Chemically polymerized polypyrrole for on-chip concentration of volatile breath metabolites

Strand, Nicholas S.; Bhushan, Abhinav; Schivo, Michael; Kenyon, Nicholas J.; Davis, Cristina E.

doi:10.1016/j.snb.2009.09.052

Cited by 28 publications

(20 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6a). Teeth are in constant contact with breath and saliva, which represent rich biologic media that can be probed for the presence of disease, infectious agents or metabolic changes [43][44][45] . Monitoring dynamic characteristics of respiration, including the presence of biomarkers and volatile organic compounds in exhaled breath, is of growing interest in non-invasive disease diagnosis [44][45][46] .…”

Section: Resultsmentioning

confidence: 99%

Graphene-based wireless bacteria detection on tooth enamel

et al. 2012

View full text Add to dashboard Cite

Direct interfacing of nanosensors onto biomaterials could impact health quality monitoring and adaptive threat detection. Graphene is capable of highly sensitive analyte detection due to its nanoscale nature. Here we show that graphene can be printed onto water-soluble silk. This in turn permits intimate biotransfer of graphene nanosensors onto biomaterials, including tooth enamel. The result is a fully biointerfaced sensing platform, which can be tuned to detect target analytes. For example, via self-assembly of antimicrobial peptides onto graphene, we show bioselective detection of bacteria at single-cell levels. Incorporation of a resonant coil eliminates the need for onboard power and external connections. Combining these elements yields two-tiered interfacing of peptide-graphene nanosensors with biomaterials. In particular, we demonstrate integration onto a tooth for remote monitoring of respiration and bacteria detection in saliva. overall, this strategy of interfacing graphene nanosensors with biomaterials represents a versatile approach for ubiquitous detection of biochemical targets.

show abstract

Section: Resultsmentioning

confidence: 99%

Graphene-based wireless bacteria detection on tooth enamel

et al. 2012

View full text Add to dashboard Cite

show abstract

“…1 L), including adsorbents (Woolfenden, 2010), solid-phase microextraction or SPME (Laaks, Jochmann, & Schmidt, 2011), and reactive coatings (Fig. 2.1) (Li, Biswas, Nantz, Higashi, & Fu, 2011; Strand, Bhushan, Schivo, Kenyon, & Davis, 2010), allow GCMS to be a sufficiently sensitive breath volatile detection method. Conventional high-temperature (>200° C) desorption on injection and “hard” ionization can complicate identification and reporting of novel volatiles and the definition of new putative diagnostic markers (Spanel & Smith, 2011).…”

Section: Identification Of Volatiles and Vocsmentioning

confidence: 99%

Bacterial Volatiles and Diagnosis of Respiratory Infections

Graham

2013

Advances in Applied Microbiology

View full text Add to dashboard Cite

Breath testing has enormous potential in the medical diagnostic field. The underlying complexity and perceived availability of adequate specimens, combined with a lack of knowledge of the metabolic pathways that give rise to compounds that are sources of analytes detectable in breath, has greatly slowed development. These real obstacles have recently been largely overcome in the use of breath testing to identify patients with cystic fibrosis associated Pseudomonas aeruginosa infection and tuberculosis. This review summarizes progress made in the characterization of microbial volatiles produced by major lower respiratory tract bacterial pathogens, and their potential use as diagnostic markers in patient breath testing.

show abstract

“…[89][90][91][92][93]. Organic [94][95][96] or inorganic [97][98][99] materials are used as active layers in such gas sensing devices. Recently, the development of inorganicorganic hybrid nanocomposites containing conducting polymers as the organic part and metal oxides as the inorganic one have been reported [100,101].…”

Section: Sensor-based Systemsmentioning

confidence: 99%