Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core–shell nanochains-Reference-Cited by-同舟云学术

Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core–shell nanochains

Published:2023 Issue:32 Volume:15 Page:13466-13472
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Xie Xin¹,Yu Wenrou¹,Chen Zhaoxian¹,Wang Li²,Yang Junjun¹,Liu Shihong³,Li Linze¹,Li Yanxi¹,Huang Yingzhou¹^ORCID

Affiliation:

1. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China

2. School of Optoelectronics Engineering, Chongqing University, Chongqing 401331, China

3. Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, Chongqing, 400030, China

Abstract

Surface-enhanced Raman spectroscopy (SERS) has great potential in early diagnosis of diseases by detecting volatile biomarkers in exhaled breath, for its high sensitivity, rich chemical molecular fingerprint information, and immunity to humidity.

Funder

National Natural Science Foundation of China

Science-Health Joint Medical Scientific Research Project of Chongqing

Chongqing University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2023/NR/D3NR02662K

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1. Assessment of the reproducibility and precision of milling and 3D printing surgical guides