scholarly journals The Optimization and Mathematical Modeling of Quality Attributes of Parboiled Rice Using a Response Surface Method

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Khurram Yousaf ◽  
Chen Kunjie ◽  
Chen Cairong ◽  
Adnan Abbas ◽  
Yuping Huang ◽  
...  

The response surface methodology was used to optimize the hydrothermal processing conditions based on the rice quality parameters of the Rong Youhua Zhan rice variety (Indica). The effect of soaking temperature (29.77, 40, 55, 70, and 80.23°C), soaking time (67.55, 90, 120, 150, and 170.45 min), and steaming time (1.59, 5, 10, 15, and 18.41 min), each tested at five levels, on percentage of head rice yield (HRY), hardness, cooking time, lightness, and color were determined, with R2 values of 0.96, 0.94, 0.90, 0.88, and 0.94, respectively. HRY, hardness, cooking time, and color increased with process severity while lightness decreased, although HRY decreased after reaching a maximum. The predicted optimum soaking temperature, soaking time, and steaming time were 69.88°C, 150 min, and 6.73 min, respectively, and the predicted HRY, hardness, cooking time, lightness, and color under these conditions were 73.43%, 29.95 N, 32.14 min, 83.03 min, and 12.24 min, respectively, with a composite desirability of 0.9658. The parboiling industry could use the findings of the current study to obtain the desired quality of parboiled rice. This manuscript will be helpful for researchers working on commercializing parboiled rice processes in China as well as in other countries.

2021 ◽  
Vol 39 (4) ◽  
pp. 1247-1254
Author(s):  
A.B. Muochebe ◽  
O.C. Nwajinka ◽  
I.E. Nwatu

Optimization study was carried out on the parboiling process variables for improving the milling quality of FARO-44 rice variety using Response Surface Methodology (RSM) in Central Composite Design (CCD). The variables studied were initial soaking temperature (IST), soaking time (SKt) and steaming time (STt) including their interactive effects.The range of the input variables studied were 70-90oC, 8-12hrs and 40-50minsfor initial soaking temperature, soaking time and steaming time respectively. For thisstudy, a total of twenty (20) randomized experimental runs comprising one (1) replicate of factorial point, one (1) replicate of axial point (alpha 2.7) and six (6) centre point in the design space. Analyses of variance (ANOVA) were performed on the experimental data sets and models were fitted for all the response variables generated. The result showed that the optimal parboiling variables were, 90 0C, 46mins and 10 hours,for initial soaking temperature, steaming time and soaking time respectively with their corresponding optimum response 58.7%, 6.7% and 58.1% for Head rice yield (based on parboiled paddy weight), breakage ratio and milled rice colour (based on illumination). The  composite desirability is 0.793 which maximized the percentage Head rice yield (HRY) and milled rice colour (MRC) but minimized the percentage Breakage Ratio (BR). Keywords: optimization, Response Surface Methodology, FARO-44, Rice,Head rice, parboiling 


2020 ◽  
Vol 15 (3) ◽  
pp. 24-33
Author(s):  
Mayowa Saheed Sanusi ◽  
Rahman Akinoso

This study was designed to investigate, model and optimize the effect of process factors (soaking temperature, soaking time, steaming time and paddy moisture content) on rice quality attributes and total energy consumption of a commercially grown rice variety (FARO 60) using response surface methodology. The optimum processing conditions obtained for the rice quality attributes and total energy consumption varies from one another. The milling recovery, head rice yield, white bellies, lightness, colour, and total energy consumption values of the parboiled rice ranges from 68.46 - 72.34%; 67.71 - 71.42%; 0.50 - 4.30%; 22.03 - 33.00; 14.10 - 21.21 and 45.27 - 73.68 MJ, respectively. The second-order polynomial models were observed to be fit in predicting milling recovery, head rice yield, white bellies and total energy consumption with the coefficient of determination (R2) that range from 78.71 to 95.03% while colour and lightness values were not fit with R2 ranging from 24.05 to 52.95%. The multiobjective optimization for desirable parboiled rice quality attributes and total energy consumption showed that universal optimum condition was found at 64°C soaking temperature, 11 h soaking time, 35 min steaming time and 17% paddy moisture content. The approach used and information obtained from this study would be useful for rice processors as a strategic means of minimizing total energy consumption, without compromising its desirable quality attributes. Keywords: Multiobjective Optimization; Parboiled Rice Quality Attributes; Total Energy Consumption


