Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic–Plasmonic Core–Shell Raman Nanotags and Machine Learning Algorithm-Reference-Cited by-同舟云学术

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

Published:2024-01-04 Issue:2 Volume:16 Page:2041-2057
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Rodriguez-Nieves Alberto Luis¹,Taylor Mitchell Lee¹^ORCID,Wilson Raymond¹^ORCID,Eldridge Brinton King¹,Nawalage Samadhi²,Annamer Assam¹^ORCID,Miller Hailey Grace¹,Alle Madhusudhan Reddy¹,Gomrok Saghar¹,Zhang Dongmao²,Wang Yongmei¹^ORCID,Huang Xiaohua¹^ORCID

Affiliation:

1. Department of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States

2. Department of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c13921

Reference64 articles.

1. WHO International Agency for Research on Cancer. Estimated Number of Deaths in 2020, All Cancers, Both Sexes, All Ages, 2022. Cancer Today. Published 2020. Accessed January 14.

2. Cancer statistics, 2023

3. Surface plasmon resonance in gold nanoparticles: a review

4. A Robust and General Approach to Quantitatively Conjugate Enzymes to Plasmonic Nanoparticles

5. Recent Advances of Plasmonic Nanoparticles and their Applications

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