Paper/GO/e-Au flexible SERS sensors for <i>in situ</i> detection of tricyclazole in orange juice and on cucumber skin at the sub-ppb level: machine learning-assisted data analysis-Reference-Cited by-同舟云学术

Paper/GO/e-Au flexible SERS sensors for in situ detection of tricyclazole in orange juice and on cucumber skin at the sub-ppb level: machine learning-assisted data analysis

Published:2024 Issue:12 Volume:6 Page:3106-3118
ISSN:2516-0230
Container-title:Nanoscale Advances
language:en
Short-container-title:Nanoscale Adv.

Author:

Nguyen Ha Anh¹^ORCID,Mai Quan Doan¹^ORCID,Nguyet Nga Dao Thi¹^ORCID,Pham Minh Khanh¹,Nguyen Quoc Khanh²,Do Trong Hiep²,Luong Van Thien²,Lam Vu Dinh³,Le Anh-Tuan¹⁴^ORCID

Affiliation:

1. Phenikaa University Nano Institute (PHENA), Phenikaa University, Hanoi 12116, Vietnam

2. Faculty of Computer Science, Phenikaa University, Hanoi 12116, Vietnam

3. Institute of Materials Science (IMS), Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Hanoi 10000, Vietnam

4. Faculty of Materials Science and Engineering (MSE), Phenikaa University, Hanoi 12116, Vietnam

Abstract

Paper/GO/e-Au SERS substrates were fabricated to detect tricyclazole on cucumber skin and in orange juice. A machine learning model was developed for data analysis and to distinguish tricyclazole from 9 other organic compounds.

Funder

Trường Đại học PHENIKAA

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NA/D3NA01113E

Reference65 articles.

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