• The Korean Journal of Food And Nutrition
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• v.11 no.3
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• pp.303-311
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• 1998

This study was carried out to determine the blood glucose responses to 10 kinds of typical Korean domestic meals, 9 kinds of eating out meals and 5 kinds of diabetic meals recommended by hospitals. The levels of blood glucose were measured at 15, 30, 60, 90 and 120 minutes after taking 24 kinds of meals(500$\pm$10㎉) and 50g of glucose to healthy volunteers. The blood glucose response areas and glycemic index(GI) were calculated. There was no invariable tendency of blood glucose responses among diabetic meals, general domestic meals and eating out meals. As the units of grain groups were increased, the GI of meals was increase. When the units of grain groups are same, the side dishes also affected the blood glucose responses, however, it is yet unknown what kinds of food materials of side dishes affected the blood glucose responses. Noodles (Chinese style, kalgugsu(Korean home made) and ramen) lowered blood glucose responses compared to steamed rice. Mixing barley and brown rice with polished rich also lowered blood glucose responses, especially when the mixing ratio of them was over the 15%. The lowering efficiency of barely was greater than brown rice. More than three grain units of rice increased the blood glucose response. The GI was significantly correlated with left area ratio(LAR), right area ratio(RAR) and blood glucose levels at 15, 30, 60, 90 minutes. The RAR and blood glucose levels at 30 minutes profoundly affected the GI.

• Korean Journal of Food Science and Technology
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• v.49 no.5
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• pp.469-473
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• 2017

The objective of this study was to develop methods for the discrimination of new and stale rice by using an electronic eye. To develop the discriminant, 107 rice samples produced in the years 2015 and 2016 were investigated. After the rice was treated with guaiacol, oxydol, and p-phenylenediamine reagents, an electronic eye was applied to discriminate between newly harvested rice and rice stored for 1 year. Out of the 4,096 color codes of the electronic eye, 31 color codes were identified for the discrimination of newly harvested rice and rice stored for 1 year. The classification ratio of newly harvested rice and rice stored for 1 year was 100% and the discrimination accuracy for unknown samples was 100%. In a total of 150 mixtures of new rice and stale rice, the discrimination accuracy was between 16.7 and 95.6%, depending on the mixing ratio. This capability of the electronic eye will be useful as a tool for discriminating the production year of rice.

• Korean Journal of Medicinal Crop Science
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• v.17 no.6
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• pp.415-420
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• 2009

This study was carried out to select economical byproduct composts as the substitute for the traditional organic fertilizer, Yacto, in the cultivation of ginseng seedlings, and to investigate the application method of a selected compost. Among tested byproduct composts, popped rice hull compost was the best substitute for Yacto, while the application of domestic animal manure composts resulted in red skinned roots of ginseng seedlings. Optimal mixing ratio of the popped rice hull compost with virgin soil (fine sand) were 3~4 : 1 in bulk, showing the same root yield compared to that of conventional seedbed soil. When the popped rice hull compost was lower than $1\;{\pm}\;0.1%$ in nitrogen content, the expeller cake of oil seed was added to seedbed soil to rise nitrogen content until $1\;{\pm}\;0.1%$.

• The Korean Journal of Food And Nutrition
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• v.29 no.2
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• pp.186-199
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• 2016

The purpose of this study was to determine the optimal composite recipe of rice muffins with 3 concentrations of Spergularia marina L. Griseb, sugar and grape seed oil, using central composite design. In addition, the mixing condition of rice muffins was optimized by subjecting it to sensory evaluation and mechanical and physicochemical analysis using response surface methodology (RSM). In regard to its antioxidant effects, Spergularia marina L. Griseb had a total phenol and flavonoid contents and DPPH free radical scavenging activity of 17.03 mg/g, 5.13 mg/g and 17.21%, respectively. The results of mechanical and physicochemical analysis showed significant values for lightness, redness, yellowness, hardness, springiness, chewiness, gumminess, cohesiveness, height, volume, weight, specific volume, loss rate, pH, moisture, sweetness and saltiness (p<0.05), and the results of sensory evaluation showed significant values for color, flavor, taste, softness, appearance and overall quality (p<0.05). As results, optimal sensory ratio was found to be 6.69 g of Spergularia marina L. Griseb, 41.89 g of sugar and 30.48 g of grape seed oil.

• Asian-Australasian Journal of Animal Sciences
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• v.6 no.1
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• pp.91-97
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• 1993

This experiment was carried out to examine the effects of urea-treated rice straw feeding on the growth performance of crossbred Holstein heifers under different feeding conditions. In the first experiment, the animals were given diets having 2 levels of TDN and CP and 3 levels of crude fiber (22, 30 and 36%) which were formulated with urea-treated rice straw and concentrates. Daily weight gain of heifers was not different between 22% and 30% CF diets, but the reduction of TDN or CP level to 90% of the requirements decreased the weight gain. Fiber content of 36% also reduced the body weight gain. The reduction of TDN significantly reduced DM intake and increased feed conversion ratio. Feed cost per kg weight gain was significantly increased by an increase in CF to 36%. In the second experiment, separate feeding and total mixing feeding were compared. There were no significant differences between the two feeding systems in body weight gain although the possibility of superiority in SF to TMF remained. DM intake was not affected by the feeding system, but 30% CF diet gave higher DM intake. Feed cost per kg weight gain was lower in the 30% CF diet.

