Machine-Learning-Enhanced Fluorescent Nanosensor Based on Carbon Quantum Dots for Heavy Metal Detection-Reference-Cited by-同舟云学术

Machine-Learning-Enhanced Fluorescent Nanosensor Based on Carbon Quantum Dots for Heavy Metal Detection

Published:2024-02-28 Issue:5 Volume:7 Page:5576-5586
ISSN:2574-0970
Container-title:ACS Applied Nano Materials
language:en
Short-container-title:ACS Appl. Nano Mater.

Author:

Tian Changyu¹,Lee Yullim¹,Song Youngho¹^ORCID,Elmasry Mohamed R.¹^ORCID,Yoon Minyeong¹,Kim Dong-Hwan¹^ORCID,Cho Soo-Yeon¹^ORCID

Affiliation:

1. School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsanm.4c00359

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5. Preparation of Carbon Dots with High-Fluorescence Quantum Yield and Their Application in Dopamine Fluorescence Probe and Cellular Imaging

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