Work

Machine learning-assisted carbon dot sensing for iron speciation in Auricularia auricula soaking solutions under various processing conditions

Year: 2026

Type: article

Source: Food Chemistry

DOI: 10.1016/j.foodchem.2026.149791

Authors: Jing Mao, Fenghua Li, Yang Ma, Liping Qi, Mingming Yuan, Xin Yuan, Ke Huang

Institutions: Sichuan Normal University, Chengdu University of Traditional Chinese Medicine, Sichuan Academy of Traditional Chinese Medicine

Language: English

Topic: Carbon and Quantum Dots Applications

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funders: National Natural Science Foundation of China, Key Lab of Process Analysis and Control of Sichuan Universities of China

Awards: G2130765655, G4487612144

OpenAlex ID: W7162185648

FWCI: 2.893

Cites: 53

Cited by: 2

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