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( Taehwan Lim ),( Hana Jung ),( Keumtaek Hwang ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.11
Cyanidin-3-glucoside (C3G) has been known to be more bioavailable than cyanidin-3- rutinoside (C3R), the most abundant anthocyanin in black raspberry (Rubus occidentalis). The aim of this study was to enhance the bioavailability of anthocyanins in black raspberry by cleaving L-rhamnose in C3R using crude enzyme extracts (CEEs) from Aspergillus usamii KCTC 6956, A. awamori KCTC 60380, A. niger KCCM 11724, A. oryzae KCCM 12698, and A. kawachii KCCM 32819. The enzyme activities of the CEEs were determined by a spectrophotometric method using ρ-nitrophenyl-rhamnopyranoside and ρ-nitrophenyl-glucopyranoside. The CEE from A. usamii had the highest α-L-rhamnosidase activity with 2.73 U/ml at 60oC, followed by those from A. awamori and A. niger. When bioconversion of C3R to C3G in black raspberry was analyzed by HPLC-DAD, the CEEs from A. usamii and A. awamori hydrolyzed 95.7% and 95.6% of C3R to C3G, respectively, after 2 h incubation. The CEEs from A. kawachii and A. oryzae did not convert C3R to C3G in black raspberry.
최태환(Taehwan Choi),신은수(Eunsoo Shin),유다영(Dayoung You),이회림(Hoirim Lee),나재영(Jayeong Na),이동희(Donghee Lee),임철용(Chulyong Lim),남우철(Woochal Nam) 국방로봇학회 2023 국방로봇학회 논문집 Vol.2 No.4
Most prosthetic hands cannot automatically control their gripping motions according to target objects; users need to manually select gripping motion. To address this problem, this study integrated a vision system with the prosthetic hand to autonomously detect an object to grip and conduct a suitable grip motion. The users vision was replaced with a laser pointer and mini-cam. The user needs to indicate a target object with the laser pointer. Then, the object detection model (YOLOv5) discerns the object class and determines the gripping motion corresponding to the class. To improve the object detection accuracy, various image processing methods are applied to the detection model. Moreover, a public robot hand design (Handi-hand) was significantly modified to realize precise and robust grip motions. Actuators, joints, and stiffness components in the robot fingers were replaced with different devices for high gripping performance, and the part design was changed accordingly. The unmovable wrist was also changed to an active wrist that is controlled by a servo motor. The gripping time was determined by the user’s electromyography signals. In experiments, this prosthetic hand successfully grasped four different objects.