0 value concept used in thermal sterilization for quantifying and comparing the thermal exposure incurred by rice during drying under various scenarios. Using data collected from rough-rice drying experiments, a decimal desorption value (Dmv) that represents the duration required to cause a 90% reduction in moisture ratio during drying at a specified temperature was determined, from which a thermal desorption constant (Zmv) that represents the increase in temperature necessary to cause a 90% reduction in Dmv during drying was established. Subsequently, a thermal desorption value (Fmv) was derived to express the duration that a rice lot would have been heat treated at a reference temperature during drying to produce an equivalent effect on moisture content as that produced by the actual drying process. Keywords: End use, Moisture content, Peak viscosity, Postharvest, Relative humidity, Rice, Temperature.

scholarly journals Optimization of pumpkin and feed moisture content to produce healthy pumpkin-germinated brown rice extruded snacks

2018 ◽  
Vol 52 (6) ◽  
pp. 550-556 ◽  
Author(s):  
Phanlert Promsakha na Sakon Nakhon ◽  
Kamolwan Jangchud ◽  
Anuvat Jangchud ◽  
Chulaluck Charunuch
Keyword(s):  
Moisture Content ◽  
Brown Rice ◽  
Germinated Brown Rice ◽  
Extruded Snacks ◽  
Feed Moisture

scholarly journals Effect of steam thermal treatment on the drying process of Eucalyptus dunnii variables

CERNE ◽  
2013 ◽  
Vol 19 (4) ◽  
pp. 637-645 ◽  
Author(s):  
Elias Taylor Durgante Severo ◽  
Ivan Tomaselli ◽  
Fred Willians Calonego ◽  
André Luiz Ferreira ◽  
Lourival Marin Mendes
Keyword(s):  
Moisture Content ◽  
Initial Moisture Content ◽  
Moisture Gradient ◽  
Steam Treatment ◽  
Drying Rate ◽  
Drying Process ◽  
Intermediate Layers ◽  
Eucalyptus Dunnii ◽  
Electric Oven ◽  
Heating Up

The aim of this study was to evaluate the effect of steam treatment prior to drying on the initial moisture content, moisture gradient, and drying rate in Eucalyptus dunnii Maiden wood. Boards were steamed at 100ºC for 3 h after 1 h of heating-up. Part of these boards was dried in a drying electric oven at 50ºC, and part was dried at kiln. The results showed that the steaming prior to drying of wood: (1) significantly reduced by 9.2% the initial moisture content; (2) significantly increased by 6.2% the drying rate; (3) significantly decreased by 15.6 and 14.8% the moisture gradient between the outer layer and the center of boards and between the outer and intermediate layers of boards, respectively. Steamed boards when dried in an oven showed drying rate of 0.007065 whereas in kiln were 0.008200 and 0.034300 from green to 17 and 17 to 12% moisture content, respectively. It was demonstrated that the steaming prior to drying can be suitable for reduces the drying times of this kind of wood.

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