The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Nanomaterial-Based Sensors for Detection of Disease by Volatile Organic Compounds
Abstract
The importance of developing new diagnostic and detection technologies for the growing number of clinical challenges is rising each year. Here, we present a concise, yet didactic review on a new diagnostics frontier based on the detection of disease-related volatile organic compounds (VOCs) by means of nanomaterial-based sensors. Nanomaterials are ideal for such sensor arrays because they are easily fabricated, chemically versatile and can be integrated into currently available sensing platforms. Following a general introduction, we provide a brief description of the VOC-related diseases concept. Then, we focus on detection of VOC-related diseases by selective and crossreactive sensing approaches, through chemical, optical and mechanical transducers incorporating the most important classes of nanomaterials. Selected examples of the integration of nanomaterials into selective sensors and crossreactive sensor arrays are given. We conclude with a brief discussion on the integration possibilities of different types of nanomaterials into sensor arrays, and the expected outcomes and limitations.
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
Electronic Nose: Current Status and Future Trends
Röck, F., Barsan, N., & Weimar, U. (2008) · Chemical Reviews · doi:10.1021/cr068121q · Cited by 1,437
Diagnosing lung cancer in exhaled breath using gold nanoparticles
Peng, G., Tisch, U., Adams, O., Hakim, M., Shehada, N., Broza, Y. Y., Billan, S., Abdah-Bortnyak, R., Kuten, A., & Haick, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.235 · Cited by 1,263
Self-citationVolatile 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
Self-citationExhaled Markers of Pulmonary Disease
KHARITONOV, S. A., & BARNES, P. J. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.163.7.2009041 · Cited by 844
Peng, G., Hakim, M., Broza, Y. Y., Billan, S., Abdah-Bortnyak, R., Kuten, A., Tisch, U., & Haick, H. (2010) · British Journal of Cancer · doi:10.1038/sj.bjc.6605810 · Cited by 775
Self-citationDi Natale, C., Macagnano, A., Martinelli, E., Paolesse, R., D'Arcangelo, G., Roscioni, C., Finazzi-Agrò, A., & D'Amico, A. (2003) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(03)00086-1 · Cited by 663
The scent of disease: volatile organic compounds of the human body related to disease and disorder
Shirasu, M., & Touhara, K. (2011) · Journal of Biochemistry · doi:10.1093/jb/mvr090 · Cited by 619
Detection of Lung Cancer by Sensor Array Analyses of Exhaled Breath
Machado, R. F., Laskowski, D., Deffenderfer, O., Burch, T., Zheng, S., Mazzone, P. J., Mekhail, T., Jennings, C., Stoller, J. K., Pyle, J., et al. (2005) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200409-1184oc · Cited by 602
Increased 8-Isoprostane, a Marker of Oxidative Stress, in Exhaled Condensate of Asthma Patients
MONTUSCHI, P., CORRADI, M., CIABATTONI, G., NIGHTINGALE, J., KHARITONOV, S. A., & BARNES, P. J. (1999) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.160.1.9809140 · Cited by 551
Colorimetric Sensor Arrays for Volatile Organic Compounds
Janzen, M. C., Ponder, J. B., Bailey, D. P., Ingison, C. K., & Suslick, K. S. (2006) · Analytical Chemistry · doi:10.1021/ac052111s · Cited by 491
Cited by
Sensors for Breath Testing: From Nanomaterials to Comprehensive Disease Detection
Konvalina, G., & Haick, H. (2014) · Accounts of Chemical Research · doi:10.1021/ar400070m · Cited by 561
Self-citationSensors for Volatile Organic Compounds
Khatib, M., & Haick, H. (2022) · ACS Nano · doi:10.1021/acsnano.1c10827 · Cited by 533
Self-citationJia, R., Tian, W., Bai, H., Zhang, J., Wang, S., & Zhang, J. (2019) · Nature Communications · doi:10.1038/s41467-019-08675-3 · Cited by 494
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
Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath
Shan, B., Broza, Y. Y., Li, W., Wang, Y., Wu, S., Liu, Z., Wang, J., Gui, S., Wang, L., Zhang, Z., et al. (2020) · ACS Nano · doi:10.1021/acsnano.0c05657 · Cited by 384
Self-citation
Metadata
- Authors
- Broza, Y. Y., & Haick, H.
- Venue
- Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2013-05
- Volume
- 8
- Issue
- 5
- Pages
- 785-806
- ISSN
- 1743-5889 (ISSN-L)
- 1748-6963
- OpenAlex
- W2134986799
- Cited by
- 358
- References
- 111
- FWCI
- 15.94
- 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: Nanomaterial-Based Sensors for Detection of Disease by Volatile Organic Compounds. https://app.cochat.ai/papers/10.2217/nnm.13.64
- The paper
- Broza, Y. Y., & Haick, H. (2013). Nanomaterial-Based Sensors for Detection of Disease by Volatile Organic Compounds. Nanomedicine. https://doi.org/10.2217/nnm.13.64
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.