• Korean Journal of Food Science and Technology
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• v.36 no.1
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• pp.9-13
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• 2004

Effective methods for extraction of hot taste component in red (capsaicin) and black (piperine) peppers and simultaneous HPLC analysis were established to estimate level of peppers used. Capsaicin and pipeline contents of red and black peppers were 48.75-87.58 and 2900-5520 mg/100 g, respectively, Contents of capsaicin and pipeline in ramen soup base were $2.47{\pm}1.49mg/100g$ and $46.20{\pm}16.10mg/100g$, and estimated levels of red and black peppers were $4.02{\pm}2.37%$ and $1.23{\pm}0.43%$, respectively, In bowl ramens contents of capsaicin and pipeline were $2.02{\pm}1.18mg/100g$ and $41.98{\pm}23.12mg/100g$, and estimated levels of red and black peppers were $3.28{\pm}1.92%$ and $1.09{\pm}0.60%$, respectively. Capsaicin and piperine contents of hot ramens were $4.83{\pm}2.69 mg/100 g$ and $69.49{\pm}20.03mg/100g$, and estimated levels of red and black peppers were $8.62{\pm}4.42%$ and $1.79{\pm}0.58%$, respectively. In bibimmen, capsaicin content was $14.29{\pm}5.72mg/100g$, and piperine was not detected, an indication that only red pepper was used as hot condiment.

• Journal of Korea Water Resources Association
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• v.57 no.8
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• pp.533-548
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• 2024

Due to climate change with extreme weather events, occurrences of unprecedented heavy rainfall have become more frequent. Since it is difficult to perfectly predict and prevent flood damages, the limitation of traditional prevention-centered approaches has come a issue. The concept of "resilience" has therefore been developed which emphasizes the ability to swiftly recover from damages to previous states or to even better conditions. In this study, we 1) developed a total of 20 domestic flood resilience indicators based on the 4R principles (Redundancy, Robustness, Rapidity, Resourcefulness), 2) conducted applicability evaluations targeting specific disaster-prone areas, and 3) assessed the importance of each indicator through Analytic Hierarchy Process (AHP) analysis with flood-related experts. To confirm the suitability of the developed flood resilience indicators, multicollinearity analysis was performed, and the results indicated that all 20 indicators had tolerance limits above 0.1 and Variance Inflation Factors (VIF) below 10, demonstrating suitability as factors. Furthermore, evaluations of proposed indicators were carried out targeting disaster-prone areas in 2022(21 areas), and AHP analysis was utilized to determine the relative importance of each indicator. The analysis revealed that the importance of each indicator was as follows: Robustness 0.46, Rapidity 0.22, Redundancy 0.17, and Resourcefulness 0.16, with Robustness exhibiting the highest importance. Regarding the sub-indicators that had the greatest influence on each 4R component, river embankment maintenance emerged as the most influential for Robustness, healthcare services for Rapidity, fiscal autonomy of local governments for Resourcefulness, and drainage facilities for Redundancy.