• Title/Summary/Keyword: brown colored rice

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Development of Brown Colored Rice Tea with High GABA Content (GABA 함량이 높은 갈색 유색미를 이용한 차 개발)

  • Kwak, Eun-Jung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.39 no.8
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    • pp.1201-1206
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    • 2010
  • As a means to increase the production and consumption of the brown colored rice with high content of GABA ($\gamma$-aminobutyric acid), this study was conducted to develop brown colored rice tea. After roasting at various temperatures and times, color values and GABA content of the brown colored rice were analyzed. Physicochemical properties such as browning, turbidity, reducing sugar, soluble solid, total polyphenol and pH of brown colored rice tea were determined after the rice powder was put into tea bags and leached in hot water. Sensory characteristics were investigated for three kinds of tea roasted at $170^{\circ}C$ for 10, 20 and 30 min. As the roasting temperature and time increased, L, a and b values decreased as well as GABA content. The brown colored rice roasted at $170^{\circ}C$ for 10 min contained the highest content of GABA. Browning, turbidity, reducing sugar, soluble solid and total polyphenol of the brown colored rice tea increased as the roasting temperature and time increased, on the contrary, pH decreased. The brown colored rice tea roasted for 30 min was preferred the most in color, flavor, taste and overall acceptance. From this result, the brown colored rice tea needs to be manufactured by a combination of the brown colored rice roasted at $170^{\circ}C$ for 10 min and 30 min to satisfy the consumer's preference and high content of GABA.

Quality Characteristics and Preparation of Noodles from Brown Rice Flour and Colored Rice Flour (유색미가루와 현미가루를 첨가한 국수제조 및 품질특성)

  • 이원종;정진구
    • Culinary science and hospitality research
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    • v.8 no.3
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    • pp.267-278
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    • 2002
  • To promote the consumption of race, comparative study was performed on characteristics of wheat flour noodle mixed with brown rice flour and colored rice flour. Protein content of colored rice was higher than that of the brown rice, but lipid and ash contents were similar to those of brown rice. Colored rice flour had significantly lower peak viscosity, holding viscosity, breakdown viscosity, final viscosity and setback viscosity than those of wheat flour, while brown rice had significantly higher peak viscosity, breakdown viscosity and setback viscosity than those of colored rice flour and wheat flour. Colored rice and brown rice had 5.3~6.4% total dietary fiber, and the proportions of soluble fiber in total dietary fiber were quite low, ranging from 9.4% to 18.8%. L(brightness), a(redness) and b(yellowness) of raw noodles were measured using a colorimeter. L(brightness) and b(yellowness) values of Asian raw noodles made from colored rice and brown rice significantly decreased. Addition of colored rice flour and brown rice flour to Asian noodle reduces cutting forces of dry and cooked noodles. The cooked noodle with 10% chalheukmi waxy rice flour was the highest in the cutting force of cooked noodle. Addition of 20% chalheukini waxy rice flour and 20% brown rice flour to wheat flour was got to a relatively high score for appearance, color, texture, taste and overall eating quality from sensory evaluation of cooked noodles.

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Diversity and Function of Pigments in Colored Rice (유색미 색소의 종류와 기능)

