• Microbiology and Biotechnology Letters
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• v.42 no.2
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• pp.162-169
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• 2014

In the course of study for the development of functional food using red beans (azuki beans, Phaseolus radiatus L.), the ethanol extracts from raw-red bean (RRB) and boiled-red bean (BRB) were prepared, and the components and various biological activities of both were compared. It was observed that the extraction yield, and the total polyphenol content, of the BRB were 1.2 times higher than that of the RRB. However, the contents of total flavonoid, total sugar and reducing sugar in the BRB were 30, 27.9 and 30.8% respectively when compared with those of RRB. In relation to antioxidative activity, both RRB and BRB exhibited moderate DPPH anion, ABTS cation, and nitrite scavenging activities and reducing power, though in all cases RRB demonstrated stronger activities than BRB. The extracts of RRB and BRB did not reveal any antimicrobial activities. In a ${\alpha}$-amylase inhibitory activity assay, RRB was higher than BRB, while BRB showed higher ${\alpha}$-glucosidase inhibitory activity than RRB. A strong and particular activity was observed in an anti-thrombosis activity assay of RRB. The extract of RRB demonstrated strong inhibitions against prothrombin and blood coagulation factors, with moderate thrombin inhibition. However, the extract of BRB did not exhibit any significant anti-thrombosis activity. Our results indicate that RRB has different, but useful biological activities, and loss or elimination of the biologically active substances in RRB occurs during the production of BRB. Therefore, to develop more functional foods from red beans, a study of suitable boiling, heating and drying processes is essential, and the efficient re-use of boiled waste water from the boiling process is necessary. These results could be applied to the further development of functional red bean beverages and sweat red bean pastes.

• Journal of Life Science
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• v.17 no.5 s.85
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• pp.728-734
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• 2007

In this study, we prepared surimi from pork leg and chicken breast by pH adjustments of 3.0 and 11.0. The content of crude protein, yield, water-holding capacity, redness, yellowness, myoglobin(Mb) and metmyoglobin(metMb) were significantly higher in the surimi manufactured from pork leg at adjustment pH 3.0 compared to the other surimi samples; whereas whiteness, myofibrillar protein, breaking force, deformation and gel strength were lower than other samples(P<0.05). The textural attributes were significantly higher in the surimi manufactured from pork leg at adjustment pH 11.0 compared to the other surimi samples; whereas Mb, metMb, cooking loss, breaking force, deformation and gel strength were lower than other samples(P<0.05). Again, the content of crude protein, yield, pH, breaking force, deformation, gel strength and lightness were significantly higher in the surimi manufactured from chicken breast at adjustment pH 3.0 compared to the other surimi samples; whereas myofibrillar protein, redness and metMb were higher than other samples(P<0.05). The content of myofibrillar protein, deformation, lightness and cohesiveness were significantly higher in the suriml manufactured from chicken breast at adjustment pH 11.0 compared to the other surimi samples; whereas Mb, cooking loss, yield and breaking force were higher than other samples(P<0.05). The chicken breast surimi had superior color and gel characteristics than manufactured from pork leg, and adjustment pH 11.0 had superior whiteness and cohesiveness than the pH 3.0 adjusted sample, however, there were no significant differences in sensory attributes among the surimi samples.

• Korean Journal of Remote Sensing
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• v.17 no.1
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• pp.33-44
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• 2001

The paper presents several satellite models and satellite image decomposition methods for inaccessible area where ground control points can hardly acquired in conventional ways. First, 10 different satellite sensor models, which were extended from collinearity condition equations, were developed and then behavior of each sensor model was investigated. Secondly, satellite images were decomposed and also pseudo images were generated. The satellite sensor model extended from collinearity equations was represented by the six exterior orientation parameters in $1^{st}$, $2^{nd}$ and $3^{rd}$ order function of satellite image row. Among them, the rotational angle parameters such as $\omega$(omega) and $\Phi$(phi) correlated highly with positional parameters could be assigned to constant values. For inaccessible area, satellite images were decomposed, which means that two consecutive images were combined as one image, The combined image consists of one satellite image with ground control points and the other without ground control points. In addition, a pseudo image which is an imaginary image, was prepared from one satellite image with ground control points and the other without ground control points. In other words, the pseudo image is an arbitrary image bridging two consecutive images. For the experiments, SPOT satellite images exposed to the similar area in different pass were used. Conclusively, it was found that 10 different satellite sensor models and 5 different decomposed methods delivered different levels of accuracy. Among them, the satellite camera model with 1st order function of image row for positional orientation parameters and rotational angle parameter of kappa, and constant rotational angle parameter omega and phi provided the best 60m maximum error at check point with pseudo images arrangement.