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- 저자 : Reddy B. Dinesh (검색결과 3 건)
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Singh, Chandan,Ali, Md. Azahar,Reddy, Venu,Singh, Dinesh,Kim, Cheol Gi,Sumana, G.,Malhotra, B.D. Elsevier 2018 Sensors and actuators. B, Chemical Vol.255 No.3
<P><B>Abstract</B></P> <P>A sensitive and selective microfluidic immunochip was fabricated for detection of <I>Salmonella typhimurium</I> (<I>S. typhimurium</I>) bacterial cells. In this sensor, graphene oxide (GO) nano sheets wrapped carboxylated multiwalled carbon nanotubes (cMWCNTs) composite acted as a transducer material. The colloidal solution of GO-cMWCNTs composite was selectively deposited onto patterned indium tin oxide (ITO) electrode and sealed with polydimethylsiloxane (PDMS) micro channels. The <I>S. typhimurium</I> antibodies (StAb) were <I>in situ</I> biofunctionalized followed by EDC-NHS covalent chemistry <I>via</I> amidation reaction. The presence of abundant functional groups at the GO-cMWCNTs composite improved the loading of antibodies (StAb) against <I>S</I>. <I>typhimurium</I> leading to improved biosensing characteristics. Wrapping of cMWCNTs with GO resulted in superior electron transfer behavior enhancing the sensitivity (162.47μA/CFU<SUP>−1</SUP>/mLcm<SUP>−2</SUP>) almost two folds as compared to that based on GO (89.16μA/CFU<SUP>−1</SUP>/mLcm<SUP>−2</SUP>) sheets for bacterial cells detection. Besides this, GO wrapped cMWCNTs integrated microfluidics biosensor offered low detection limit as 0.376 CFU/mL and negligible interference due to presence of <I>Escherichia coli</I> (<I>E. coli</I> (O157:H7).</P> <P><B>Highlights</B></P> <P> <UL> <LI> Microfluidic Electrochemical immunosensor for <I>Salmonella typhimurium</I> detection designed using soft lithography technique. </LI> <LI> Graphene Oxide (GO) wrapped caboxylated multiwalled carbon nanotubes (cMWCNTS) used as a transducer material for highly sensitive detection of <I>Salmonella typhimurium</I>. </LI> <LI> Wrapping of cMWCNTs with GO leads to improved electrochemical performance of the composite as compared to GO, most probably due to the synergistic effect. </LI> <LI> The functional groups available on GO and cMWCNTS were utilized for antibody functionalization using carbodiimide coupling using EDC-NHS chemistry results into the improved detection range. </LI> <LI> The designed microfluidic immunosensor utilized to detect <I>Salmonella typhimurium</I> with negligible interference in presence of potential inteferent like <I>E. Coli</I>. </LI> </UL> </P>
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Big Data Service Design :Collection to Analysis in the Cloud Computing Ecosystem
D. Jaswanth,B. Dinesh Reddy 차세대컨버전스정보서비스학회 2021 Journal of Digital Media & Culture Technology Vol.1 No.1
As one of the leading evolutionary trajectories in the information domain, big data innovation has profound applicability for information mining, data analysis, and data sharing within voluminous datasets. It leverages the latent value of data to generate substantial economic benefits while informing decision-making strategies for socio-economic development. Big data solution design, a novel service model that views data as a resource, orchestrates the collection and processing of datadiverse sources. This paper aims to provide a concise overview of the essential elements of big data solution design and its technical processing framework with a focus on data collection and storage. For this, this paper embarks on a comprehensive review of big data processing and analysis strategies, cognizant of the distinct service requirements that aim to provide invaluable information to solution consumers. It then presents an all-inclusive cloud computing solution system predicated on big data with a summary of a variety of big data application scenarios across disparate fields.
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Bhaskar P. Sai,Reddy B. Dinesh 차세대컨버전스정보서비스학회 2022 Journal of Digital Media & Culture Technology Vol.2 No.1
Amidst the rapid technological advancements, big data has emerged as a crucial component in healthcare transformation, influencing clinical operations, pharmaceutical R&D and personalized treatments. The Chinese government has proactively responded to this trend by promoting and standardizing big data applications in healthcare. In this regard, the purpose of this study is to explore the evolution and implications of big data in healthcare with a specific focus on the medical data management in China. For this, this study uses a survey-based approach and proposing a risk assessment index system to underline the significance of big data and cloud resources. Findings indicates that areas such as data analysis, diagnosis processes and lack of protection are the most at risk. Sidelegislation, healthcare providers, insurers and other entities handling medical data need to be educated on the importance of data privacy and the procedures to maintain it.
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