The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Noninvasive and Point-of-Care Surface-Enhanced Raman Scattering (SERS)-Based Breathalyzer for Mass Screening of Coronavirus Disease 2019 (COVID-19) under 5 min
Open accessAbstract
Population-wide surveillance of COVID-19 requires tests to be quick and accurate to minimize community transmissions. The detection of breath volatile organic compounds presents a promising option for COVID-19 surveillance but is currently limited by bulky instrumentation and inflexible analysis protocol. Here, we design a hand-held surface-enhanced Raman scattering-based breathalyzer to identify COVID-19 infected individuals in under 5 min, achieving >95% sensitivity and specificity across 501 participants regardless of their displayed symptoms. Our SERS-based breathalyzer harnesses key variations in vibrational fingerprints arising from interactions between breath metabolites and multiple molecular receptors to establish a robust partial least-squares discriminant analysis model for high throughput classifications. Crucially, spectral regions influencing classification show strong corroboration with reported potential COVID-19 breath biomarkers, both through experiment and in silico. Our strategy strives to spur the development of next-generation, noninvasive human breath diagnostic toolkits tailored for mass screening purposes.
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PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
Extrapulmonary manifestations of COVID-19
Gupta, A., Madhavan, M. V., Sehgal, K., Nair, N., Mahajan, S., Sehrawat, T. S., Bikdeli, B., Ahluwalia, N., Ausiello, J. C., Wan, E. Y., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0968-3 · Cited by 3,185
Xie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., & Liu, J. (2020) · Radiology · doi:10.1148/radiol.2020200343 · Cited by 1,960
Bi, L., Wang, Y., Yang, Y., Li, Y., Mo, S., Zheng, Q., & Chen, L. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b19347 · Cited by 113
Cited by
Surface-enhanced Raman spectroscopy: a half-century historical perspective
Yi, J., You, E.-M., Hu, R., Wu, D.-Y., Liu, G.-K., Yang, Z.-L., Zhang, H., Gu, Y., Wang, Y.-H., Wang, X., et al. (2025) · Chemical Society Reviews · doi:10.1039/d4cs00883a · Cited by 382
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Metadata
- Authors
- Leong, S. X., Leong, Y. X., Tan, E. X., Sim, H. Y. F., Koh, C. S. L., Lee, Y. H., Chong, C., Ng, L. S., Chen, J. R. T., Pang, D. W. C., Nguyen, L. B. T., Boong, S. K., Han, X., Kao, Y.-C., Chua, Y. H., Phan-Quang, G. C., Phang, I. Y., Lee, H. K., Abdad, M. Y., Tan, N. S., & Ling, X. Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-01-18
- Volume
- 16
- Issue
- 2
- Pages
- 2629-2639
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4205536845
- Cited by
- 199
- References
- 4
- FWCI
- 19.51
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Noninvasive and Point-of-Care Surface-Enhanced Raman Scattering (SERS)-Based Breathalyzer for Mass Screening of Coronavirus Disease 2019 (COVID-19) under 5 min. https://app.cochat.ai/papers/10.1021/acsnano.1c09371
- The paper
- Leong, S. X., Leong, Y. X., Tan, E. X., Sim, H. Y. F., Koh, C. S. L., Lee, Y. H., Chong, C., Ng, L. S., Chen, J. R. T., Pang, D. W. C., Nguyen, L. B. T., Boong, S. K., Han, X., Kao, Y.-C., Chua, Y. H., Phan-Quang, G. C., Phang, I. Y., Lee, H. K., Abdad, M. Y., . . . Ling, X. Y. (2022). Noninvasive and Point-of-Care Surface-Enhanced Raman Scattering (SERS)-Based Breathalyzer for Mass Screening of Coronavirus Disease 2019 (COVID-19) under 5 min. ACS Nano. https://doi.org/10.1021/acsnano.1c09371
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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.
