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양파 껍질에서 분리한 Xanthine Oxidase 저해물질 (Inhibitor of Xanthine Oxidase from Onion Skin)

  • 나경수;정수현;서형주;손종연;이효구
    • 한국식품과학회지
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    • 제30권3호
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    • pp.697-701
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    • 1998
  • 양파 껍질의 메탄올 추출물에 함유되어있는 플라보노이드류를 분리하고자 Sephadex LH-20 column chromatography를 한 결과, $F_1,\;F_2$ 두 개의 활성분획을 얻었다. $F_1$$F_2$ 분획의 자외선과 가시광선에서의 흡수 패턴을 측정하였다. $F_1$$F_2$ 분획의 band I과 band II는 전형적인 프라보놀의 피크 파장을 보였으며, $MeOH,\;NaOMe,\;AlCl_3,\;AlCl_3/HCl,\;NaOAc$$NaOAc/H_3BO_3$의 shift reagent를 이용한 흡수패턴을 측정한 결과, $F_1$ 분획은 3,5,7,3'-OH를 가지며 4' 위치에 glucose를 가지는 플라보놀로 확인이 되었다. $F_2$ 분획은 3(5),7,3',4'-OH를 가지는 플라보놀로 확인이 되었다. 두 분획의 분자량을 측정하고자 FAB mass를 이용한 결과, $F_1$ 분획의 경우 $m/z\;465\;(M+H)^+$로 quercetin monoglucoside에 해당되는 분자량을 보였으며, $F_2$ 분획은 $m/z\;303\;(M+H)^+$로 quercetin에 해당되는 분자량을 보였다. Quercetin 4'-glucoside와 quercetin으로 확인된 분획 $F_1$$F_2$에 의한 xanthine oxidase에 대한 저해기작은 비경쟁적과 무경쟁적 저해 형태가 서로 혼합되어 있는 형태이었다.

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R-CNN 기법을 이용한 지중매설물 제원 정보 자동 추출 연구 (A Study on Automatically Information Collection of Underground Facility Using R-CNN Techniques)

  • 박현석;홍기만;조용성
    • 한국재난정보학회 논문집
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    • 제19권3호
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    • pp.689-697
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    • 2023
  • 연구목적: 본 연구는 미니트렌칭 공법 적용 과정에서 범용 스마트폰을 이용하여 지중매설물의 정보를 자동 추출하는데 목적이 있다. 연구방법:이미지 학습을 위한 데이터 셋은 주야간, 높이, 각도 등의 다양한 조건에서 수집하였으며, 객체 검지알고리즘은 R-CNN 알고리즘을 이용하였다. 연구결과: 성능평가지표는 정확한 예측과 재현율의 평균을 동시에 고려할 수 있는 F1-Score를 적용하였으며, 학습결과 F1-Score는 0.76으로 나타났다. 결론: 본 연구의 결과는 스마트폰 기반의 지중매설물 정보 추출이 가능한 것으로 나타났으나, 학습데이터의 추가적인 확보와 현장 실증 등을 통해 알고리즘의 정밀성 및 정확성을 향상시킬 필요가 있을 것으로 판단된다.

웨어러블 생체신호 모니터링을 위한 스마트텍스타일센서의 분류 및 고찰 (The Classification and Investigation of Smart Textile Sensors for Wearable Vital Signs Monitoring)

  • 장은지;조길수
    • 한국의류산업학회지
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    • 제21권6호
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    • pp.697-707
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    • 2019
  • This review paper deals with materials, classification, and a current article investigation on smart textile sensors for wearable vital signs monitoring (WVSM). Smart textile sensors can lose electrical conductivity during vital signs monitoring when applying them to clothing. Because they should have to endure severe conditions (bending, folding, and distortion) when wearing. Imparting electrical conductivity for application is a critical consideration when manufacturing smart textile sensors. Smart textile sensors fabricate by utilizing electro-conductive materials such as metals, allotrope of carbon, and intrinsically conductive polymers (ICPs). It classifies as performance level, fabric structure, intrinsic/extrinsic modification, and sensing mechanism. The classification of smart textile sensors by sensing mechanism includes pressure/force sensors, strain sensors, electrodes, optical sensors, biosensors, and temperature/humidity sensors. In the previous study, pressure/force sensors perform well despite the small capacitance changes of 1-2 pF. Strain sensors work reliably at 1 ㏀/cm or lower. Electrodes require an electrical resistance of less than 10 Ω/cm. Optical sensors using plastic optical fibers (POF) coupled with light sources need light in-coupling efficiency values that are over 40%. Biosensors can quantify by wicking rate and/or colorimetry as the reactivity between the bioreceptor and transducer. Temperature/humidity sensors require actuating triggers that show the flap opening of shape memory polymer or with a color-changing time of thermochromic pigment lower than 17 seconds.

