과열증기 조리에 따른 버섯의 기능성 성분 함량 및 잔존율에 미치는 영향

김다경(Dagyeong Kim),김민주(Minju Kim),강민정(Min-Jung Kang),김영화(Younghwa Kim) 한국식품영양과학회 2021 한국식품영양과학회지 Vol.50 No.8

본 연구에서는 국내 다소비 버섯 6종(양송이버섯, 팽이버섯, 만가닥버섯, 표고버섯, 새송이버섯, 느타리버섯)의 일반찜 및 과열증기 조리에 따른 수분함량, 수용성 비타민, 기능성 성분의 함량 변화를 알아보고 이에 대한 영양소 잔존율을 비교하였다. 버섯의 조리수율은 중량이 감소함에 따라 조리된 모든 버섯에서 감소를 나타내었다. 버섯 6종의 수용성비타민(비타민 B₁, 비타민 B₂, 비타민 B₃, 비타민 C)의 잔존율은 대부분 일반찜보다 과열증기 조리에서 높은 수준을 나타냈다. 과열증기 조리를 실시한 대부분의 버섯은 일반찜에 비해 유의적으로 높은 총 폴리페놀 및 플라보노이드 잔존율을 나타내었고, ABTS 및 DPPH 라디칼 소거능도 과열증기 조리 시 일반찜에 비해 높게 나타났다. 본 연구를 통해 일반찜과 과열증기 조리에 의한 국내 다소비 버섯 6종에 대한 수용성 비타민 및 기능성 성분 함량과 잔존율에 대한 변화를 알 수 있었으며, 과열증기 조리에 의한 식품 중 영양성분 및 기능성 성분의 잔존율에 대한 긍정적인 효과를 알 수 있었다. This study sought to investigate the effect of superheated steam on the contents and the true retention of bioactive compounds in mushrooms. The results showed that the true retention of water-soluble vitamins B1 (thiamin), B2 (riboflavin), B3 (niacin), and C (ascorbic acid) were higher in mushrooms after superheated steaming as compared to the conventional steaming method. The content of total polyphenols and flavonoids in the cooked mushrooms except for Hypsizygus tessellatus increased with both superheated steaming and conventional steaming methods as compared to uncooked mushrooms. Also, the true retention of total polyphenols and flavonoids in superheated steamed mushrooms was higher than the conventional method. In general, the contents and the true retention of ergothioneine and glucan were higher in mushrooms with superheated steaming compared to the conventional steaming method. The free radical scavenging activity of the superheated steamed samples except for Pleurotus eryngii increased compared to that of the conventional steamed samples. These results suggest that superheated steaming causes positive changes in the nutritional and functional components of mushrooms compared to conventional steaming.

에탄올로 유도된 간세포 손상에 대한 조리방법에 따른 자색고구마의 보호 효과

김윤정(Yoonjeong Kim),김다경(Dagyeong Kim),김나은(Naeun Kim),김영화(Younghwa Kim) 한국식품영양과학회 2023 한국식품영양과학회지 Vol.52 No.12

Present study aimed to investigate the effects of three methods, namely, steaming, roasting, and microwaving, of cooking purple sweet potatoes (Ipomoea batatas L.) on hepatoprotective effects against ethanol-induced oxidative stress in HepG2 cells. Vitamin B1 and B7 contents were altered more after steaming than microwaving. The methanolic extracts of raw and cooked purple sweet potato had no cytotoxic effects on HepG2 cells, and raw and steamed potatoes had the greatest cytoprotective effects against ethanol damage. All samples significantly inhibited the generation of reactive oxygen species against ethanol-induced stress after 60 min compared to ethanol-treated controls. Ethanol treatment increased the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and malondialdehyde (MDA). However, pretreatment with raw and/or steamed purple sweet potatoes significantly inhibited ALT, AST, and MDA levels. Moreover, pretreatment with raw or steamed purple sweet potato significantly increased glutathione S-transferase levels compared to ethanol treatment alone. Overall, these results suggest that purple sweet potatoes have potential use as a functional food ingredient to ameliorate ethanol-induced liver damage.

