A machine learning-assisted colorimetric platform based on a Cu-doped carbon dot nanozyme for sensitive detection of N-acetylcysteine in serum.

Wei S, Wang F, Bai B, An Y, Sun G

Open source

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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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

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