Machine Learning Decoding of Iron-Doped Carbon Dots Dual-Mode Responses for Portable Smartphone Sensing and Real-Time Bioanalysis of Chiral Ascorbic Acid

model. This work provides insight into stereoselective interactions with metal-doped carbon dots and offers an intelligent, portable tool for chiral sensing and physiological tracing.

Authors

Shuaijing Du
Zhenhua Zhai (ORCID: https://orcid.org/0009-0009-4170-4403)
Qianqian Jiang
Yingxiang Du (ORCID: https://orcid.org/0000-0001-6747-5607)
Le Liang
Chunyan Guo
Yichen Li

Institutions

University of California, Los Angeles (US)
China Pharmaceutical University (CN)

Publication Details

Journal: Analytical Chemistry
Published: 2026-04-15
DOI: https://doi.org/10.1021/acs.analchem.6c00430
Primary Topic: Carbon and Quantum Dots Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine Learning Decoding of Iron-Doped Carbon Dots Dual-Mode Responses for Portable Smartphone Sensing and Real-Time Bioanalysis of Chiral Ascorbic Acid

Shuaijing Du, Zhenhua Zhai, Qianqian Jiang, Yingxiang Du et al.

Apr 15, 2026

Analytical Chemistry

Carbon and Quantum Dots Applications

article

Machine Learning Decoding of Iron-Doped Carbon Dots Dual-Mode Responses for Portable Smartphone Sensing and Real-Time Bioanalysis of Chiral Ascorbic Acid

Shuaijing Du, Zhenhua Zhai, Qianqian Jiang, Yingxiang Du, Le Liang, Chunyan Guo, Yichen Li

April 15, 2026article en

Abstract

model. This work provides insight into stereoselective interactions with metal-doped carbon dots and offers an intelligent, portable tool for chiral sensing and physiological tracing.

Analytical ChemistryVol. 98(16)

University of California, Los Angeles (US), China Pharmaceutical University (CN)

Peace, Justice and strong institutions

Openalex Percentile: Top 23%

Carbon and Quantum Dots Applications

DOI Source OpenAlex

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