• Korean journal of food and cookery science
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• v.32 no.3
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• pp.279-289
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• 2016

Purpose: This study was to determine the optimal composite recipe of rice cookie with 3 concentrations of Spergularia Marina L. Griseb, sugar and grape seed oil, using central composite design (CCD). Methods: The mixing condition of rice cookie was optimized by subjecting it to sensory evaluation and mechanical and physicochemical analysis using response surface methodology (RSM). Results: The results of mechanical and physicochemical analysis showed significant values for lightness, redness, yellowness, hardness, spread factor, loss rate, leavening rate, density, pH, moisture, sweetness and saltiness (p<0.05), and the results of sensory evaluation showed significant values for color, flavor, taste, texture, appearance and overall quality (p<0.05). As a result, the optimal sensory ratio was found to be 6.40 g of Spergularia Marina L. Griseb, 63.49 g of sugar and 106.19 g of grape seed oil. Conclusion: In conclusion, Spergularia Marina L. Griseb is a good source in natural antioxidant aimed at replacing salt, and it is possible to use in cookie or other food products to substitute salt.

• Culinary science and hospitality research
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• v.23 no.4
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• pp.81-92
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• 2017

This research was studied to optimize the recipe of rice pound cake with two concentrations of Euonymus alatus and grape seed oil, using central composite design (CCD). The mixing condition of rice pound cake was optimized by subjecting it to sensory evaluation and mechanical and physicochemical analysis, using response surface methodology (RSM). The results of the mechanical and physicochemical analysis showed significant values for color (lightness, redness, yellowness), texture (hardness, springiness, chewiness, gumminess, cohesiveness), loss rate, volume, specific volume, sweetness, saltiness, moisture content and pH (p<0.05). The results of the sensory evaluation showed significant values for color, flavor, taste, softness, appearance and overall quality (p<0.05). As a result, the optimized compounding ratio was found to be 4.28 g of Euonymus alatus and 33.18 g of grape seed oil.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.4
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• pp.550-556
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• 2014

Rice bran contains both excellent nutritional value and functional advantages. Its utilization is limited due to reducing texture and low storage. To satisfy various tastes, Bacillus spp. having high amylase and protease activities were selected. Using the strains, we made whole grain soybean Meju with a reduced manufacturing period by increasing the concentration of total nitrogen. We made soy sauces with mashing ratios of soy bean and rice bran at 10:0, 9:1, 7:3, and 5:5, and then compared their physiochemical properties. After 2 weeks of fermentation, the sugar content increased from 21~22% to 30~32%. However, pH and salinity showed no differences. At a ratio of 9:1, total nitrogen, amino nitrogen content, and total free amino acid contents were the highest at 1.62%, 652.52 mg%, and 8,804.03 mg/kg, respectively, compared to other mashing ratios of soy bean and rice bran. Especially, the contents of aspartic and glutamic acid, which increase delicate flavoring, were higher in our soy sauce compared to those of general traditional soy sauce and brewed soy sauce, which were 504.25 and 1,262.25 mg/kg, respectively. Serine and alanine, which are related to sweet taste, were present at 49.50 and 518.75 mg/kg, respectively, which were the highest among all mixing ratios, at a ratio of 9:1. Compared to general traditional soy sauce and brewed soy sauce, the contents of histamine and tyramine among biogenic amines decreased to 35.85 and 41.04 mg/kg, respectively. Finally, a soy bean and rice bran mixing ratio of 9:1 was determined to be the optimal mixing ratio in the sensory evaluation.

• The Korean Journal of Mycology
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• v.30 no.2
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• pp.104-108
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• 2002

This study was carried to investigate suitable additive materials and its mixing ratio in pot cultivation of Pleurotus ostreatus. The main substrate for Pleurotus ostreatus cultivation was poplar sawdust plus with waste cotton at the ratio 1 : 1 (v/v). Using pot diameter and substrate weight were 12 cm and 1 kg/pot, respectively. The higher amount of additives resulted in higher total nitrogen content and C/N ratio of substrate also decreased according to increasing mixing ratio of additives. The supplementation of cotton seed flour more than 20% caused the failure of devolopment of fruit body. The hardness of substrate in supplementation of rice bran after mycelial growth was highest any other additives. The ratio of harvest was highest in supplementation of beet pulp, $75{\sim}85%$. The fruit bodies yield and biological efficiency of supplemented with 20% beet pulp were highest during second flush.

• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.633-644
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• 2020

Rice paper is an element of Vietnamese cuisine that can be used to wrap vegetables and meat. Rice and starch are the main ingredients of rice paper and their mixing ratio is important for quality control. In a commercial factory, assessment of food safety and quantitative supply is a challenging issue. A rapid and non-destructive monitoring system is therefore necessary in commercial production systems to ensure the food safety of rice and starch flour for the rice paper wrap. In this study, fluorescence hyperspectral imaging technology was applied to classify grain flours. Using the 3D hyper cube of fluorescence hyperspectral imaging (fHSI, 420 - 730 nm), spectral and spatial data and chemometric methods were applied to detect and classify flours. Eight flours (rice: 4, starch: 4) were prepared and hyperspectral images were acquired in a 5 (L) × 5 (W) × 1.5 (H) cm container. Linear discriminant analysis (LDA), partial least square discriminant analysis (PLSDA), support vector machine (SVM), classification and regression tree (CART), and random forest (RF) with a few preprocessing methods (multivariate scatter correction [MSC], 1^st and 2^nd derivative and moving average) were applied to classify grain flours and the accuracy was compared using a confusion matrix (accuracy and kappa coefficient). LDA with moving average showed the highest accuracy at A = 0.9362 (K = 0.9270). 1D convolutional neural network (CNN) demonstrated a classification result of A = 0.94 and showed improved classification results between mimyeon flour (MF)1 and MF2 of 0.72 and 0.87, respectively. In this study, the potential of non-destructive detection and classification of grain flours using fHSI technology and machine learning methods was demonstrated.