Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic-Plasmonic Core-Shell Raman Nanotags and Machine Learning Algorithm.

MLA

Rodriguez-Nieves, Alberto Luis, et al. “Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic-Plasmonic Core-Shell Raman Nanotags and Machine Learning Algorithm.” ACS Applied Materials & Interfaces, vol. 16, no. 2, Jan. 2024, pp. 2041–57. EBSCOhost, https://doi.org/10.1021/acsami.3c13921.

APA

Rodriguez-Nieves, A. L., Taylor, M. L., Wilson, R., Eldridge, B. K., Nawalage, S., Annamer, A., Miller, H. G., Alle, M. R., Gomrok, S., Zhang, D., Wang, Y., & Huang, X. (2024). Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic-Plasmonic Core-Shell Raman Nanotags and Machine Learning Algorithm. ACS Applied Materials & Interfaces, 16(2), 2041–2057. https://doi.org/10.1021/acsami.3c13921

Chicago

Rodriguez-Nieves, Alberto Luis, Mitchell Lee Taylor, Raymond Wilson, Brinton King Eldridge, Samadhi Nawalage, Assam Annamer, Hailey Grace Miller, et al. 2024. “Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic-Plasmonic Core-Shell Raman Nanotags and Machine Learning Algorithm.” ACS Applied Materials & Interfaces 16 (2): 2041–57. doi:10.1021/acsami.3c13921.