  • Choi, Hae-Chune;Oh, Sea-Kwan
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.41 no.spc1
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    • pp.1-9
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    • 1996
  • The edible natural pigments extracted from plant organs become steadly popular to consumer because of those physiological functions desirable for food preservation and human health in recent years. There are a number of colored rice genotypes from light brown to blackish purple via reddish brown and purple. Some researchers reported their results on extraction recipes and identification of chemical structure of the pigments from the colored rice. The pigments extracted from colored rices can be largely divided into two types of anthocyanin and tannin pigments. Anthocyanin pigments are mainly contained in purple or blackish purple rice while tannin pigments are mainly contained in brown or reddish brown rice. Some brownish purple rices showed two peaks of tannin and anthocyanin pigments simultaneously. Purple rices showed better extraction of pigments in $0.1\%$ HCl-contained $80\%$ methanol or $0.5\%$ malic-acid-contained $80\%$ ethanol, while red rices revealed better extraction of pigments in $0.01\%$ citric-acid-contained $80\%$ ethanol. The anthocyanin pigments are generally unstable to heat, light and acidity of solution. The pigments extracted from colored rice can be preserved stably under the dark and cool(<$5^{\circ}C$) condition and at pH $2.0\~4.0$. The anthocyanin pigments of purple rice are mainly composed by cyanidin-3-glucoside (chrysanthemin). The other pigment fractions in purple rice were identified to peonidin-3-gluco-side, malvidin-3-galactoside(uliginosin) and cyanidin-3-ramnoglucoside(keracyanin). The pericarp coloration of purple rices is controlled by three complimentary genes C (anthocyanin), A(activator) and $Pl^{w}$(purple leaf) genes, while the red rices are expressed by complimentary interaction between Rc(basic substance of pigment) and Rd(distribution of pigment) genes or C and $Pl^{w}$ genes. Recently, the antioxidation and antimutagenic activity in main component of anthocyanin pigments extracted from colored rice were identified. The natural pigments from colored rice can be useful for beverages, cakes, ice scream, cosmetic and so on.

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Antioxidant and Anti-Adipogenic Effects of Colored and Brown Rice Extracts Depending on Cultivars (품종별 유색미 및 현미 추출물의 항산화 활성 및 지방축적 억제 효과)

  • Kim, Min Young;Park, Hye Young;Lee, Yu-Young;Lee, Byong Won;Kim, Mi Hyang;Lee, Jin Young;Lee, Jong Hee;Kang, Moon-Suk;Koo, Bon Cheol;Kim, Hyun-Joo
    • The Korean Journal of Food And Nutrition
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    • v.33 no.2
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    • pp.149-158
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    • 2020
  • The purpose of this study was to investigate antioxidant characteristics and anti-adipogenic effects of colored rice and brown rice extracts in 3T3-L1 adipocyte depending on cultivar (Josaengheugchal, Heugjinmi, Hongjinju, Geongganghongmi, Seolgaeng, Milyang 320, Sindongjin, Baegjinju). Colored rice and brown rice was extracted with 100% ethanol, followed by the analysis of polyphenol, flavonoid, anthocyanin, antioxidant, and anti-adipogenic activity. Total polyphenol and flavonoid content ranged from 6.86~314.08 mg GAE/g and 1.47~56.88 mg CE/g the highest total polyphenol and flavonoid content was observed in Heugjinmi cultivar. Anthocyanin composition was analyzed by HPLC, cyanidin-3-gluoside and peonidin-3-glucoside was found in black rice including Josaengheugchal and Heugjinmi. Also, the ABTS and DPPH radical scavenging activity of colored rice cultivars was higher than that of brown rice cultivars, the highest ABTS radical scavenging activity also was observed in Heugjinmi (128.20 mg TE/g). The anti-adipogenic effects of colored rice and brown rice extracts on differentiation of 3T3-L1 preadipocytes evaluated that extracts of Heugjinmi cultivar significantly reduced intracellular lipid accumulation. These results provide valuable information for the use of Korean colored rice cultivar as a functional food materials relative to anti-obesity.

Varietal Variation of Pigmentation and Some Nutritive Characteristics in Colored Rices (유색미 색도 및 영양특성의 품종간 변이)

