Reverse AIEE/ACQ Engineering in a Carbon Dot–Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring

= 0.95). This work establishes a "single-probe, specific-detection, multidiscriminant" paradigm for on-site, dynamic freshness monitoring.

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Publication Details

Journal
Analytical Chemistry
Published
2026-04-02
DOI
https://doi.org/10.1021/acs.analchem.6c00873
Primary Topic
Carbon and Quantum Dots Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Reverse AIEE/ACQ Engineering in a Carbon Dot–Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring

Yongbo Wang, Wenyan Yan, Yukun Yang, Ying Zhang et al.
Analytical Chemistry
Carbon and Quantum Dots Applications
article

Reverse AIEE/ACQ Engineering in a Carbon Dot–Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring

Yongbo Wang, Wenyan Yan, Yukun Yang, Ying Zhang, Shaojie Wang, Shuo Wang
article en

Abstract

= 0.95). This work establishes a "single-probe, specific-detection, multidiscriminant" paradigm for on-site, dynamic freshness monitoring.

Analytical ChemistryVol. 98(15)
Shanxi University (CN), Nankai University (CN), Pharmaceutical Biotechnology (Czechia) (CZ), Shaanxi University of Science and Technology (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 29%
Carbon and Quantum Dots Applications
DOISourceOpenAlex
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