Honeycomb-Inspired Surface-Enhanced Raman Scattering Microarray for Large-Area Automated Testing of Urease in Saliva Samples-Reference-Cited by-同舟云学术

Honeycomb-Inspired Surface-Enhanced Raman Scattering Microarray for Large-Area Automated Testing of Urease in Saliva Samples

Published:2024-04-09 Issue:4 Volume:9 Page:2031-2042
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Li Guoqian¹,Fan Jinkun¹,Zhang Ting¹,Gao Ting¹,Chong Yuying¹,Liang Minghui¹,Liang Shijian²,Hu Bo¹^ORCID,Yi Langlang¹,Zhao Lei¹^ORCID,Castel Helene³^ORCID

Affiliation:

1. School of Life Science and Technology, Xidian University, Xi’an 710126, Shaanxi, China

2. Guangzhou Betop Scientific Ltd., Guangzhou 510308, Guandong, China

3. Institute of Research and Biomedical Innovation, University of Rouen Normandy, Mont-Saint, Aignan, 76821, France

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.4c00006

Reference42 articles.

1. Preventing Memory Effects in Surface-Enhanced Raman Scattering Substrates by Polymer Coating and Laser-Activated Deprotection

2. Facile PEG-based isolation and classification of cancer extracellular vesicles and particles with label-free surface-enhanced Raman scattering and pattern recognition algorithm

3. Surface-enhanced Raman spectroscopy: benefits, trade-offs and future developments

4. Biological Characteristics of Cell Similarity Measure

5. Detection of fish bones in fillets by Raman hyperspectral imaging technology

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