Impact assessment on sporadic and subtropical insect pests by climate change

Jaekun Kim,Hong-hyun Park,Kwang-Ho Kim,Dagyeong Jeong,Yong Hong 한국응용곤충학회 2023 한국응용곤충학회 학술대회논문집 Vol.2023 No.04

Optimization of a Pre-impact Fall Detection Algorithm and Development of Hip Protection Airbag System

Ahn, Soonjae,Choi, Dagyeong,Kim, Jongman,Kim, Seongjung,Jeong, Youngjae,Jo, Min,Kim, Youngho MYU K.K. 2018 Sensors and materials Vol.30 No.8

<P>In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls. Four different types of simulated falls were performed by 20 healthy volunteers (age 23.4 +/- 4.4 years), and six different daily activities were tested in 14 elderly subjects (age 71.8 +/- 4.0 years). An inertial sensor unit was used to measure acceleration, angular velocity, and vertical angle during all activities. Thresholds of 0.9 g acceleration, 47.3 degrees/s angular velocity, and 24.7 degrees vertical angle were determined on the basis of optimizing lead time and accuracy in pre-impact fall detection. A belt-type airbag system consisted of a polyurethane inner skin, an artificial leather outer shell, and a spring-trigger inflator. To evaluate the accuracy of the airbag system, 10 healthy adult males (age 28.5 +/- 2.7 years) wore the system and performed three sets of simulated falls. Fall detection was achieved 401.9 +/- 46.9 ms before impact on average, and the airbag inflated without fail during the falls (100% sensitivity). In all daily activities, no airbag inflation occurred (100% specificity).</P>

Optimization of a Pre-impact Fall Detection Algorithm and Development of Hip Protection Airbag System (S & M 1631)

Ahn, Soonjae,Choi, Dagyeong,Kim, Jongman,Kim, Seongjung,Jeong, Youngjae,Jo, Min,Kim, Youngho SCIENTIFIC PUBLISHING DIVISION MYU 2018 Sensors and materials Vol.30 No.8

Eco-friendly control of Bemisia tabaci using insecticide-treated tobacco plant in tomato greenhouse cultivation

Leesun Kim,Yeyeon Kwak,Mi-Ja Seo,Dagyeong Jeong,In-hong Jeong 한국응용곤충학회 2023 한국응용곤충학회 학술대회논문집 Vol.2023 No.10

This study aimed to develop a new eco-friendly control method of B. tabaci using a trap plant treated with systemic insecticide. Due to high preference, tobacco plant was selected as a trap plant among solanaceous plants. Out of all 6 systemic insecticides, dinotefuran WG showed the highest mortality (> 97.3 %) against B. tabaci. The concentrations of dinotefuran in tobacco leaves after systemic treatment showed the sharp increase in the pesticide from 2 hrs until 48 hrs (2 d) and steady increase over 35 d. The mortality of B. tabaci in tobacco leaves was about 80% at 9 hrs after treatment and over 90% at 1, 2, 3, 6, 9, and 35 d after treatment. The number of B. tabaci was counted every week after dinotefuran-treated tobacco pots were placed in the tomato greenhouse cultivation. The density of the insects with 3 tobacco plants was app. 75% lower than the control (w/o tobacco plant).

Control of Bemisia tabaci in Greenhouse Tomato using Systemic Insecticide-treated Trap Plant

Leesun Kim,Meeja Seo,Dagyeong Jeong,Bo Yoon Seo,Jonghwa Lee,In-hong Jeong 한국농약과학회 2023 농약과학회지 Vol.27 No.4

