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Rajendra Srivastava - One of the best experts on this subject based on the ideXlab platform.

  • hydrothermal synthesis of cuo micro nanostructures and their applications in the oxidative degradation of methylene blue and non enzymatic sensing of Glucose h2o2
    Journal of Colloid and Interface Science, 2012
    Co-Authors: M Anu U Prathap, Balwinder Kaur, Rajendra Srivastava
    Abstract:

    In this paper, we report on the amino acids-/citric acid-/tartaric acid-assisted morphologically controlled hydrothermal synthesis of micro-/nanostructured crystalline copper oxides (CuO). These oxides were characterized by means of X-ray diffraction, nitrogen sorption, scanning electron microscopy, Fourier transform infrared, and UV-visible spectroscopy. The surface area of metal oxides depends on the amino acid used in the synthesis. The formation mechanisms were proposed based on the experimental results, which show that amino acid/citric acid/tartaric acid and hydrothermal time play an important role in tuning the morphology and structure of CuO. The catalytic activity of as-synthesized CuO was demonstrated by catalytic oxidation of methylene blue in the presence of hydrogen peroxide (H(2)O(2)). CuO synthesized using tyrosine was found to be the best catalyst compared to a variety of CuO synthesized in this study. CuO (synthesized in this study)-modified electrodes were used for the construction of non-enzymatic sensors, which displayed excellent electrocatalytic response for the detection of H(2)O(2) and Glucose compared to conventional CuO. The high electrocatalytic response observed for the CuO synthesized using tyrosine can be correlated with the large surface area, which enhances the accessibility of H(2)O(2)/Glucose Molecule to the active site that results in high observed current. The methodology adopted in the present study provides a new platform for the fabrication of CuO-based high-performance Glucose and other biosensors.

  • synthesis of mesostructured polyaniline using mixed surfactants anionic sodium dodecylsulfate and non ionic polymers and their applications in h2o2 and Glucose sensing
    Colloids and Surfaces B: Biointerfaces, 2012
    Co-Authors: M Anu U Prathap, Bhawana Thakur, Shilpa N Sawant, Rajendra Srivastava
    Abstract:

    Abstract Mesostructured polyaniline was prepared by the self-assembly of a mixture of an anionic surfactant, sodium dodecylsulfate and a non-ionic polymeric surfactant (polyethylene glycol, and block-co-polymers such as Pluronic P123 and Brij-35). Materials were characterized by a complementary combination of X-ray diffraction, Scanning electron microscopy, Fourier-transform infrared spectrometer and UV-visible spectrophotometer. Mesostructured polyaniline was used for construction of biosensor, which displayed excellent electrocatalytic response for the detection of H 2 O 2 and Glucose compared to conventional polyaniline. The electrocatalytic response observed in the case of mesostructured polyaniline can be correlated with the large surface area and nanopores which enhances the accessibility of H 2 O 2 /Glucose Molecule to the active site that result in high observed current. The methodology adopted in the present study provides a new platform for the fabrication of polyaniline based high-performance Glucose and other biosensors.

Razali Ismail - One of the best experts on this subject based on the ideXlab platform.

  • analytical modeling of Glucose biosensors based on carbon nanotubes
    Nanoscale Research Letters, 2014
    Co-Authors: Ali Hosseingholi Pourasl, Huei Chaeng Chin, Mohammad Taghi Ahmadi, Meisam Rahmani, Razali Ismail
    Abstract:

    In recent years, carbon nanotubes have received widespread attention as promising carbon-based nanoelectronic devices. Due to their exceptional physical, chemical, and electrical properties, namely a high surface-to-volume ratio, their enhanced electron transfer properties, and their high thermal conductivity, carbon nanotubes can be used effectively as electrochemical sensors. The integration of carbon nanotubes with a functional group provides a good and solid support for the immobilization of enzymes. The determination of Glucose levels using biosensors, particularly in the medical diagnostics and food industries, is gaining mass appeal. Glucose biosensors detect the Glucose Molecule by catalyzing Glucose to gluconic acid and hydrogen peroxide in the presence of oxygen. This action provides high accuracy and a quick detection rate. In this paper, a single-wall carbon nanotube field-effect transistor biosensor for Glucose detection is analytically modeled. In the proposed model, the Glucose concentration is presented as a function of gate voltage. Subsequently, the proposed model is compared with existing experimental data. A good consensus between the model and the experimental data is reported. The simulated data demonstrate that the analytical model can be employed with an electrochemical Glucose sensor to predict the behavior of the sensing mechanism in biosensors.

