Nandini Nagraj

Materials and transducers toward selective wireless gas sensing.

Wireless sensors are devices in which sensing electronic transducers are spatially and galvanically separated from their associated readout/display components. The main benefits of wireless sensors, as compared to traditional tethered sensors, include the non-obtrusive nature of their installations, higher nodal densities, and lower installation costs without the need for extensive wiring.1–3 These attractive features of wireless sensors facilitate their development toward measurements of a wide range of physical, chemical, and biological parameters of interest. Examples of available wireless sensors include devices for sensing of pH, pressure, and temperature in medical, pharmaceutical, animal health, livestock condition, automotive, and other applications.4–7 Some implementations of wireless gas sensors can be already found in monitoring of analyte gases (e.g. carbon dioxide, water vapor, oxygen, combustibles) in relatively interference-free industrial and indoor environments.8,9 However, unobtrusive wireless gas sensors are urgently needed for many more diverse applications ranging from wearable sensors at the workplace, urban environment, and battlefield, to monitoring of containers with toxic industrial chemicals while in transit, to medical monitoring of hospitalized and in-house patients, to detection of food freshness in individual packages, and to distributed networked sensors over large areas (also known as wireless sensor networks, WSNs). Unfortunately, in these and numerous other practical applications, the available wireless gas sensors fall short of meeting emerging measurement needs in complex environments. In particular, existing wireless gas sensors cannot perform highly selective gas detection in the presence of high levels of interferences and cannot quantitate several components in gas mixtures. 1.1. Diversity Of Monitoring Needs Of Volatiles The monitoring of numerous gases of environmental, industrial, and homeland security concern is needed over the broad range of their regulated exposure concentrations. Figure 1 illustrates the relationships between several regulated exposure levels spanning several orders of magnitude of gas concentrations. Typical examples of concentrations of regulated exposure are presented in Table 110–14 for three groups of toxic volatiles such as volatile organic compounds (VOCs), toxic industrial chemicals (TICs), and chemical warfare agents (CWAs). These examples demonstrate the need for gas sensing capabilities with broad measurement dynamic ranges to cover 2 – 4 orders of magnitude in gas concentrations. Figure 1 Examples of regulated vapor-exposure limits established by different organizations: GPL: General Population Limit, established by USACHPPM – U.S. Army Center for Health Promotion and Preventative Medicine; PEL: Permissible Exposure Limit, established ... Table 1 Examples of regulated concentration levels (in ppm by volume) from three representative classes of toxic gases: VOCs, TICs, and CWAs.10–14 Additional needs for detection of volatiles originate from medical diagnostics, food safety, process monitoring, and other areas.15–17 In those applications, the types and levels of detected volatiles can provide the needed information for further control actions.

Battery-free radio frequency identification (RFID) sensors for food quality and safety

Market demands for new sensors for food quality and safety stimulate the development of new sensing technologies that can provide an unobtrusive sensor form, battery-free operation, and minimal sensor cost. Intelligent labeling of food products to indicate and report their freshness and other conditions is one important possible application of such new sensors. This study applied passive (battery-free) radio frequency identification (RFID) sensors for the highly sensitive and selective detection of food freshness and bacterial growth. In these sensors, the electric field generated in the RFID sensor antenna extends from the plane of the RFID sensor and is affected by the ambient environment, providing the opportunity for sensing. This environment may be in the form of a food sample within the electric field of the sensing region or a sensing film deposited onto the sensor antenna. Examples of applications include monitoring of milk freshness, fish freshness, and bacterial growth in a solution. Unlike other food freshness monitoring approaches that require a thin film battery for operation of an RFID sensor and fabrication of custom-made sensors, the passive RFID sensing approach developed here combines the advantages of both battery-free and cost-effective sensor design and offers response selectivity that is impossible to achieve with other individual sensors.

Towards Maintenance-Free Biosensors for Hundreds of Bind/Release Cycles†

A single aptamer bioreceptor layer was formed using a common streptavidin-biotin immobilization strategy and employed for 100-365 bind/release cycles. Chemically induced aptamer unfolding and release of its bound target was accomplished using alkaline solutions with high salt concentrations or deionized (DI) water. The use of DI water scavenged from the ambient atmosphere represents a first step towards maintenance-free biosensors that do not require the storage of liquid reagents. The aptamer binding affinity was determined by surface plasmon resonance and found to be almost constant over 100-365 bind/release cycles with a variation of less than 5% relative standard deviation. This reversible operation of biosensors based on immobilized aptamers without storage of liquid reagents introduces a conceptually new perspective in biosensing. Such new biosensing capability will be important for distributed sensor networks, sensors in resource-limited settings, and wearable sensor applications.

