The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Portable Microfluidic Integrated Plasmonic Platform for Pathogen Detection
Open accessAbstract
Timely detection of infectious agents is critical in early diagnosis and treatment of infectious diseases. Conventional pathogen detection methods, such as enzyme linked immunosorbent assay (ELISA), culturing or polymerase chain reaction (PCR) require long assay times and complex and expensive instruments, which are not adaptable to point-of-care (POC) needs at resource-constrained as well as primary care settings. Therefore, there is an unmet need to develop simple, rapid and accurate methods for detection of pathogens at the POC. Here, we present a portable, multiplex, inexpensive microfluidic-integrated surface plasmon resonance (SPR) platform that detects and quantifies bacteria, i.e., Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) rapidly. The platform presented reliable capture and detection of E. coli at concentrations ranging from ~10 5 to 3.2 × 10 7 CFUs/mL in phosphate buffered saline (PBS) and peritoneal dialysis (PD) fluid. The multiplexing and specificity capability of the platform was also tested with S. aureus samples. The presented platform technology could potentially be applicable to capture and detect other pathogens at the POC and primary care settings.
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Rizvi, I., Gurkan, U. A., Tasoglu, S., Alagic, N., Celli, J. P., Mensah, L. B., Mai, Z., Demirci, U., & Hasan, T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216989110 · Cited by 234
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Qin, J., Jiang, S., Wang, Z., Cheng, X., Li, B., Shi, Y., Tsai, D. P., Liu, A. Q., Huang, W., & Zhu, W. (2022) · ACS Nano · doi:10.1021/acsnano.2c03310 · Cited by 359
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Metadata
- Authors
- Tokel, O., Yildiz, U. H., Inci, F., Durmus, N. G., Ekiz, O. O., Turker, B., Cetin, C., Rao, S., Sridhar, K., Natarajan, N., Shafiee, H., Dana, A., & Demirci, U.
- Venue
- Scientific Reports
- Published
- 2015-03-24
- Volume
- 5
- Issue
- 1
- Pages
- 9152-9152
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2135022430
- Cited by
- 210
- References
- 1
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.