The Experts below are selected from a list of 174 Experts worldwide ranked by ideXlab platform

Morais Simone - One of the best experts on this subject based on the ideXlab platform.

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes / lipidic Bilayer nanocomposite
    Elsevier, 2119
    Co-Authors: Gomes F.o., Maia L.b., Loureiro J.a., Pereira M.c., Delerue-matos Cristina, Moura J.j.g., Morais Simone
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNTs), a lipidic Bilayer [1,2-di-(9Z-octadecenoyl)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Zoctadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolaminepolyethylene glycol (DSPE-PEG)] and NOR. NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 × 10−4 cm.s−1 apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPEPEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/[SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 μM), wide linear range (0.44–9.09 μM), low detection limit (0.13 μM), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5weeks). Selectivity tests towards L-arginine, ascorbic acid, sodiumnitrate, sodiumnitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 ± 9.3%–98.4 ± 5.3% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO.info:eu-repo/semantics/publishedVersio

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes/lipidic 3 Bilayer nanocomposite
    Elsevier, 2019
    Co-Authors: Gomes, Filipa O., Delerue-matos Cristina, Luísa . Maia, Loureiro, Joana A., Pereira, Maria Carmo, Moura Isabel, Moura, José J.g., Morais Simone
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNTs), a lipidic Bilayer [1,2-di-(9Z-octadecenoyl)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Z-octadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol (DSPE-PEG)] and NOR. NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 × 10-4 cm.s-1 apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/[SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 μM), wide linear range (0.44-9.09 μM), low detection limit (0.13 μM), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5 weeks). Selectivity tests towards L-arginine, ascorbic acid, sodium nitrate, sodium nitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 ± 9.3%-98.4 ± 5.3% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO.FG thanks to Fundacão para a Ciência e a Tecnologia, MCTES (FCT/MCTES) for the fellowship grant SFRH/BD/52502/2014, which is financed by national funds and co-financed by FSE. LBM thanks to FCT/MCTES for the CEEC-Individual 2017 Program Contract. This work was supported by the PTDC/BB-BQB/0129/2014 project (FCT/MCTES), by FCT/MEC with national funds and co-funded by FEDER, and also by the Associate Laboratory Research Unit for Green Chemistry - Technologies and Processes Clean – LAQV, financed by national funds from FCT/MCTES (UID/QUI/50006/2019). The financial support from the European Union (FEDER funds through COMPETE) and National Funds (Fundação para a Ciência e Tecnologia-FCT) through project PTDC/ASP-PES/29547/2017, by FCT/MEC with national funds and co-funded by FEDER, is also acknowledged. J.A. Loureiro post-doc grant was supported by NORTE-01-0145-FEDER-000005 – LEPABE-2 ECO-INNOVATION, from North Portugal Regional Operational Program (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).info:eu-repo/semantics/publishedVersio

Simone Morais - One of the best experts on this subject based on the ideXlab platform.

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes/lipidic 3 Bilayer nanocomposite
    'Elsevier BV', 2019
    Co-Authors: Filipa O. Gomes, Luísa . Maia, Joana A. Loureiro, Maria Do Carmo Pereira, Cristina Delerue Matos, Isabel Moura, José J. G. Moura, Simone Morais
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNT5), a lipidic Bilayer [1,2-di-(9Z-octadecenoy1)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Z-octadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolaminepolyethylene glycol (DSPE-PEG)] and NOR NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 x 10(-4) cm.s(-1) apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPEPEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/ISWCNTs/(DOPE: DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 uM), wide linear range (0.44-9.09 mu M), low detection limit (0.13 mu M), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5 weeks). Selectivity tests towards L-arginine, ascorbic acid, sodium nitrate, sodium nitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 +/- 93%-98.4 +/- 53% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO

Luísa . Maia - One of the best experts on this subject based on the ideXlab platform.

