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- 저자 : Amit Bhardwaj (검색결과 4 건)
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Bhardwaj, Sanjeev K.,Bhardwaj, Neha,Kaur, Rajnish,Mehta, Jyotsana,Sharma, Amit L.,Kim, Ki-Hyun,Deep, Akash The Royal Society of Chemistry 2018 Journal of Materials Chemistry A Vol.6 No.31
<P>Metal-organic frameworks (MOFs) are known to possess many interesting material properties such as high specific surface area, tailorable porosity, adsorption/absorption capabilities, post-synthetic modifications, and chemical/thermal stabilities. Because of these unique features, they have been explored for the development of sensors for a variety of analytes. A large proportion of pre-existing MOF-based sensors are well suited for optical transductions due to a lack of electrical conduction in their pristine forms. Hence, the development of MOF-based electrochemical/electrical sensors requires specialized strategies through which MOFs are modified or hybridized with enhanced conductive moieties (<I>e.g.</I>, <I>via</I> doping or post synthetic modification). In this review article, we provide a comprehensive review of various synthetic and integrating strategies to improve electrical conductivity and long-range charge transport properties in MOFs. To this end, we have compiled details of different techniques that have been used to develop electrically/electrochemically active platforms for MOF-based sensing of various targets.</P>
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A three-phase copper MOF-graphene-polyaniline composite for effective sensing of ammonia
Bhardwaj, Sanjeev K.,Mohanta, Girish C.,Sharma, Amit L.,Kim, Ki-Hyun,Deep, Akash Elsevier 2018 Analytica chimica acta Vol.1043 No.-
<P><B>Abstract</B></P> <P>In this work, a three-phase composite material consisting of SiO<SUB>2</SUB>-coated Cu-MOF, single layer graphene, and aniline was synthesized. In the presence of ammonium persulfate as an oxidant, the aniline component of this mixture was polymerized to polyaniline to bridge Cu-MOF and graphene in the composite. Hence, a new sensory material with a highly porous nature (MOF) and superior conduction properties (graphene/polyaniline) was constructed. More specifically, the inclusion of Cu-MOF in the matrix facilitated the acquisition of an electrochemically active sensory material with a high surface area of about 756 m<SUP>2</SUP>/g. The potential application of this porous semiconducting material was demonstrated for sensitive detection of ammonia in a linear detection range over 1–100 ppm with a low limit of detection of 0.6 ppm.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Composites of MOFs with graphene have been actively explored for the adsorption of small molecules. </LI> <LI> The improved performance of such composites is demonstrated due to the synergistic effects. </LI> <LI> Such effect has been imparted by the presence of defect sites (graphene) and high surface/volume ratio of MOFs. </LI> <LI> Here, the potential of an MOF composite is explored as a conducting material for electrochemical sensing of NH<SUB>3.</SUB> </LI> <LI> This composite exhibited an extended detection range for NH<SUB>3</SUB> that is far better than the others tested previously. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Gupta, Arushi,Bhardwaj, Sanjeev K.,Sharma, Amit L.,Kim, Ki-Hyun,Deep, Akash Elsevier 2019 Environmental research Vol.171 No.-
<P><B>Abstract</B></P> <P>Because of numerous merits (e.g., the possibility of their synthesis in 1-D, 2-D, and 3-D forms, large surface-to-volume ratio, and flexible framework functionality), metal-organic frameworks (MOFs) are envisaged as excellent media for the development of biosensors for diverse analytes present in environmental media. The present research work, for the first time, reports the development of a Cu-MOF based electrochemical biosensor for highly sensitive detection of <I>E. coli</I> bacteria. In order to realize an MOF-based electrochemically active platform, Cu<SUB>3</SUB>(BTC)<SUB>2</SUB> (BTC = 1,3,5-benzenetricarboxylic acid) was mixed with polyaniline (PANI). The spectroscopic/morphological characterizations of the resulting composite were established with the aid of FT-IR, UV–visible spectroscopy, X-ray diffraction, electron microscopy, and surface area analysis. The thin films of Cu<SUB>3</SUB>(BTC)<SUB>2</SUB>-PANI, on an indium-tin oxide (ITO) substrate, were bio-interfaced with anti-<I>E. coli</I> antibodies for use as a novel biosensing electrode. Based on the electrochemical impedance spectroscopy (EIS) technique of signal measurement, the above sensor exhibited high sensitivity to detect very low concentrations of <I>E. coli</I> (2cfu/mL) in a short response time (~2 min) and was also selective in the presence of other non-specific bacteria. As a novel highlight of the research, this new MOF/PANI based detection platform for <I>E. coli</I> has shown improved performance than many of the previously reported electrochemical biosensors.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Cu<SUB>3</SUB>(BTC)<SUB>2</SUB>-PANI based electrochemical biosensor developed for <I>E. coli</I> bacteria. </LI> <LI> EIS based quantification offers highly sensitive detection with LOD of 2 cfu/mL. </LI> <LI> Detection is highly specific even in presence of other non-specific bacteria. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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“Free Hand” or Wire Guide: To the Editor
Nirmal Kumar Sinha,Amit Bhardwaj 대한정형외과학회 2019 Clinics in Orthopedic Surgery Vol.11 No.4
We read with interest the article “Learning curve of internal fixation for nondisplaced femoral neck fractures: a cumulative sum analysis.”1) Stability of fracture depends upon the parallelity of the cancellous screws that fixes the fractured neck of femur. It is not easy to insert guidewire at the right position and in parallel orientation.2) We all know from our experience that there is a learning curve involved in the passing of parallel screws, much more so if it is done “free hand.” Even a parallel wire guide requires passing of a central guide wire in exact central position. The paper does not mention if any wire guide was used during fixation. We are curious to know about the cause of significant difference of operating time between the early and late experience group (52.2 ± 15.2 vs. 38.4 ± 13.0 minutes). Which part of the surgical procedure required more time in the early group and has learning improved the operating time in the late group?
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