• Journal of Plant Biotechnology
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• 제42권3호
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• pp.257-264
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• 2015

본 연구에서는 식물조직배양기법을 통해 생산된 부정근과 이들의 표준 한약자원 약용부위에서 추출된 전세포추출물의 FT-IR스펙트럼 분석을 통해 대사체 수준에서의 동등성을 비교 분석함으로써 보다 안전하고, 균일한 한약자원 약용부위의 대체 공급수단을 개발하고자 하였다. 이를 위해 대표적인 한약자원 품목인 백수오(Cynanchum wilfordii), 백출(Atractylodes japonica), 하수오(Polygonum multiflorum), 그리고 황기(Astragalus membranaceus) 등 4 종류 약용식물의 표준 한약자원 약용부위와 기내에서 생산된 이들의 부정근들을 FT-IR 분석에 사용하였다. FT-IR 스펙트럼 데이터의 PCA (principal component analysis)와 PLS-DA (partial least square discriminant analysis) 분석결과 백수오와 황기의 표준 약용부위 시료들 사이에서 전체 대사체 패턴이 매우 유사함을 알 수 있었다. 특히 이들 한약자원 품목들의 경우 기내생산 부정근 시료들과도 전체 대사체 패턴이 매우 유사함을 알 수 있었다. 본 결과로 미루어볼 때 백수와 황기의 경우 기내에서 대량생산된 부정근이 이들 한약자원 품목의 약용부위에 대한 새로운 공급수단으로 활용이 가능함을 보여주는 결과라 사료된다. 그러나 백출과 하수오의 부정근 시료들의 경우 전체 대사체 패턴이 이들의 표준 약용부위 시료들과 차이를 보였다. 또한 본 연구를 통하여 다양한 한약자원 품목들의 약용부위 시료들로부터 빠르고 간편하게 전체 대사체 수준에서 유사도 비교가 가능함을 알 수 있었다. 따라서 본 연구에서 확립된 FT-IR 스펙트럼기반 다변량통계분석 기술은 다양한 한약자원 약용부위 시료들의 대사체 수준 동등성을 식별하는 수단으로 활용이 가능할 것으로 기대된다. 더 나아가 본 기술이 한약자원품목들의 성분 표준화에 크게 기여할 수 있을 것으로 사료된다.

• Journal of Plant Biotechnology
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• 제45권3호
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• pp.250-256
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• 2018

한약자원 약용부위와 대사체 수준에서 동등성이 규명된다면 식물조직배양을 통한 약용자원의 대량증식은 한약자원 약용부위의 보다 안전하고, 지속적인 대체 공급수단으로 활용이 가능하다. 따라서 본 연구에서는 기원 검증이 이루어진 백수오 약용부위와 동일조직에서 유래된 부정근으로부터 전세포추출물의 FT-IR스펙트럼 분석을 통해 대사체 수준에서의 동등성을 비교분석함으로써 한약자원 약용부위의 대체 공급수단으로 활용 가능성을 검증하고자 하였다. 식물생장조절제인 IBA 농도별 백수오 부정근의 생장률 분석 결과 5 mg/L IBA 첨가 배지에서 백수오 부정근 증식이 가장 우수하였다. SA 처리의 경우 처리 농도가 증가함에도 불구하고 백수오 부정근의 생장에는 차이가 없었지만, MeJA 처리시 농도가 높아질수록 부정근이 갈변되고 생장이 감소하였다. Elicitor 처리된 백수오 부정근 및 표준 약용부위 시료로부터 FT-IR 스펙트럼 데이터의 PCA 와 PLS-DA 분석결과 $400{\mu}M$ MeJA를 제외한 모든 처리구에서 백수오 기내 생산 부정근과 표준 약용부위 시료들 사이에서 전체 대사체 패턴이 매우 유사함을 알 수 있었다. 따라서 본 연구에서 확립된 FT-IR 스펙트럼기반 다변량통계분석 기술은 다양한 한약자원 약용부위 시료들의 대사체 수준 동등성을 신속하게 식별하는 수단으로 활용이 가능할 것으로 기대된다.

• 원예과학기술지
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• 제32권1호
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• pp.105-114
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• 2014

