Accession Number : ADA611874


Title :   Bionanomaterials and Bioinspired Nanostructures for Selective Vapor Sensing


Descriptive Note : Journal article


Corporate Author : GE GLOBAL RESEARCH CENTER NISKAYUNA NY


Personal Author(s) : Potyrailo, Radislav ; Naik, Rajesh R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a611874.pdf


Report Date : 03 Apr 2013


Pagination or Media Count : 33


Abstract : At present, monitoring of air at the workplace, in urban environments, and on battlefields; exhaled air from medical patients; air in packaged food containers; and so forth can be accomplished with different types of analytical instruments. Vapor sensors have their niche in these measurements when an unobtrusive, low-power, and cost-sensitive technical solution is required. Unfortunately, existing vapor sensors often degrade their vapor-quantitation accuracy in the presence of high levels of interferences and cannot quantitate several components in complex gas mixtures. Thus, new sensing approaches with improved sensor selectivity are required. This technological task can be accomplished by the careful design of sensing materials with new performance properties and by coupling these materials with the suitable physical transducers. This review is focused on the assessment of the capabilities of bionanomaterials and bioinspired nanostructures for selective vapor sensing. We demonstrate that these sensing materials can operate with diverse transducers based on electrical, mechanical, and optical readout principles and can provide vapor-response selectivity previously unattainable by using other sensing materials. This ability for selective vapor sensing provides opportunities to significantly impact the major directions in development and application scenarios of vapor sensors.


Descriptors :   *DETECTORS , *NANOSTRUCTURES , *VAPORS , CONTAINERS , COUPLING(INTERACTION) , DETECTION , ENVIRONMENTS , EXHALATION , FOOD , IMPACT , LOW POWER , MATERIALS , MEDICINE , MONITORING , OPTICAL PROPERTIES , PATIENTS , READ OUT TECHNIQUES , REPRINTS , SCENARIOS , SKILLS


Subject Categories : Physical Chemistry
      Electrical and Electronic Equipment
      Miscellaneous Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE