The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection
Open accessAbstract
Blood stream infection or sepsis is a major health problem worldwide, with extremely high mortality, which is partly due to the inability to rapidly detect and identify bacteria in the early stages of infection. Here we present a new technology termed ‘Integrated Comprehensive Droplet Digital Detection’ (IC 3D) that can selectively detect bacteria directly from milliliters of diluted blood at single-cell sensitivity in a one-step, culture- and amplification-free process within 1.5–4 h. The IC 3D integrates real-time, DNAzyme-based sensors, droplet microencapsulation and a high-throughput 3D particle counter system. Using Escherichia coli as a target, we demonstrate that the IC 3D can provide absolute quantification of both stock and clinical isolates of E. coli in spiked blood within a broad range of extremely low concentration from 1 to 10,000 bacteria per ml with exceptional robustness and limit of detection in the single digit regime.
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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Ho, C.-S., Jean, N., Hogan, C. A., Blackmon, L., Jeffrey, S. S., Holodniy, M., Banaei, N., Saleh, A. A. E., Ermon, S., & Dionne, J. (2019) · Nature Communications · doi:10.1038/s41467-019-12898-9 · Cited by 871
Quan, P.-L., Sauzade, M., & Brouzes, E. (2018) · Sensors · doi:10.3390/s18041271 · Cited by 664
McConnell, E. M., Cozma, I., Mou, Q., Brennan, J. D., Lu, Y., & Li, Y. (2021) · Chemical Society Reviews · doi:10.1039/d1cs00240f · Cited by 477
Single-Exosome-Counting Immunoassays for Cancer Diagnostics
Liu, C., Xu, X., Li, B., Situ, B., Pan, W., Hu, Y., An, T., Yao, S., & Zheng, L. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b01184 · Cited by 406
Lin, S., Yu, Z., Chen, D., Wang, Z., Miao, J., Li, Q., Zhang, D., Song, J., & Cui, D. (2020) · Small · doi:10.1002/smll.201903916 · Cited by 353
Metadata
- Authors
- Kang, D.-K., Ali, M. M., Zhang, K., Huang, S. S., Peterson, E., Digman, M. A., Gratton, E., & Zhao, W.
- Venue
- Nature Communications
- Published
- 2014-11-13
- Volume
- 5
- Issue
- 1
- Pages
- 5427-5427
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2040654803
- Cited by
- 297
- References
- 36
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kang, D.-K., Ali, M. M., Zhang, K., Huang, S. S., Peterson, E., Digman, M. A., Gratton, E., & Zhao, W. (2014). Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection. Nature Communications. https://doi.org/10.1038/ncomms6427
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