본 연구에서는 UV-VIS spectrophotometer를 이용한 total carotenoids, flavonoids, phenolics 함량 데이터와 FT-IR 스펙트럼 데이터를 다변량통계분석법을 통하여 기능성 성분 함량이 높은 아프리칸 얌 고속 선발 시스템을 구축하였다. 62개 아프리칸 얌의 total carotenoids 함량은 $0.01-0.91{\mu}g{\cdot}g^{-1}$ dry wt 나타냈다. Total flavonoids와 phenolics 함량은 $12.9-229.0{\mu}g{\cdot}g^{-1}$ dry wt와 $0.29-5.2mg{\cdot}g^{-1}$ dry wt로 각각 나타났다. 아프리칸 얌은 FT-IR 스펙트럼상의 1700-1500, 1500-1300, $1,100-950cm^{-1}$, 부위에서 중요한 스펙트럼 변화가 나타났다. 이 부위는 각각 amide I과 II을 포함하는 아미노산 및 단백질계열의 화합물, phosphodiester group을 포함한 핵산 및 인지질 그리고 단당류나 복합 다당류를 포함하는 carbohydrates 계열의 화합물들의 질적, 양적 정보를 반영하는 부위이다. PCA 분석과 PLS-DA 분석에서 62개 아프리칸 얌은 유연성이 높은 종으로 3개의 그룹을 형성하였다. 아프리칸 얌의 FT-IR 스펙트럼 데이터와 UV-VIS spectrophotometer을 이용한 total carotenoids, flavonoids, phenolics 함량 데이터 간에 PLS regression 분석하였다. Total carotenoids, flavonoids, phenolics 함량 성분의 실측 값과 예측 값간에 상관계수($R^2$)가 각각 0.83, 0.86, 0.72로 나타났다. 이 결과, 아프리칸 얌으로부터 FT-IR 스펙트럼을 이용한 total carotenoids, flavonoids, phenolics 함량 예측이 가능하였다. 본 연구에서 확립된 대사체 수준에서 아프리칸 얌의 유용 기능성 성분 함량 예측 모델링을 통해 품종, 계통의 신속한 선발 수단으로 활용이 가능할 것으로 예상된다.

• 한국환경농학회지
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• 제34권3호
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• pp.186-191
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• 2015

BACKGROUND: Carotenoids which are a major source of vitamin A are contributed to have great potential role in anti-carcinogenic effects and eyesight. Carotenoids which can not synthesize in human body are required for food supply. The objectives of this study are to investigate compositions and contents of pumpkin (Cucurbita spp.) germplasms based on their pulp color. METHODS AND RESULTS: Carotenoids were extracted with 0.2% ascorbic acid in ethanol and saponified with 80% potassium hydroxide. Insoluble compounds were extracted into hexane. A total of nine carotenoids (three xanthophylls and six carotenes) were identified from pumpkin germplasms using HPLC equipped with photodiode array detector (450 nm). Especially, lutein and ${\beta}$-carotenes were major compound in germplasms. Among isomers of ${\beta}$-carotene, all-trans-${\beta}$-carotene (16-27% of total carotenoids) was predominant compositions. The mean of total carotenoid contents was showed as brown (286.1 mg/100 g dw) > dark green (217.0) > orange (153.4) > primrose (85.8) > dark yellow (80.3). On the basis of carotenoid information, PLS-DA score plots showed different patterns by cluster in pumpkin germplasms. It was considered that these differences of phenotype were relative closely to genotype. CONCLUSION: This study indicated that dark color of pumpkin pulp was presented in high-level of biological pigments. It may contribute to develop potentially beneficial functional food ingredients.

• 한국미생물학회:학술대회논문집
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• 한국미생물학회 2009년도 International Meeting of the Microbiological Society of Korea
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• pp.78-78
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• 2009

$^1H$ NMR spectroscopy coupled with multivariate statistical analysis was used for the first time to investigate metabolic changes in musts during alcoholic fermentation and wines during ageing. Three Saccharomyces cerevisiae yeast strains (RC-212, KIV-1116 and KUBY-501) were also evaluated for their impacts on the metabolic changes in must and wine. Pattern recognition (PR) methods, including PCA, PLS-DA and OPLS-DA scores plots, showed clear differences for metabolites among musts or wines for each fermentation stage up to 6 months. Metabolites responsible for the differentiation were identified to valine, 2,3-butanediol (2,3-BD), pyruvate, succinate, proline, citrate, glycerol, malate, tartarate, glucose, N-methylnicotinic acid (NMNA), and polyphenol compounds. PCA scores plots showed continuous movements away from days 1 to 8 in all musts for all yeast strains, indicating continuous and active fermentation. During alcoholic fermentation, highest levels of 2,3-BD, succinate and glycerol were found in musts with the KIV-1116 strain, which showed the fastest fermentation or highest fermentative activity of the 3 strains, whereas the KUBY-501 strain showed the slowest fermentative activity. This study highlights the applicability of NMR-based metabolomics for monitoring wine fermentation and evaluating the fermentative characteristics of yeast strains.