Mohammad Taghi Ahmadi - One of the best experts on this subject based on the ideXlab platform.

  • analytical modeling of Glucose biosensors based on carbon nanotubes
    Nanoscale Research Letters, 2014
    Co-Authors: Ali Hosseingholi Pourasl, Huei Chaeng Chin, Mohammad Taghi Ahmadi, Meisam Rahmani, Razali Ismail
    Abstract:

    In recent years, carbon nanotubes have received widespread attention as promising carbon-based nanoelectronic devices. Due to their exceptional physical, chemical, and electrical properties, namely a high surface-to-volume ratio, their enhanced electron transfer properties, and their high thermal conductivity, carbon nanotubes can be used effectively as electrochemical sensors. The integration of carbon nanotubes with a functional group provides a good and solid support for the immobilization of enzymes. The determination of Glucose levels using biosensors, particularly in the medical diagnostics and food industries, is gaining mass appeal. Glucose biosensors detect the Glucose Molecule by catalyzing Glucose to gluconic acid and hydrogen peroxide in the presence of oxygen. This action provides high accuracy and a quick detection rate. In this paper, a single-wall carbon nanotube field-effect transistor biosensor for Glucose detection is analytically modeled. In the proposed model, the Glucose concentration is presented as a function of gate voltage. Subsequently, the proposed model is compared with existing experimental data. A good consensus between the model and the experimental data is reported. The simulated data demonstrate that the analytical model can be employed with an electrochemical Glucose sensor to predict the behavior of the sensing mechanism in biosensors.

John D Naworal - One of the best experts on this subject based on the ideXlab platform.

  • carbohydrate pyrolysis mechanisms from isotopic labeling part 5 the pyrolysis of d Glucose the origin of the light gases from the d Glucose Molecule
    Journal of Analytical and Applied Pyrolysis, 2019
    Co-Authors: John B Paine, Yezdi B Pithawalla, John D Naworal
    Abstract:

    Abstract Flash pyrolysis in air of the complete set of 13C1 isotopologs of D-Glucose, monitored by GC/MS using an efficient column for separating the light gases, allowed us to determine the sources within D-Glucose for a range of light hydrocarbons and carbon oxides. These include carbon monoxide (CO), carbon dioxide (CO2), ethyne, ethene, ethane, propadiene, propene, propane, various isomers of butene, 1,3-butadiene, 1,3-cyclopentadiene and benzene. Inasmuch as the pyrolysis product was swept into the chromatographic column as formed, changes in isotopic incorporation with temperature rise could be qualitatively observed as changes of isotopic content across the chromatographic peak. There was significant divergence in labeled origin of CO and CO2, suggesting substantial mutual independence of formation. For both, however, composition was dominated by the first four carbons of D-Glucose. The high-temperature range of formation of these may reflect the composition of the underlying char undergoing combustion. Similarities in isotopic content of ethene and ethane, or of allene, propylene and propane or of the various C4 species suggest that the least saturated versions are formed initially, and then undergo free-radical chain induced hydrogenation. Concerted electrocyclic fragmentations were invoked to explain the dominant formation of ethene, ethyne, propadiene and 1,3-butadiene. CO formation was postulated to arise in part from the fragmentation of glyoxal. CO and CO2 showed strong evidence of preferential ionization of the 13C isotopologs relative to the 12C ipsologs under our conditions, due to the magnetic isotope effect. Overlaid on this was a partial chromatographic enrichment of 13CO2 in the leading edge of the chromatographic peak. The data were normalized to adjust for both effects.

Gong Sen - One of the best experts on this subject based on the ideXlab platform.

  • Study on the Surface Enhanced Raman Scattering of Glucose Molecule
    The Journal of Light Scattering, 2009
    Co-Authors: Gong Sen
    Abstract:

    On the base of the vibration spectrum of Glucose Molecule calculated by the Density Functional Theory(DFT) at the B3LYP complex function,and 6-31++G(d,p) function group,the normal Raman spectrum(NRS) of Glucose is assigned in detail in this paper.Surface enhanced Raman scattering(SERS) of the Glucose Molecule is observed on the substrate surface of the Ag mirror modified by 4-mercaptopyridine(4-MPY).And the adsorption state of the Glucose Molecule on the Ag surface is analyzed.