“…Nitrite oxidation-based methods with a final product of NO 3 are usually preferred because the presence of interfering molecules (such as oxygen) during reduction can be avoided 33 . However, an oxidation reaction as the basis for detecting nitrite requires a high over-potential 34 ; thus, in recent years, many attempts have been made to develop novel electrode materials [35][36][37][38][39][40][41][42][43][44][45][46][47][48] .…”
We present a portable non-invasive approach for measuring indicators of inflammation and oxidative stress in the respiratory tract by quantifying a biomarker in exhaled breath condensate (EBC). We discuss the fabrication and characterization of a miniaturized electrochemical sensor for detecting nitrite content in EBC using reduced graphene oxide. The nitrite content in EBC has been demonstrated to be a promising biomarker of inflammation in the respiratory tract, particularly in asthma. We utilized the unique properties of reduced graphene oxide (rGO); specifically, the material is resilient to corrosion while exhibiting rapid electron transfer with electrolytes, thus allowing for highly sensitive electrochemical detection with minimal fouling. Our rGO sensor was housed in an electrochemical cell fabricated from polydimethyl siloxane (PDMS), which was necessary to analyze small EBC sample volumes. The sensor is capable of detecting nitrite at a low over-potential of 0.7 V with respect to an Ag/AgCl reference electrode. We characterized the performance of the sensors using standard nitrite/buffer solutions, nitrite spiked into EBC, and clinical EBC samples. The sensor demonstrated a sensitivity of 0.21 μA μM − 1 cm − 2 in the range of 20-100 μM and of 0.1 μA μM − 1 cm − 2 in the range of 100-1000 μM nitrite concentration and exhibited a low detection limit of 830 nM in the EBC matrix. To benchmark our platform, we tested our sensors using seven pre-characterized clinical EBC samples with concentrations ranging between 0.14 and 6.5 μM. This enzyme-free and label-free method of detecting biomarkers in EBC can pave the way for the development of portable breath analyzers for diagnosing and managing changes in respiratory inflammation and disease.
“…Nitrite oxidation-based methods with a final product of NO 3 are usually preferred because the presence of interfering molecules (such as oxygen) during reduction can be avoided 33 . However, an oxidation reaction as the basis for detecting nitrite requires a high over-potential 34 ; thus, in recent years, many attempts have been made to develop novel electrode materials [35][36][37][38][39][40][41][42][43][44][45][46][47][48] .…”
We present a portable non-invasive approach for measuring indicators of inflammation and oxidative stress in the respiratory tract by quantifying a biomarker in exhaled breath condensate (EBC). We discuss the fabrication and characterization of a miniaturized electrochemical sensor for detecting nitrite content in EBC using reduced graphene oxide. The nitrite content in EBC has been demonstrated to be a promising biomarker of inflammation in the respiratory tract, particularly in asthma. We utilized the unique properties of reduced graphene oxide (rGO); specifically, the material is resilient to corrosion while exhibiting rapid electron transfer with electrolytes, thus allowing for highly sensitive electrochemical detection with minimal fouling. Our rGO sensor was housed in an electrochemical cell fabricated from polydimethyl siloxane (PDMS), which was necessary to analyze small EBC sample volumes. The sensor is capable of detecting nitrite at a low over-potential of 0.7 V with respect to an Ag/AgCl reference electrode. We characterized the performance of the sensors using standard nitrite/buffer solutions, nitrite spiked into EBC, and clinical EBC samples. The sensor demonstrated a sensitivity of 0.21 μA μM − 1 cm − 2 in the range of 20-100 μM and of 0.1 μA μM − 1 cm − 2 in the range of 100-1000 μM nitrite concentration and exhibited a low detection limit of 830 nM in the EBC matrix. To benchmark our platform, we tested our sensors using seven pre-characterized clinical EBC samples with concentrations ranging between 0.14 and 6.5 μM. This enzyme-free and label-free method of detecting biomarkers in EBC can pave the way for the development of portable breath analyzers for diagnosing and managing changes in respiratory inflammation and disease.
“…As is explained in our accompanying paper (Voitenko and Pierrard, 2012), a timevarying diffusion can lead to the beam formation by the time-of-flight effects. The beams can be also produced by the proton trapping and acceleration in the parallel electric potential of the intermittent KAW pulses, as is explained by Pierrard and Voitenko (2010) and demonstrated numerically by Li et al (2010). Simulation of this process requires a more complex modeling of the solar wind turbulence including intermittence.…”
Section: Discussionmentioning
confidence: 90%
“…Later on, at the Solar Wind 12 in June 2009, Pierrard and Voitenko have presented analytical estimations and numerical example, published in Pierrard and Voitenko (2010). Numerical simulations by Osmane et al (2010) and Li et al (2010) have demonstrated the proton beam formation by a coherent monochromatic KAW. Our present approach is based not on monochromatic KAWs but on a wide spectrum of KAWs with overlapping potentials, which results in the velocity-space proton diffusion rather than the proton trapping as in the mentioned above papers.…”
Section: Introductionmentioning
confidence: 99%
“…Kinetic models based on the solution of the Fokker-Planck equation have been developed to study the steady state electron velocity distribution function (VDF) in the corona and at larger radial distances in the solar wind (SW) (Lie-Svendsen et al, 1997;Pierrard et al, 1999;Lie-Svendsen and Leer, 2000;Pierrard et al, 2001;Vocks and Mann, 2003;Vocks and Mann, 2009). The test electrons were submitted to the influence of the external forces and to Coulomb collisions with background particles (Pierrard et al, 1999;Lie-Svendsen and Leer, 2000;Pierrard et al, 2001). Such models were solved numerically and emphasized the effects of Coulomb collisions compared to the results of purely exospheric models that considered only the external forces (Maksimovic et al, 1997;Lamy et al, 2003).…”
In the present paper, the proton velocity distribution function (VDF) in the solar wind is determined by solving numerically the kinetic evolution equation. We compare the results obtained when considering the effects of external forces and Coulomb collisions with those obtained by adding effects of Alfvén wave turbulence. We use Fokker-Planck diffusion terms due to Alfvénic turbulence, which take into account observed turbulence spectra and kinetic effects of finite proton gyroradius. Assuming a displaced Maxwellian for the proton VDF at the simulation boundary at 14 solar radii, we show that the turbulence leads to a fast (within several solar radii) development of the antisunward tail in the proton VDF. Our results provide a natural explanation for the nonthermal tails in the proton VDFs, which are often observed in-situ in the solar wind beyond 0.3 AU.
“…Nonenzymatic nitrite sensors require a nanostructured material as a potential catalyst to modify the electrode surface and carry out the electrochemical response in the presence of nitrite; see Table 1 . Recently, Haldorai et al prepared cobalt oxide nanospindles‐decorated reduced graphene oxide (Co 3 O 4 ‐rGO) composite and utilized the drop‐cast method to modify glassy carbon electrode (GCE) for sensing (Co 3 O 4 ‐rGO/GCE) electrode fabrication .…”
Electrochemical Sensors Recently, several detection strategies for nitrite have been utilized, i.e., spectrophotometry, [3][4][5] chromatography, [6][7][8] chemiluminescence, [9][10][11] and capillary electrophoresis. [12,13] However,
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.