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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>
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>
능동학습을 통한 우수한 기계적 특성을 가지는 제올라이트 구조의 발견
김남중(Namjung Kim),민경민(Kyoungmin Min) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
In this work, a Bayesian active learning platform is developed for the accelerated discovery of mechanically superior zeolites structures from more than half a million hypothetical candidates. An initial database containing the mechanical properties of experimentally synthesizable zeolite structures was constructed to train the machine learning regression model. Then, a Bayesian optimization scheme is utilized to identify zeolites with potentially superior mechanical properties. The iteratively updated database consists of 876 labeled zeolite structures, and the uncertainty of the predictive model in terms of the standard deviation is reduced by 40% and 58% for the bulk and shear moduli, respectively. A rigorous study of the model convergence shows that no further improvement occurs after the 10th iteration in which labeled data is gradually added. The proposed platform is able to discover 23 new zeolite structures that have unprecedented shear moduli, including the superior shear modulus (127.81 GPa) which is 250% higher than those in the initial dataset. The proposed platform enhances the predictive accuracy of the mechanical properties of zeolites, and the proposed framework based on Bayesian active learning accelerates the material discovery process while maximizing computational efficiency.