• 한국동물학회지
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• 제37권4호
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• pp.531-537
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• 1994

Partial internal amino acid sequences of the 15S ATPase from chick skeletal muscle were determined and found to be identical to the corresponding regions of the Mg2+_ATPase from Xenopus laevis oocytes, that is a close homolog of N-ethvlmaleimide-sensitive factor (called NSF) in hamster and Sec18p in yeast, both of which are believed to plaN an essential role in vesicle fusion in secretory process. Thus, the 15S Arpase in chick skeletal muscle maw also belong to a protein family of the "vesicle fusion proteins". Unlike the Mg2'-Afpase with an isoelectric point (pl) of 5.5, however, the 15S Arpase was separated into four spots with pls of 4.9,6.4 and 6.9 upon analysis by twoiimensional gel electrophoresis. In addition, the anti-15S ATPase IgG was found to be capable of interacting with the 265 protease complex upon analysis by immunoprecipitation. Moreover, immunoblot analysis revealed that the anti-155 Arpase IgG recognizes three subunits, ko of which show the same mobilities as the 510-kDa subunit 4 and 48-kDa subunit 7 of the 26S protease complex that are known to contain a highly consented ATP-binding motif. These results surest that a common antigenic site, likely the consensus nucleotide-binding site, exists in the 15S ATPase and the 26S pretense complex and hence both the enzymes maw also be related ATPases.d ATPases.

• Natural Product Sciences
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• 제24권3호
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• pp.164-170
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• 2018

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according to geographical origins. Three supervised pattern recognitions methods, partial least square discriminant analysis (PLS-DA), quadratic discriminant analysis (QDA) and radial basis function support vector machine (RBF-SVM), were performed to establish the classification models. The QDA and RBF-SVM models were performed based on principal component analysis (PCA). The number of principal components (PCs) was optimized by cross-validation in the model. The results showed that the performance of the QDA model is the optimum among the three models. The optimized QDA model was obtained when 7 PCs were used; the classification rates of the QDA model in the training and test sets are 97.8% and 95.2% respectively. The overall results showed that NIRS combined with supervised pattern recognition could be applied to classify Bupleuri Radix according to geographical origin.

• 유통과학연구
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• 제18권9호
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• pp.19-30
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• 2020

Purpose: As an environmental concern increases, customers pay more attention to purchase organic food. While customers' purchase intention of organic food has been widely studied, there are lacks of researches regarding the moderation effect of environmental concern and the interactive effect of level of education based on the Theory of Planned Behavior (TPB). This study examines the influence of level of education and environmental concern on purchase intention based on the Theory of Planned Behavior and organic food in Vietnam. Research design, data and methodology: The methodology of mixed methods of qualitative and quantitative is applied with a survey of 420 customers being conducted to collect data from three biggest cities in Vietnam: Ho Chi Minh, DaNang and Hanoi. SPSS 23 and SMART-PLS 3.2 are used for data analysis. Results: The result shows that the customers have more environmental concern which increases their attitude to the intention of purchasing organic food. Moreover, there has not the three-way interactive effect of level of education, environmental concern and attitude on purchase intention toward organic food. Conclusions: This enriches the existing literature with the moderation of environmental concern to the relationship between attitude and purchase intention toward organic food in Vietnam based on the Theory of Planned Behavior.

• 한국정보시스템학회지:정보시스템연구
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• 제26권2호
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• pp.43-62
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• 2017

Purpose This study provided empirical support for the model that explain the formation of privacy concerns in the perspective of Information Boundary Theory. This study investigated an integrated model suggesting that privacy concerns are formed by the individual's disposition to value privacy, privacy awareness, awareness of privacy policy, and government legislation. The Information Boundary Theory suggests that the boundaries of information space dependends on the individual's personal characteristics and environmental factors of e-commerce. When receiving a request for personal information from e-commerce websites, an individual assesses the risk depending on the risk-control assessment, the perception of intrusion give rise to privacy concerns. Design/methodology/approach This study empirically tested the hypotheses with the data collected in a survey that included the items measuring the constructs in the model. The survey was aimed at university students. and a causal modeling statistical technique(PLS) is used for data analysis in this research. Findings The results of the survey indicated significant relationships among environmental factors of e-commerce websites, individual's personal privacy characteristics and privacy concerns. Both individual's awareness of institutional privacy assurance on e-commerce and the privacy characteristics affect the risk-control assessment towards information disclosure, which becomes an essential components of privacy concerns.

• Journal of Information Technology Applications and Management
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• 제20권1호
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• pp.67-85
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• 2013

The emergence of RFID markets and development of various RFID-embedded mobile devices has brought fundamental changes to our lives. As the availability of RFID readers and tags that are implanted in smart phones and table PCs increases, information on RFID-affixed objects can be tracked wirelessly and this had open possibilities for B2B businesses to be run like B2C businesses. However, given the popularity of the RFID markets, there is limited research in this area. This paper serves to develop an extended technology acceptance model by Mobile RFID characteristics (perceived cost, security, instant connectivity, context awareness, and result demonstrability) examines the determinant factors that cause the acceptance of mobile RFID. To do so, the study conducted a survey targeting smart phone users and used the PLS path modeling, one of the structural equation models to verify the significance of research hypothesis. As a result, perceived cost, instant connectivity, context awareness, and result demonstrability turned out to have a real effect on intention to use mobile RFID by means of perceived usefulness and perceived ease of use. Security turned out to have a partial effect on intention to use mobile RFID by means of perceived usefulness or perceived ease of Use.