The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Thin‐Wall Assembled SnO2 Fibers Functionalized by Catalytic Pt Nanoparticles and their Superior Exhaled‐Breath‐Sensing Properties for the Diagnosis of Diabetes
Abstract
Hierarchical SnO 2 fibers assembled from wrinkled thin tubes are synthesized by controlling the microphase separation between tin precursors and polymers, by varying flow rates during electrospinning and a subsequent heat treatment. The inner and outer SnO 2 tubes have a number of elongated open pores ranging from 10 nm to 500 nm in length along the fiber direction, enabling fast transport of gas molecules to the entire thin‐walled sensing layers. These features admit exhaled gases such as acetone and toluene, which are markers used for the diagnosis of diabetes and lung cancer. The open tubular structures facilitated the uniform coating of catalytic Pt nanoparticles onto the inner SnO 2 layers. Highly porous SnO 2 fibers synthesized at a high flow rate show five‐fold higher acetone responses than densely packed SnO 2 fibers synthesized at a low flow rate. Interestingly, thin‐wall assembled SnO 2 fibers functionalized by Pt particles exhibit a dramatically shortened gas response time compared to that of un‐doped SnO 2 fibers, even at low acetone concentrations. Moreover, Pt‐decorated SnO 2 fibers significantly enhance toluene response. These results demonstrate the novel and practical feasibility of thin‐wall assembled metal oxide based breath sensors for the accurate diagnosis of diabetes and potential detection of lung cancer.
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Cited by
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
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Evolution of breath analysis based on humidity and gas sensors: Potential and challenges
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Metadata
- Authors
- Shin, J., Choi, S., Lee, I., Youn, D., Park, C. O., Lee, J., Tuller, H. L., & Kim, I.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2012-12-13
- Volume
- 23
- Issue
- 19
- Pages
- 2357-2367
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2039386261
- Cited by
- 391
- References
- 42
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- closed
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