Morphological defects of sperm and their association with motility, fertility, and hatchability in four Korean native chicken breeds

  • Feyisa, Shiferaw Garoma;Park, Young Hyun;Kim, Young Min;Lee, Bo Ram;Jung, Kyung Min;Choi, Seong Bok;Cho, Chang Yeon;Han, Jae Yong
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권8호
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    • pp.1160-1168
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    • 2018
  • Objective: This study was conducted to compare morphological defects, viability, motility (MOT), fertility (F), and hatchability (H) in four Korean native chicken breeds (KNCBs), and to evaluate whether defective segments of spermatozoa are associated with MOT, F, and H. Methods: Four KNCBs, including Korean Ogye (KO), Hwangbong (HB), Hyunin Black (HH), and Hoengseong Yakdak (HY) were used. White Leghorn (WL) was used as a control. Nine cocks from each breed were randomly assigned into three groups. Semen was collected by abdominal massage method. Eosin-nigrosin staining method was used to identify live-dead spermatozoa. Different segments and specific morphological defects of spermatozoa were identified using 4', 6-diamidino-2-phenylidole and MitoTracker Red CMXRos. F and H rates were evaluated following artificial insemination (AI). Results: KO had the highest MOT rate compared to HY. Viable normal sperm rates of KO and HH were high and comparable with WL. HY spermatozoa had the highest viable abnormal sperm (VAS) or morphological defect rate followed by HB. Likewise, HB spermatozoa had the highest dead sperm (dead) rate compared to KO, HY, and WL. Bent, coiled, detached, broken, and knotted were common identified specific morphological defects for all breeds. Most morphological defects were at the head and tail in all breeds. VAS showed strong negative correlation with MOT (r = -0.697) and F (r = -0.609). Similarly, defective tail was negatively correlated with MOT (r = -0.587), F (r = -0.797), and H (r = -0.448). The F and H rates of KO and WL were comparable. Conclusion: These data indicate that most identified specific morphological defects are at the head and tail. VAS and defective tail were associated with poor motility, F, and H. KNCBs showed more morphological defects than WL. Finally, these results will facilitate successful AI and semen cryopreservation.

Optimized finite element model updating method for damage detection using limited sensor information

  • Cheng, L.;Xie, H.C.;Spencer, B.F. Jr.;Giles, R.K.
    • Smart Structures and Systems
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    • 제5권6호
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    • pp.681-697
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    • 2009
  • Limited, noisy data in vibration testing is a hindrance to the development of structural damage detection. This paper presents a method for optimizing sensor placement and performing damage detection using finite element model updating. Sensitivity analysis of the modal flexibility matrix determines the optimal sensor locations for collecting information on structural damage. The optimal sensor locations require the instrumentation of only a limited number of degrees of freedom. Using noisy modal data from only these limited sensor locations, a method based on model updating and changes in the flexibility matrix successfully determines the location and severity of the imposed damage in numerical simulations. In addition, a steel cantilever beam experiment performed in the laboratory that considered the effects of model error and noise tested the validity of the method. The results show that the proposed approach effectively and robustly detects structural damage using limited, optimal sensor information.

능동산의 양사면에서 식물 군락과 종 분포 (Plant Community and Species Distribution In Both Slopes of the Mt. Neungdong)

  • 허만규
    • 생명과학회지
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    • 제19권6호
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    • pp.693-697
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    • 2009
  • 본 조사는 능동산의 산림지 2곳에 대한 목본류의 다양성 양상을 조사하기 위해 12 plot $(100{\times}100 m)$를 설정하였다. 흉고직경 10 cm 이상의 목본류 2,157 그루를 동정한 결과 총 35과 135종이었다. 최소 유의성 차이(LSD)에서 지역 A (울주군 석남사 방향)가 지역 B (밀양시 얼음골 방향)보다 높았다. Shannon-Wiener의 다양성 지수에서 지역 A는 1.822, 지역 B는 2.118로 두 지역간 유의한 차이가 있었다(F=4.12, p<0.05). 곰솔-갈참나무군락이 두 지역에서 우점 하였다. 그러나 지역 A의 중간 고도는 소나무가 우점인 반면 지역 B의 중간 고도부위는 참나무속 식물군락과 서어나무군락이 우점 하였다. 공간 분포 분석에서 능동산의 동서지역의 식물상은 서로 이질적이며 미세기후와 패치(patchy)구조를 나타내었다.