This study aimed to develop a new control method of Bemisia tabaci using a tobacco plant treated with systemic insecticide in tomato greenhouse cultivation. In the preference tests, it was demonstrated that tobacco is a better B. tabaci attractant than the seven tested solanaceous plants. Most importantly, B. tabaci prefers tobacco (65%) to the main host plant, tomato (35%). Among 6 systemic insecticides, dinotefuran WG was highly effective (mortality > 97.3%) against B. tabaci and exhibited less or non-disruptive tendency on insect behavior on dinotefuran-treated tobacco plants. The dinotefuran concentrations in tobacco leaves obtained using modified QuEChERS method with liquid tandem mass spectrometry rapidly increased over time, and mortality of B. tabaci populations recovered from tobacco leaves was over 90% within 24 hrs after insecticide treatment. The mortalities were consistently over 90 to 100% until 35 d. The upper leaves of tobacco showed slightly higher concentration of insecticide, including the resultant B. tabaci mortalities than the lower leaves. Compared with that of greenhouse with no tobacco plants (100%), the population of B. tabaci in greenhouses with two and three insecticide-treated tobacco plants increased by 53%-63% and 22% respectively. These results confirmed that a dinotefuran-treated tobacco plant can be an effective trap plant for the control of B. tabaci in tomato cultivation greenhouses.

Knee Acoustic Emission Characteristics of the Healthy and the Patients with Osteoarthritis Using Piezoelectric Sensor

Choi, Dagyeong,Ahn, Soonjae,Ryu, Jeseong,Nagao, Mitsuo,Kim, Youngho MYU K.K. 2018 Sensors and materials Vol.30 No.8

<P>Osteoarthritis (OA) is one of the most common causes of disability in elderly individuals. Although X-rays, MRIs, and arthroscopy are widely used to examine OA, they do not provide dynamic information on activity-based joint integrity. In this study, acoustic emission (AE) in healthy individuals and OA patients was determined using piezoelectric sensors. Twenty normal subjects and fourteen OA patients were asked to perform weight-bearing (stand-to-sit) and non-weight-bearing (extension to flexion) exercises for 4 s each. Sensors were attached to the medial and lateral epicondyles of the tibia and the front of the patella. An AE event was defined as the threshold crossing based on AE signals. The results indicated that OA and healthy groups exhibited signals at a frequency range corresponding to approximately 100 Hz-10 kHz and less than 1 kHz, respectively. The OA group exhibited an amplitude of AE signals and a number of AE events that exceeded those of the healthy group (p < 0.05). AE signals from lesions exhibited a higher dB value and a larger number of AE events than those at other locations. However, most patients exhibited significant increases in AE signal characteristics at the front of the patella. The results of this study can be helpful in the early diagnosis or easy monitoring of knee OA in daily lives.</P>

A Survey of Physics-Informed Neural Networks in Vision Generation

Youjin Kim(김유진),DaGyeong Na(나다경),Hongchan Yoon(윤홍찬),JunSeok Kwon(권준석) 대한전자공학회 2024 대한전자공학회 학술대회 Vol.2024 No.6

The field of computer vision has seen remarkable advancements in the domain of generative tasks. These advancements have facilitated the creation of diverse images from complex input data. However, traditional data-driven generative models often fall short in terms of robustness and interpretability, particularly when faced with the challenges of high-dimensional image data and noisy or insufficient training datasets. These limitations are especially problematic in tasks requiring the simulation of physical phenomena, as these models typically generate outputs that may not be physically plausible. Physics-Informed Neural Networks (PINNs) have emerged as a potent solution to these deficiencies, integrating physical laws directly into the learning process to enhance both the accuracy and generalizability of model predictions. This paper explores the application of PINNs in various computer vision generation tasks, highlighting their utility in generating visually plausible content that adheres to realistic physical constraints. This review explores how incorporating physical laws into GANs and DDPMs, as illustrated in various research studies, addresses the shortcomings of traditional generative models, facilitating more dependable and physically accurate visual simulations across a range of applications. The merging of physics and machine learning in these instances not only stabilizes the training processes but also enhances the fidelity and robustness of generated images. Such insights underscore the broad potential of physics-informed methodologies in advancing computational vision systems, showing that these approaches are instrumental in refining the capabilities of generative models.

Genetics structure and molecular diversity of Spodoptera exigua based on mitochongrial COI gene sequences

In-Hong Jeong,Leesun Kim,Gwan-seok Lee,Dagyeong Jeong,Na Ra Jeong,Wonhoon Lee 한국응용곤충학회 2023 한국응용곤충학회 학술대회논문집 Vol.2023 No.04