Hybrid carbon nanotube-gold nanoparticle composite for Nitric Oxide (NO) detection

Sensors
Hybrid carbon nanotube-gold nanoparticle composite for Nitric Oxide (NO) detection (TOP2-323)
Enhancing sensitivity and accuracy in NO monitoring over a wide range of humidity
Overview
Nitric Oxide (NO) detection has a wide application from environmental monitoring, industrial process control, combustion studies, oceanographic study to medical diagnoses. NO is a highly unstable, reactive gaseous molecule, making its detection challenging, especially at low concentrations and in high humidity environments. While some commonly used techniques to monitor NO gas are suitable for in vivo detection in solutions, others are bulky and complex despite being sensitive and accurate for in situ monitoring. NASA Ames Research Center has developed a novel, cutting-edge chemiresistive sensor technology that can selectively detect NO in real time, with a small footprint, handheld design, easy operation, and low power consumption. The innovative composite films, crafted from functionalized single-walled carbon nanotubes (SWCNTs) and gold nanoparticles (AuNPs), redefine the landscape of gas sensing.

The Technology
A hybrid thin film is fabricated by a simple drop-casting method. Functionalized single-walled carbon nanotubes (SWCNTs) and gold nanoparticles (AuNPs) with a diameter of ≈15 nm are drop-casted onto a printed circuit board (PCB) substrate equipped with interdigitated electrodes. The addition of AuNPs to the carbon nanotube networked films enhance sensitivity and lower the detection limit to low parts-per-billion (ppb) concentrations. The gold particle to carbon nanotube ratio is optimized to find the optimum gold nanoparticle loading. The composite films were tested in both air and nitrogen environments across a wide relative humidity range (0-97%), which is suitable for dissolved Nitric Oxide (NO) detection in sea water for oceanographic study and for human breath analysis in medical diagnosis. The sensors exhibited high selectivity, particularly to NO, outperforming other tested gases. Notably, the sensor reliably detected NO at 10 ppb levels with response times within 10 seconds and recovery time around 1 minute, showcasing excellent reproducibility across sensors and operational efficiency within diverse humidity conditions.
Green PCB chip Left: Response of a sensor chip to 0.02, 0.04, 0.12, 0.5 and 1.5 ppm NO gas. Each line represents the composite material made with varying loading of Au NPs onto SWCNTs‐COOH. (A) sensor response in dry condition (B) sensor response in 92% RH.

Right: A schematic of possible sensing mechanism
Benefits
  • High sensitivity: reliably detecting Nitric Oxide (NO) at concentrations as low as 10 parts-per-billion (ppb)
  • Versatility: designed for diverse applications, in various environmental conditions, including high humidity environments, making them suitable for wide range of applications
  • Fast and Real-Time monitoring: responds within 10 seconds, recovers within 1 minute, the sensors provide real-time monitoring capabilities, enabling timely detection
  • Cost effective: can be easily manufactured using standard materials processing methods, low power consumption, and operates at room temperature
  • Reliability and reproducibility: deliver consistent and reliable results across different sensors ensuring reproducibility
  • Ease of integration: miniaturization, and designed for easy integration into existing systems and platforms like smart phone and other hand-held devices

Applications
  • Environmental monitoring: air quality, pollutants levels and emissions in urban areas, industrial sites, and sensitive ecosystems
  • Industrial processes: NO levels in manufacturing processes, combustion systems, and chemical production
  • Medical Diagnostics: Nitric oxide being a biomarker for lung and neuro degenerative diseases
  • Real time monitoring of NO levels in breath samples for early detection and management of respiratory conditions such as asthma and other lung diseases
  • Oceanographic studies: detect NO in seawater, oceanic biochemistry, nutrient cycling, marine ecosystems
  • Industrial safety: monitoring hazardous environments
  • Automotive emission control: monitor NO emissions from vehicles
Technology Details