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ayenew Meresa ◽  
Ayalew Demissew ◽  
Seifu Yilma ◽  
Getu Tegegne ◽  
Kiber Temesgen

Most locally cultivated rice varieties in Ethiopia have low physical (low head rice yield, high broken rice yield, and high percentage of chalkiness) and cooking qualities (low water uptake ratio and swelling ratio). Parboiling, a process which involves soaking, steaming, and drying, has been identified as a key technique to improve cooking and milling quality of rice. The current study is aimed at elucidating the effect of parboiling on physical and cooking qualities of three rice varieties (Gumara, Edget, and Narica4) collected from Fogera National Rice Research and Training Center, Amhara region, Ethiopia. Each rice variety was subjected to different soaking temperatures (40°C, 50°C, 60°C, 70°C, and 80°C) and steaming time (10, 20, 30, 40, and 50 minutes). The treatment effect results indicated that parboiling has a significant effect (P<0.05) on head rice yield and percentage of broken rice with increased soaking temperature and steaming time as compared to the control. For instance, percent head rice yield increased as soaking temperature (from 40 to 80°C) and steaming time (from 10 to 50 min) increased: for Gumara, from 4.07 to 93.6%, for Edget, 9.47 to 96.53, and from 3.20 to 91.67 for Narica4. Percentage chalkiness had decreased as soaking temperature and steaming time increased: 97.33% to 0.00% for Gumara, 97.80% to 0.00% for Edget, and 100.00% to 0.13% for Narica4 as compared to 100% for control of all varieties. The minimum cooking time was identified as 16-23 min for Gumara, 16-23 min for Edget, and 15-20 min for Narica4 rice varieties. The result of the present study clearly showed that parboiling with high soaking temperature and steaming time increased the head rice yield, water uptake ratio, decreased percentage chalkiness, and enhanced the overall quality of the rice varieties.


Author(s):  
Busarakorn Mahayothee ◽  
Supaporn Klaykruayat ◽  
Marcus Nagle ◽  
Joachim Müller

Germinated parboiled rice (GPR) is recognized as a functional food because it is rich in bioactive compounds, especially gamma-aminobutyric acid (GABA). GPR was produced by soaking, incubating, steaming, and then drying using a high-precision hot air dryer. The results indicated that air flow mode and drying temperature had significant effects on the quality of GPR. Drying at higher temperatures and shorter times conserved GABA content. Using through-flow mode decreased drying time and prevented color change. However, a slightly lower percentage of head rice yield was observed. Moreover, using through-flow mode negatively affected the hardness loss after cooking.Keywords: Germinated parboiled rice; Drying mode; Gamma-aminobutyric acid; Head rice yield  


2019 ◽  
Vol 11 (5) ◽  
pp. 93
Author(s):  
Uppu Sai Sravan ◽  
Shiv Prakash Singh

A 2-year study conducted to determine the effect of integrated nutrient management on yield and quality of basmati rice varieties in non-traditional area with 54 plots in split plot design. Variety HUBR 10-9 produced 18.8% higher mean grain yield and superior quality parameters than HUBR 2-1. Mean milling, head rice recovery, amylose content and alkali digestion value noted higher with HUBR 10-9 by 4.1%, 4.1%, 8.5% and 15.1% over HUBR 2-1, respectively. Addition of 75% recommended dose of fertilizers with 25% recommended dose of nitrogen as farmyard manure produced higher mean values by 3.1%, 4.2% and 4.0% for hulling, milling and head rice recovery respectively over 100% recommended dose applied as inorganic sources. Combined use of bio-inoculants (blue green algae plus Azospirillum) exhibited higher values for yield and quality parameters. HUBR 10-9 be grown using 75% recommended dose of fertilizers with 25% nitrogen as farmyard manure and blue green algae plus Azospirillum for enhancement in yield and quality in non-traditional areas of eastern Uttar Pradesh. Further investigation required under diverse conditions.