Selective sensing of vapors of similar dielectric constants using peptide-capped gold nanoparticles on individual multivariable transducers.

Peptide-capped AYSSGAPPMPPF gold nanoparticles were demonstrated for highly selective chemical vapor sensing using individual multivariable inductor-capacitor-resistor (LCR) resonators. Their multivariable response was achieved by measuring their resonance impedance spectra followed by multivariate spectral analysis. Detection of model toxic vapors and chemical agent simulants, such as acetonitrile, dichloromethane and methyl salicylate, was performed. Dichloromethane (dielectric constant εr = 9.1) and methyl salicylate (εr = 9.0) were discriminated using a single sensor. These sensing materials coupled to multivariable transducers can provide numerous opportunities for tailoring the vapor response selectivity based on the diversity of the amino acid composition of the peptides, and by the modulation of the nature of peptide-nanoparticle interactions through designed combinations of hydrophobic and hydrophilic amino acids.

Multivariable passive RFID vapor sensors: Pilot-scale manufacturing and laboratory evaluation

We have developed a new concept in passive radio frequency identification (RFID) sensors for selective vapor detection and demonstrated roll-to-roll manufacturing of these sensors on a flexible polymeric substrate on the pilot scale. Selectivity of sensors was tested using model analyte vapors and is provided by measurements of the resonance impedance spectra, multivariate analysis of spectral features, and correlation of these spectral features to the concentrations of vapors. This RFID sensing concept features 16-bit resolution provided by the sensor reader, granting a highly desired independence from costly proprietary RFID memory chips with an analog input.

Multimodal Sensor System for Pressure Ulcer Wound Assessment and Care

We present a multimodal sensor system for wound assessment and pressure ulcer care. Multiple imaging modalities including RGB, three- dimensional (3-D) depth, thermal, multispectral, and chemical sensing are integrated into a portable hand-held probe for real-time wound assessment. Analytic and quantitative algorithms for various assessments including tissue composition, wound measurement in 3-D, temperature profiling, spectral, and chemical vapor analysis are developed. After each assessment scan, 3-D models of the wound are generated on the fly for geometric measurement, while multimodal observations are analyzed to estimate healing progress. Collaboration between developers and clinical practitioners was conducted at the Charlie Norwood VA Medical Center for in-field data collection and experimental evaluation. A total of 133 assessment sessions from 23 enrolled subjects were collected, on which the multimodal data were analyzed and validated with respect to clinical notes associated with each subject. The system can be operated by nontechnical caregivers on a regular basis to aid wound assessment and care. A web portal front-end was developed for clinical decision and telehealth support, where all historical patient data including wound measurements and analysis can be organized online.

Data processing in multivariable RFID vapor sensors

Sensors for selective monitoring of gases and volatiles are needed for numerous applications including medical diagnostics, food safety, environmental, industrial, homeland protection, and many others. For these and other applications, we have developed passive radio frequency identification (RFID) sensors for vapor sensing where we apply a sensing film onto the resonant antenna of the RFID sensor, simultaneously measure several parameters of antenna impedance, and process these parameters using multivariate analysis tools. In this work, we critically analyze techniques of processing the impedance response of individual sensors coated with different sensing materials and the ability of these techniques to increase selectivity of developed sensors upon exposure to model vapors. Four types of investigated data processing techniques are based on unsupervised and supervised pattern recognition algorithms. Two evaluation criteria for these techniques involved their ability (1) to correctly identify types of vapors and (2) to provide the smallest error of prediction of concentrations of vapors.

Selective Vapor Monitoring Using Individual Multivariable RFID Sensors

We have developed multivariable radio frequency identification (RFID) sensors that quantify volatile organic compounds (VOCs) in their mixtures with water vapor. This selectivity is achieved by measuring several parameters of resonance impedance spectrum of the sensor followed by their multivariate analysis. Selectivity of developed individual RFID sensors promises to impact numerous sensing applications.