Sensors
TOP2-323
ARC-18953-1
https://www.mdpi.com/1424-8220/22/19/7581
Similar Results
Gas Composition Sensing Using Carbon Nanotube Arrays
An array of carbon nanotubes (CNTs) in a substrate is connected to a variable-pulse voltage source. The CNT tips are spaced appropriately from the second electrode maintained at a constant voltage. A sequence of voltage pulses is applied and a pulse discharge breakdown threshold voltage is estimated for one or more gas components, from an analysis of the current-voltage characteristics. Each estimated pulse discharge breakdown threshold voltage is compared with known threshold voltages for candidate gas components to estimate whether at least one candidate gas component is present in the gas. The procedure can be repeated at higher pulse voltages to estimate a pulse discharge breakdown threshold voltage for a second component present in the gas. The CNTs in the gas sensor have a sharp (low radius of curvature) tip; they are preferably multiwall carbon nanotubes (MWCNTs) or carbon nanofibers (CNFs), to generate high-strength electrical fields adjacent to the current collecting plate, such as a gold plated silicon wafer or a stainless steel plate for breakdown of the gas components with lower voltage application and generation of high current. The sensor system can provide a high-sensitivity, low-power-consumption tool that is very specific for identification of one or more gas components. The sensors can be multiplexed to measure current from multiple CNT arrays for simultaneous detection of several gas components.
Sensor
Gas Sensors Based on Coated and Doped Carbon Nanotubes
A typical sensor device includes a set of interdigitated microelectrodes fabricated by photolithography on silicon wafer or an electrically insulating substrate. In preparation for fabricating the SWCNT portion of such a sensor, a batch of treated (coated or doped) SWCNTs is dispersed in a solvent. The resulting suspension of SWCNTs is drop-deposited or injected onto the area containing the interdigitated electrodes. As the solvent evaporates, the SWCNTs form a mesh that connects the electrodes. The density of the SWCNTs in the mesh can be changed by varying the concentration of SWCNTs in the suspension and/or the amount of suspension dropped on the electrode area. To enable acquisition of measurements for comparison and to gain orthogonality in the sensor array, undoped SWCNTs can be similarly formed on another, identical set of interdigitated electrodes. Coating materials tested so far include chlorosulfonated polyethylene. Dopants that have been tested include Pd, Pt, Au, Cu and Rh nanoparticle clusters. To date, the sensor has been tested for NO2, NH3, CH4, Cl2, HCl, toluene, benzene, acetone, formaldehyde and nitrotoulene.
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Nanosensor Array for Medical Diagnoses
Many diseases are accompanied by characteristic odors. Their recognition can provide diagnostic clues, guide the laboratory evaluation, and affect the choice of immediate therapy. The study of the chemical composition of human breath using gas chromatography mass spectrometry (GC/MS) has shown a correlation between the volatile compounds and the occurrence of certain illnesses. The presence of those specific compounds can provide an indication of physiological malfunction and support the diagnosis of diseases. This condition requires an analytical tool with very high sensitivity for its measurement. A number of volatile compounds, so called biomarkers, are found in breath samples, normally at low parts per billion (ppb) levels. For example, the acetone in the exhaled breath from human with other biomarkers can indicate Type I diabetes. Usually, the concentration of the volatile compounds in human breath is very low and the background relative humidity is high, almost 100%. NASAs invention utilizes an array of chemical sensors combined with humidity, temperature, and pressure for real-time breath measurement to correlate the chemical information in the breath with the state and functioning of different human organs. This tool provides a non-invasive method for fast and accurate diagnosis at the medical point of care or at home. The sensor chip includes multisensors for a comprehensive measurement of chemical composition, temperature, humidity, and pressure/flow rate. The sensor data collected from this chip can be wired or wirelessly transmitted to a computer terminal at the doctors desk or hospital monitoring center. The sensor chip can be connected directly or via Universal serial bus (USB) to a cell phone for data transmission over a long distance and receive an instruction from a doctors office for an immediate therapy.
Sensor
Solid State Carbon Dioxide (CO2) Sensor
The technology is a solid state, Carbon Dioxide (CO2) sensor configured for sensitive detection of CO2 having a concentration within the range of about 100 Parts per Million (ppm) and 10,000 ppm in both dry conditions and high humidity conditions (e.g., > 80% relative humidity). The solid state CO2 sensor achieves detection of high concentrations of CO2 without saturation and in both dynamic flow mode and static diffusion mode conditions. The composite sensing material comprises Oxidized Multi-Walled Carbon Nanotubes (O-MWCNT) and a metal oxide, for example O-MWCNT and iron oxide (Fe2O3) nanoparticles. The composite sensing material has an inherent resistance and corresponding conductivity that is chemically modulated as the level of CO2 increases. The CO2 gas molecules absorbed into the carbon nanotube composites cause charge-transfer and changes in the conductive pathway such that the conductivity of the composite sensing material is changed. This change in conductivity provides a sensor response for the CO2 detection. The solid state CO2 sensor is well suited for automated manufacturing using robotics and software controlled operations. The solid state CO2 sensor does not utilize consumable components or materials and does not require calibration as often as conventional CO2 sensors. Since the technology can be easily integrated into existing programmable electronic systems or hardware systems, the calibration of the CO2 sensor can be automated.
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Polymer Electrolyte-Based Ambient Temperature Oxygen Microsensor
Conventional ambient-temperature oxygen sensors are limited in various ways: optically based sensors can be expensive and challenging to manufacture; electrochemical cells with liquid electrolytes can have limited lifetimes and become leak sources; and both types of sensors are difficult to miniaturize. These problems are addressed with Glenn's novel ambient temperature oxygen microsensor, which is based on a Nafiontm polymer electrolyte, microfabricated using thin-film technologies. In the past, one drawback of Nafiontm film has been that it can lose conductivity when the moisture content in the film is too low, potentially affecting sensor operation. Glenn researchers devised a method to use certain salts to hold water molecules in the Nafiontm film structure at room temperature. The presence of these salts provides extra sites in the film to promote proton (H+) mobility, thus improving film conductivity and overall sensor performance, particularly in arid and high-temperature environments. The innovative use of metal/metal oxide as the reference electrode enables miniaturization by eliminating the reference gas and sealing the reference electrode. The combination of interdigitized electrodes with the unique metal/metal oxide reference electrode permits sensor operation in either potentiometric or amperometric mode, as appropriate. In potentiometric mode, which measures voltage differences between working and reference electrodes in different gases, the voltage differences can be monitored with a voltmeter; however, the sensor itself does not need a power source. In room-temperature testing, the sensor achieved repeatable responses to 21 percent oxygen in nitrogen (using nitrogen as a baseline gas), and also detected oxygen from 7 to 21 percent, making Glenn's breakthrough technology usable for personal health monitoring as well as fire detection, fuel-leak detection, and environmental monitoring.
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