2021 ◽  
Author(s):  
Hassen Mosbah ◽  
Slimen Attyaoui ◽  
Rachid Nasri

Abstract The countersinking process is affected by many factors including the tools and the workpiece parameters. Some forming phenomena such as the knife-edge affect the quality of the countersunk hole. Up to now, many kinds of research rely mainly on the experiments which lead to poor quality and difficult control of this process. In this paper, a proposed numerical optimization of the countersinking process is developed to obtain a normalized countersunk hole. This optimisation approach is based on the response surface method (RMS), design of experiments (DOE) and the sequential quadratic programming (SQP). Finite element model is performed with an elasto-plastic behaviour for simulating the process. A configuration with an imposed displacement applied to the blank holder is adopted in this study. The comparison between the results of the numerical model and the experiments showed a good agreement.


2017 ◽  
Vol 8 (11) ◽  
pp. 4251-4264 ◽  
Author(s):  
Liao Peiran ◽  
Liu Ying ◽  
Zhao Mingzhuo ◽  
Yang Ye ◽  
Cui Xiuming

The optimum process forPanax notoginsengmedicinal liquor was as following: ratio of solution to solid 32 : 1, alcohol content 53% and soaking time 35 d.Panax notoginsengmedicinal liquor could play the role of functional food in anti-oxidation and anti-melanin deposition.


2016 ◽  
Vol 12 (21) ◽  
pp. 144
Author(s):  
Ayihadji Ferdinand Paul Houssou ◽  
Damien Tchatcha ◽  
Apollinaire Guy Mensah ◽  
Abdoulaye Kabore ◽  
Koichi Futakuchi ◽  
...  

The suitability of 10 different rice varieties cultivated in Benin for parboiling was assessed through physical, chemical and sensorial analysis. Paddy rice samples were soaked at three different water temperatures (60, 70 and 80°C) under laboratory conditions. Using these temperatures, significant differences (p < 0.05) were observed in the chalkiness, hardness and grain homogeneity of the parboiled rice after milling. The paddy rice soaked at 80°C presented the best results: the majority of the parboiled grains were homogeneous (overall mean = 85.16%) and had favorable scores for hardness (overall mean = 8.99 kg) and chalkiness (score =1). In the field, At soaking temperature about 80°C the professional parboilers preferred NERICAL56, BERIS21 and IR841 as the most suitable for parboiling from the investigated rice varieties, due to the grain homogeneity (> 90 %), head rice ratio ( > 86.67 %) and low rate of broken grains after milling (<13.33 %). These three varieties were the most appreciated by the panelists before and after cooking, whereas BL19 and NERICA2 were the least. Findings from this work are important for guiding rice parboiling stakeholders in Benin and other countries in West Africa. NERICAL56, BERIS21 and IR841 were the suitable rice varieties for parboiling to be advised to the processors. To this end, passport data on the varieties suitable for parboiling will be produced and widely disseminated to the stakeholders for rice parboiling.


2013 ◽  
Vol 371 ◽  
pp. 394-398 ◽  
Author(s):  
Adrian Popescu ◽  
Liana Hancu ◽  
Paul Bere

Polymeric material's extrusion is a very complex manufacturing process opened for new research. In this paper the authors use for extrusionpolyamide 6.6reinforced with 20% glass fibres. This material offers very good mechanical, thermal and frictional proprieties. The improvement of these proprieties can be realized through the optimization of the extrusion process. Temperature is a very important parameter for obtaining good quality products, so to choose the proper values of it, is an interesting challenge. It was proved that the main influence upon the product's quality have the temperatures from the metering zone and from the forming zone so the optimization of these is of maximum importance for the quality of the products. The Response Surface Method (RSM), based onANOVA - Analysis of Variancemodel was used for optimization the temperatures from the metering zone and from the forming zone.


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