  • Koh, Hee-Jong;Won, Yong-Jae;Wan, Geon-Wan;Heu, Mun-Hue
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.41 no.5
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    • pp.600-607
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    • 1996
  • Colored rices have been used for specific purposes by rice consumers due to the color and nutritive values empirically recognized. In this study, varietal variations of pigmentation and nutritive values were investigated in brown, red, purple and black rices. Pigments were localized in seed coat to pericarp region in all varieties tested. Pigments were slightly residued on the surface of milled rice. Anthocyanin content per g brown rice was 1.63~17.62 $\mu\textrm{g}$ in brown and reddish-brown rices, 3.56~11.10 $\mu\textrm{g}$ in red rices, 28.11~401.22 $\mu\textrm{g}$ in purple rices, and 3, 665.98 $\mu\textrm{g}$ in a black rice. A vatiety DZ 78 showed the highest protein content out of colored rices analyzed for protein. Normal and colored rices were found to have the similiar composition of amino acids, and so was in between brown rice without embryo and milled rice. Colored rices, L $K_1$B-4-12-1-1 and DK 1, showed higher content of vitamin $B_1$ compared with Hwacheongbyeo, a check variety of no specific color, and L $K_1$B-2-1-1 and L $K_1$B-4-12-1-1 showed much higher content of vitamin B2 in brown rice without embryo. Cation contents such as $K^{+}$, $Mg^{2+}$, $Ca^{2+}$ and F $e^{2+}$ were significantly increased in most of the colored rices tested implying that the increase might be associated with color pigmentation.ation.

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Algorithm for Discrimination of Brown Rice Kernels Using Machine Vision

  • C.S. Hwang;Noh, S.H.;Lee, J.W.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.823-833
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    • 1996
  • An ultimate purpose of this study is to develop an automatic brown rice quality inspection system using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor for magnifying the input image and optical fiber for oblique illumination. Primarily , geometrical and optical features of sample images were analyzed with unhulled paddy and various brown rice kernel samples such as sound, cracked, green-transparent , green-opaque, colored, white-opaque and brokens. Secondary, an algorithm for discrimination of the rice kernels in static state was developed on the basis of the geometrical and optical parameters screened by a statistical analysis(STEPWISE and DISCRIM Procedure, SAS ver.6). Brown rice samples could be discriminated by the algorithm developed in this study with an accuracy of 90% to 96% for the sound , cracked, colored, broken and unhulled , about 81% for the green-transparent and the white-opaque and about 75% for the green-opaque, respectively. A total computing time required for classification was about 100 seconds/1000 kernels with the PC 80486-DX2, 66MHz.

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Chemical Compositions and Antioxidant Activity of the Colored Rice Cultivars (유색미의 화학적성분 및 항산화활성)

  • Kim, Eun-Ok;Oh, Ji-Hae;Lee, Kee-Taek;Im, Jung-Gyo;Kim, Sung-Soo;Suh, Hak-Soo;Choi, Sang-Won
    • Food Science and Preservation
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    • v.15 no.1
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    • pp.118-124
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    • 2008
  • The chemical compositions and antioxidant activities of four different colored rice cultivars (white-colored rice: WCR, brown-colored rice: BCR, brown-colored waxy rice: BCWR, black-colored rice: BKCR) were investigated to evaluate the quality characteristics of the new brown rice cultivars. There was no significant differences in chemical compositions amongst the four rice cultivars, although WCR had higher amount of carbohydrate than did the other rice cultivars. 'The major fatty acids in the four rice cultivars were linoleic, oleic and palmitic acids, which accounted for about 96% of total fatty acids. Of note, higher amounts of saturated fatty acids (24.8%) and lower amount of unsaturated fatty acids (75.2%) were observed in BKCR than in the other rice cultivars. Two brown-colored rice cultivars, BCR and BCWR, possessed higher amounts of linoleic acid (40.8% and 42.1%, respectively) than did the other cultivars. The highest level of ${\alpha}$-tocopherol was found in WCR (51.3mg%), followed by BKCR (38.6mg%), BCWR (37.2 mg%), and BCR (34.5mg%). Free amino acid analysis showed that aspartic and glutamic acids were major amino acids of all cultivars, whereas phenylalanine, lysine, and histidine were minor. Particularly, relatively higher contents of aspartic and glutamic acids were found in BKCR, while relatively higher levels of alanine and ${\gamma}$-aminobutyric acid (GABA) were observed in BCR and BCWR. Also, BKCR had the highest phenolic content and antioxidant activity of any cultivar, followed by the two brown-colored rice cultivars and WCR. These results suggested that the new brown rice cultivars may possess quality characteristics intermediate between those of WCR and BCR.

