The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Ultrasensitive detection of miRNA with an antimonene-based surface plasmon resonance sensor
Open accessAbstract
MicroRNA exhibits differential expression levels in cancer and can affect cellular transformation, carcinogenesis and metastasis. Although fluorescence techniques using dye molecule labels have been studied, label-free molecular-level quantification of miRNA is extremely challenging. We developed a surface plasmon resonance sensor based on two-dimensional nanomaterial of antimonene for the specific label-free detection of clinically relevant biomarkers such as miRNA-21 and miRNA-155. First-principles energetic calculations reveal that antimonene has substantially stronger interaction with ssDNA than the graphene that has been previously used in DNA molecule sensing, due to thanking for more delocalized 5 s/5 p orbitals in antimonene. The detection limit can reach 10 aM, which is 2.3–10,000 times higher than those of existing miRNA sensors. The combination of not-attempted-before exotic sensing material and SPR architecture represents an approach to unlocking the ultrasensitive detection of miRNA and DNA and provides a promising avenue for the early diagnosis, staging, and monitoring of cancer.
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Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539
Mid-infrared plasmonic biosensing with graphene
Rodrigo, D., Limaj, O., Janner, D., Etezadi, D., García de Abajo, F. J., Pruneri, V., & Altug, H. (2015) · Science · doi:10.1126/science.aab2051 · Cited by 1,462
Cited by
Emerging two-dimensional monoelemental materials (Xenes) for biomedical applications
Tao, W., Kong, N., Ji, X., Zhang, Y., Sharma, A., Ouyang, J., Qi, B., Wang, J., Xie, N., Kang, C., et al. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00823j · Cited by 615
Self-citationCao, M., Wang, X., Zhang, M., Cao, W., Fang, X., & Yuan, J. (2020) · Advanced Materials · doi:10.1002/adma.201907156 · Cited by 441
Zhang, L., Yang, Z., Gong, T., Pan, R., Wang, H., Guo, Z., Zhang, H., & Fu, X. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta01999b · Cited by 406
Self-citationRecent Advances in Functional 2D MXene‐Based Nanostructures for Next‐Generation Devices
Huang, W., Hu, L., Tang, Y., Xie, Z., & Zhang, H. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202005223 · Cited by 359
Self-citationMXenes: Synthesis, Optical Properties, and Applications in Ultrafast Photonics
Fu, B., Sun, J., Wang, C., Shang, C., Xu, L., Li, J., & Zhang, H. (2021) · Small · doi:10.1002/smll.202006054 · Cited by 328
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Metadata
- Authors
- Xue, T., Liang, W., Li, Y., Sun, Y., Xiang, Y., Zhang, Y., Dai, Z., Duo, Y., Wu, L., Qi, K., Shivananju, B. N., Zhang, L., Cui, X., Zhang, H., & Bao, Q.
- Venue
- Nature Communications
- Published
- 2019-01-03
- Volume
- 10
- Issue
- 1
- Pages
- 28-28
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2908340776
- Cited by
- 764
- References
- 5
- FWCI
- 27.37
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xue, T., Liang, W., Li, Y., Sun, Y., Xiang, Y., Zhang, Y., Dai, Z., Duo, Y., Wu, L., Qi, K., Shivananju, B. N., Zhang, L., Cui, X., Zhang, H., & Bao, Q. (2019). Ultrasensitive detection of miRNA with an antimonene-based surface plasmon resonance sensor. Nature Communications. https://doi.org/10.1038/s41467-018-07947-8
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