A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.
- DOI
- 10.1039/d6ay01708h
- Published
- 2026 Sep 2
- Container
- Analytical methods : advancing methods and applications
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay01708h,
title = {A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.},
author = {Wei S and Wang F and Bai B and An Y and Sun G},
year = {2026},
journal = {Analytical methods : advancing methods and applications},
doi = {10.1039/d6ay01708h},
url = {https://doi.org/10.1039/d6ay01708h}
}RIS
TY - JOUR TI - A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum. AU - Wei S AU - Wang F AU - Bai B AU - An Y AU - Sun G PY - 2026 JO - Analytical methods : advancing methods and applications DO - 10.1039/d6ay01708h UR - https://doi.org/10.1039/d6ay01708h ER -
APA
S, W., F, W., B, B., Y, A., & G, S. (2026). A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.. Analytical methods : advancing methods and applications. https://doi.org/10.1039/d6ay01708h
Source records
- pubmed · retrieved 2026-09-25T22:59:07.403Z