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes/lipidic 3 Bilayer nanocomposite
    Elsevier, 2019
    Co-Authors: Gomes, Filipa O., Delerue-matos Cristina, Luísa . Maia, Loureiro, Joana A., Pereira, Maria Carmo, Moura Isabel, Moura, José J.g., Morais Simone
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNTs), a lipidic Bilayer [1,2-di-(9Z-octadecenoyl)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Z-octadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol (DSPE-PEG)] and NOR. NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 × 10-4 cm.s-1 apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/[SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 μM), wide linear range (0.44-9.09 μM), low detection limit (0.13 μM), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5 weeks). Selectivity tests towards L-arginine, ascorbic acid, sodium nitrate, sodium nitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 ± 9.3%-98.4 ± 5.3% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO.FG thanks to Fundacão para a Ciência e a Tecnologia, MCTES (FCT/MCTES) for the fellowship grant SFRH/BD/52502/2014, which is financed by national funds and co-financed by FSE. LBM thanks to FCT/MCTES for the CEEC-Individual 2017 Program Contract. This work was supported by the PTDC/BB-BQB/0129/2014 project (FCT/MCTES), by FCT/MEC with national funds and co-funded by FEDER, and also by the Associate Laboratory Research Unit for Green Chemistry - Technologies and Processes Clean – LAQV, financed by national funds from FCT/MCTES (UID/QUI/50006/2019). The financial support from the European Union (FEDER funds through COMPETE) and National Funds (Fundação para a Ciência e Tecnologia-FCT) through project PTDC/ASP-PES/29547/2017, by FCT/MEC with national funds and co-funded by FEDER, is also acknowledged. J.A. Loureiro post-doc grant was supported by NORTE-01-0145-FEDER-000005 – LEPABE-2 ECO-INNOVATION, from North Portugal Regional Operational Program (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).info:eu-repo/semantics/publishedVersio

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes/lipidic 3 Bilayer nanocomposite
    'Elsevier BV', 2019
    Co-Authors: Filipa O. Gomes, Luísa . Maia, Joana A. Loureiro, Maria Do Carmo Pereira, Cristina Delerue Matos, Isabel Moura, José J. G. Moura, Simone Morais
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNT5), a lipidic Bilayer [1,2-di-(9Z-octadecenoy1)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Z-octadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolaminepolyethylene glycol (DSPE-PEG)] and NOR NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 x 10(-4) cm.s(-1) apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPEPEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/ISWCNTs/(DOPE: DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 uM), wide linear range (0.44-9.09 mu M), low detection limit (0.13 mu M), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5 weeks). Selectivity tests towards L-arginine, ascorbic acid, sodium nitrate, sodium nitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 +/- 93%-98.4 +/- 53% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO

Delerue-matos Cristina - One of the best experts on this subject based on the ideXlab platform.

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes / lipidic Bilayer nanocomposite
    Elsevier, 2119
    Co-Authors: Gomes F.o., Maia L.b., Loureiro J.a., Pereira M.c., Delerue-matos Cristina, Moura J.j.g., Morais Simone
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNTs), a lipidic Bilayer [1,2-di-(9Z-octadecenoyl)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Zoctadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolaminepolyethylene glycol (DSPE-PEG)] and NOR. NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 × 10−4 cm.s−1 apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPEPEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/[SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 μM), wide linear range (0.44–9.09 μM), low detection limit (0.13 μM), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5weeks). Selectivity tests towards L-arginine, ascorbic acid, sodiumnitrate, sodiumnitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 ± 9.3%–98.4 ± 5.3% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO.info:eu-repo/semantics/publishedVersio

  • Biosensor for direct bioelectrocatalysis detection of nitric oxide using nitric oxide reductase incorporated in carboxylated single-walled carbon nanotubes/lipidic 3 Bilayer nanocomposite
    Elsevier, 2019
    Co-Authors: Gomes, Filipa O., Delerue-matos Cristina, Luísa . Maia, Loureiro, Joana A., Pereira, Maria Carmo, Moura Isabel, Moura, José J.g., Morais Simone
    Abstract:

