The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
E-Nose Sensing of Low-ppb Formaldehyde in Gas Mixtures at High Relative Humidity for Breath Screening of Lung Cancer?
Abstract
Formaldehyde (FA) is a potential breath marker for lung cancer and a tracer for indoor air quality monitoring. Its typical concentrations are below 100 ppb posing a sensitivity and selectivity challenge to current portable sensor systems. Here, we present a highly sensitive, selective, and compact electronic nose (E-nose) for real-time quantification of FA at realistic conditions. This E-nose consists of four nanostructured and highly porous Pt-, Si-, Pd-, and Ti-doped SnO 2 sensing films directly deposited onto silicon wafer-based microsubstrates by flame spray pyrolysis (FSP). The constituent sensors offer stable responses (24 h tested) and detection of FA down to 3 ppb (signal-to-noise ratio > 25) at breath-realistic 90% relative humidity. Each dopant induces different analyte selectivit y enabling selective detection of FA in two-, three- and four-analyte mixtures by multivariate linear regression. In simulated breath (FA with higher acetone, NH 3, and ethanol concentrations), FA is detected with an average error ≤ 9 ppb using the present E-nose and overcoming selectivity issues of single sensors. This device could facilitate easy screening of lung cancer patients and monitoring of indoor FA concentrations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Conduction Model of Metal Oxide Gas Sensors
Barsan, N., & Weimar, U. (2001) · Journal of Electroceramics · doi:10.1023/a:1014405811371 · Cited by 2,721
Formaldehyde in the Indoor Environment
Salthammer, T., Mentese, S., & Marutzky, R. (2010) · Chemical Reviews · doi:10.1021/cr800399g · Cited by 1,808
Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose
Persaud, K., & Dodd, G. (1982) · Nature · doi:10.1038/299352a0 · Cited by 1,592
Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways
Hakim, M., Broza, Y. Y., Barash, O., Peled, N., Phillips, M., Amann, A., & Haick, H. (2012) · Chemical Reviews · doi:10.1021/cr300174a · Cited by 953
Righettoni, M., Tricoli, A., & Pratsinis, S. E. (2010) · Analytical Chemistry · doi:10.1021/ac902695n · Cited by 630
Self-citationFlame aerosol synthesis of smart nanostructured materials
Strobel, R., & Pratsinis, S. E. (2007) · Journal of Materials Chemistry · doi:10.1039/b711652g · Cited by 594
Self-citationBreath gas aldehydes as biomarkers of lung cancer
Fuchs, P., Loeseken, C., Schubert, J. K., & Miekisch, W. (2010) · International Journal of Cancer · doi:10.1002/ijc.24970 · Cited by 513
Data analysis for electronic nose systems
Scott, S. M., James, D., & Ali, Z. (2006) · Microchimica Acta · doi:10.1007/s00604-006-0623-9 · Cited by 450
Electronic noses and disease diagnostics
Turner, A. P. F., & Magan, N. (2004) · Nature Reviews Microbiology · doi:10.1038/nrmicro823 · Cited by 442
Quantitative analysis of ammonia on the breath of patients in end-stage renal failure
Davies, S., Spanel, P., & Smith, D. (1997) · Kidney International · doi:10.1038/ki.1997.324 · Cited by 406
Cited by
Evolution of breath analysis based on humidity and gas sensors: Potential and challenges
Tai, H., Wang, S., Duan, Z., & Jiang, Y. (2020) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2020.128104 · Cited by 412
Wearable and Miniaturized Sensor Technologies for Personalized and Preventive Medicine
Tricoli, A., Nasiri, N., & De, S. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201605271 · Cited by 346
Machine Learning-Based Rapid Detection of Volatile Organic Compounds in a Graphene Electronic Nose
Capman, N. S. S., Zhen, X. V., Nelson, J. T., Chaganti, V. R. S. K., Finc, R. C., Lyden, M. J., Williams, T. L., Freking, M., Sherwood, G. J., Bühlmann, P., et al. (2022) · ACS Nano · doi:10.1021/acsnano.2c10240 · Cited by 115
Metadata
- Authors
- Güntner, A. T., Koren, V., Chikkadi, K., Righettoni, M., & Pratsinis, S. E.
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-03-11
- Volume
- 1
- Issue
- 5
- Pages
- 528-535
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W2295886011
- Cited by
- 257
- References
- 27
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: E-Nose Sensing of Low-ppb Formaldehyde in Gas Mixtures at High Relative Humidity for Breath Screening of Lung Cancer? https://app.cochat.ai/papers/10.1021/acssensors.6b00008
- The paper
- Güntner, A. T., Koren, V., Chikkadi, K., Righettoni, M., & Pratsinis, S. E. (2016). E-Nose Sensing of Low-ppb Formaldehyde in Gas Mixtures at High Relative Humidity for Breath Screening of Lung Cancer? ACS Sensors. https://doi.org/10.1021/acssensors.6b00008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
