A rapid detection of early-stage cervical cancer using nucleus and cytoplasm-based machine learning-driven refractive index surface plasmon resonance biosensor with ZnO-ag efficient materials
- DOI
- 10.1016/j.saa.2026.128429
- Published
- 2026-12
- Container
- Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.saa.2026.128429,
title = {A rapid detection of early-stage cervical cancer using nucleus and cytoplasm-based machine learning-driven refractive index surface plasmon resonance biosensor with ZnO-ag efficient materials},
author = {Trupti Kamani and Shobhit K. Patel and Yogesh Sharma and Fahad Ahmed Al-Zahrani},
year = {2026},
journal = {Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy},
doi = {10.1016/j.saa.2026.128429},
url = {https://doi.org/10.1016/j.saa.2026.128429}
}RIS
TY - JOUR TI - A rapid detection of early-stage cervical cancer using nucleus and cytoplasm-based machine learning-driven refractive index surface plasmon resonance biosensor with ZnO-ag efficient materials AU - Trupti Kamani AU - Shobhit K. Patel AU - Yogesh Sharma AU - Fahad Ahmed Al-Zahrani PY - 2026 JO - Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy DO - 10.1016/j.saa.2026.128429 UR - https://doi.org/10.1016/j.saa.2026.128429 ER -
APA
Kamani, T., Patel, S. K., Sharma, Y., & Al-Zahrani, F. A. (2026). A rapid detection of early-stage cervical cancer using nucleus and cytoplasm-based machine learning-driven refractive index surface plasmon resonance biosensor with ZnO-ag efficient materials. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. https://doi.org/10.1016/j.saa.2026.128429
Source records
- crossref · retrieved 2026-09-25T19:53:30.068Z