Algorithm for Discrimination of Brown Rice Kernels Using Machine Vision (기계시각을 이용한 현미의 개체 품위 판별 알고리즘 개발)

  • 노상하;황창선;이종환
    • Journal of Biosystems Engineering
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    • v.22 no.3
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    • pp.295-302
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    • 1997
  • An ultimate purpose of this study was to develop an automatic system for brown rice quality inspection using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor magnifying the input image and optical fiber for oblique lightening. Primarily, geometical and optical features of images were analyzed with paddy and the various brown rice kernel samples such as a sound, cracked, peen-transparent, green-opaque, colored, white-opaque and brokens. Secondary, geometrical and optical parameters significant for identifying each rice kernels were screened by a statistical analysis(STEPWISE and DISCRIM procedure, SAS wer. 6) and an algorithm fur on- line discrimination of the rice kernels in static state were developed, and finally its performance was evaluated. The results are summarized as follows. 1) It was ascertained that the cracked kernels can be detected when e incident angle of the oblique light is less than 2$0^{\circ}C$ but detectivity was significantly affected by the angle between the direction of the oblique light and the longitudinal axis of the rice kernel and also by the location of the embryo with respect to the oblique light. 2) The most significant Parameters which can discriminate brown rice kernels are area, length and R, B and r values among the several geometrical and optical parameters. 3) Discrimination accuracies of the algorithm were ranged from 90% to 96% for a sound, cracked, colored, broken and unhulled, about 81 % for green-transparent and white-opaque and 75 % for green-opaque, respectively.

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Changes of Anthocyanidin, Growth Characteristics and Brown Rice Yield of Red Colored Rice at Two Region of Eastern Coast in Gyeongsangbuk-do Province

  • Kim, Sang-Kuk;Kim, Se-Jong;Shin, Jong-Hee
    • Korean Journal of Plant Resources
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    • v.30 no.3
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    • pp.318-322
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    • 2017
  • The study was carried out to determine the changes of growth characteristics, anthocyanidin, and brown rice yield grown at coast and inland areas apart from the east coastline of Gyeongsangbuk-do province. Number of spikelets per panicle was much more increased in inland area. Regional difference in number of spikelets per panicle was observed in Jeongjinju cultivar. Among these red rice cultivars, the highest brown rice yield was Jeongjinju rice cultivar having 702 kg in inland area and 692 ㎏ in coast area, respectively. Anthocyanidin content ranged 524 to $610{\mu}g/g$ dry weight basis. Cyanidin content was 11.4 to 14.0 times higher than that of delphinidin under coast and inland area. Anthocyanidin content was higher in rice cultivar grown at coast area. Highest head brown rice rate was only observed in Geonganghongmi to 95.2 at coast area and 95.4 inland area. In considering brown rice yield and pigment content, Hongjinju rice cultivar was recommended in optimal pigment rice cultivar in eastern coast of Gyeongsangbuk-do Province.

On-line Inspection Algorithm of Brown Rice Using Image Processing (영상처리를 이용한 현미의 온라인 품위판정 알고리즘)

  • Kim, Tae-Min;Noh, Sang-Ha
    • Journal of Biosystems Engineering
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    • v.35 no.2
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    • pp.138-145
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    • 2010
  • An on-line algorithm that discriminates brown rice kernels on their echelon feeder using color image processing is presented for quality inspection. A rapid color image segmentation algorithm based on Bayesian clustering method was developed by means of the look-up table which was made from the significant clusters selected by experts. A robust estimation method was presented to improve the stability of color clusters. Discriminant analysis of color distributions was employed to distinguish nine types of brown rice kernels. Discrimination accuracies of the on-line discrimination algorithm were ranged from 72% to 85% for the sound, cracked, green-transparent and green-opaque, greater than 93% for colored, red, and unhulled, about 92% for white-opaque and 67% for chalky, respectively.