    An enzymatic biosensor based on nitric oxide reductase (NOR; purified from Marinobacter hydrocarbonoclasticus) was developed for nitric oxide (NO) detection. The biosensor was prepared by deposition onto a pyrolytic graphite electrode (PGE) of a nanocomposite constituted by carboxylated single-walled carbon nanotubes (SWCNTs), a lipidic Bilayer [1,2-di-(9Z-octadecenoyl)-sn-glycero-3-phosphoethanolamine (DOPE), 1,2-di-(9Z-octadecenoyl)-3-trimethylammonium-propane (DOTAP), 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol (DSPE-PEG)] and NOR. NOR direct electron transfer and NO bioelectrocatalysis were characterized by several electrochemical techniques. The biosensor development was also followed by scanning electron microscopy and Fourier transform infrared spectroscopy. Improved enzyme stability and electron transfer (1.96 × 10-4 cm.s-1 apparent rate constant) was obtained with the optimum SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR) ratio of 4/2.5/4 (v/v/v), which biomimicked the NOR environment. The PGE/[SWCNTs/(DOPE:DOTAP:DSPE-PEG)/NOR] biosensor exhibited a low Michaelis-Menten constant (4.3 μM), wide linear range (0.44-9.09 μM), low detection limit (0.13 μM), high repeatability (4.1% RSD), reproducibility (7.0% RSD), and stability (ca. 5 weeks). Selectivity tests towards L-arginine, ascorbic acid, sodium nitrate, sodium nitrite and glucose showed that these compounds did not significantly interfere in NO biosensing (91.0 ± 9.3%-98.4 ± 5.3% recoveries). The proposed biosensor, by incorporating the benefits of biomimetic features of the Phospholipid Bilayer with SWCNT's inherent properties and NOR bioelectrocatalytic activity and selectivity, is a promising tool for NO.FG thanks to Fundacão para a Ciência e a Tecnologia, MCTES (FCT/MCTES) for the fellowship grant SFRH/BD/52502/2014, which is financed by national funds and co-financed by FSE. LBM thanks to FCT/MCTES for the CEEC-Individual 2017 Program Contract. This work was supported by the PTDC/BB-BQB/0129/2014 project (FCT/MCTES), by FCT/MEC with national funds and co-funded by FEDER, and also by the Associate Laboratory Research Unit for Green Chemistry - Technologies and Processes Clean – LAQV, financed by national funds from FCT/MCTES (UID/QUI/50006/2019). The financial support from the European Union (FEDER funds through COMPETE) and National Funds (Fundação para a Ciência e Tecnologia-FCT) through project PTDC/ASP-PES/29547/2017, by FCT/MEC with national funds and co-funded by FEDER, is also acknowledged. J.A. Loureiro post-doc grant was supported by NORTE-01-0145-FEDER-000005 – LEPABE-2 ECO-INNOVATION, from North Portugal Regional Operational Program (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).info:eu-repo/semantics/publishedVersio

Andrew Adamatzky - One of the best experts on this subject based on the ideXlab platform.

  • Towards experimental P-systems using multivesicular liposomes
    Journal of Membrane Computing, 2019
    Co-Authors: Richard Mayne, Neil Phillips, Andrew Adamatzky
    Abstract:

    P-systems are abstract computational models inspired by the Phospholipid Bilayer membranes generated by biological cells. Illustrated here is a mechanism by which recursive liposome structures (multivesicular liposomes) may be experimentally produced through electroformation of dipalmitoylphosphatidylcholine films for use in ‘real’ P-systems. We first present the electroformation protocol and microscopic characterisation of incident liposomes towards estimating the size of computing elements, level of internal compartment recursion, fault tolerance and stability. Following, we demonstrate multiple routes towards embedding symbols, namely modification of swelling solutions, passive diffusion, and microinjection. Finally, we discuss how computing devices based on P-systems can be produced and their current limitations.