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Woo, Kyoungmin,Kang, Wonkyu,Lee, Kyungmin,Lee, Pilwoo,Kim, Yoonjae,Yoon, Tae-Sik,Cho, Chu-Young,Park, Kyung-Ho,Ha, Min-Woo,Lee, Hyun Ho Elsevier 2020 Biosensors & bioelectronics Vol.159 No.-
<P><B>Abstract</B></P> <P>In this study, high electron mobility transistor (HEMT) device was used as an immuno biosensor to measure concentration of a stress hormone, cortisol, by using selective binding on cortisol monoclonal antibody (c-Mab). Also, the HEMT sensor was enhanced in its sensitivity through light illumination to generate photocurrent. The optical pumping could assist the biosensor to discriminate more detailed change, which could result in an increment of limit of detection (LOD) to 1.0 pM cortisol level. It was the lowest level of detection with semiconductor device-based cortisol biosensors and the enhancement of surface potential sensitivity was induced by laser light (532 nm). Output current amplificated by photocurrent was higher than dark original current at about 3.39% when gate voltage is applied with −3 V. Since the device could be applied to not only standard cortisol solution but also real human salivary sample, it is expected to apply for <I>in vitro</I> direct diagnosis of point-of-care test (POCT).</P> <P><B>Highlights</B></P> <P> <UL> <LI> High electron mobility transistor (HEMT) sensor was demonstrated for a direct cortisol measurement using c-Mab immune-detection. </LI> <LI> The HEMT sensor could measure 1.0 pM levels of cortisol standard solution and in human salivary sample. </LI> <LI> Detection efficiency of cortisol was enhanced by optical pumping of AlGaN/GaN layer through laser illumination. </LI> </UL> </P>
Roh, Kyoungmin,Kim, Dong-Min,Lee, Eun Hee,Kim, Hyoseon,Park, Hyung Soon,Jang, Ja-Hyun,Hwang, Sang-Hyun,Kim, Dong-Eun The Royal Society of Chemistry 2015 Chemical communications Vol.51 No.32
<P>We propose a facile fluorometric system for detection of gene mutations using graphene oxide (GO). A fluorescent probe DNA anneals to a specific mutant gene and is degraded by the 5′→ 3′ exonuclease activity of <I>Taq</I> polymerase during PCR, and the released fluorophore retains fluorescence after addition of GO without quenching.</P> <P>Graphic Abstract</P><P>We propose a facile fluorometric system for detection of gene mutations using graphene oxide (GO). <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c5cc00263j'> </P>
기계학습을 이용한 신규 Double Perovskite 스크리닝
김준철(Joonchul Kim),민경민(Kyoungmin Min) 대한기계학회 2020 대한기계학회 춘추학술대회 Vol.2020 No.12
Double perovskite structures have brought a lot of attention due to their great potentials for applications of batteries, lighting-devices, and energy harvesting materials. In this study, machine learning algorithm is employed to search for new stable double perovskite materials. First, the materials properties are adopted from well-established Materials Project database to develop a prediction model for the formation energy and the convex hull energy. Then, the bagging and boosting based algorithms are implemented to train the database for regression as well as classification model and their prediction accuracy is compared. For prediction of the formation energy, it’s R2 and RMSE value reaches to 0.97 and 0.2020 eV/atom. In addition, the classification accuracy for the convex hull energy shows 0.76 with F1-score of 0.763. Finally, trained machine learning model is applied to the whole chemical space of the double perovskite structures and it exhibits that 8,613 structures are potentially stable to be synthesized. In the meanwhile, 25,062 and 19,766 structures are shown to be metastable and instable, respectively.