Work

Noble Metal–Metal Oxide Nanohybrids as a High-Performance LDI-MS Matrix for Machine Learning-Driven Metabolic Diagnosis of Esophageal Cancer

Year: 2026

Type: article

Study design: Observational Study

Source: Analytical Chemistry

DOI: 10.1021/acs.analchem.6c01671

Authors: Chaoqi Wang, Mengdan Shi, Peilin Peng, Yijiao Qu, Xi Yu, Yuyin Bu, Huihui Fu, Zhean Jin, Xiaoyong Zhang, Junyu Chen, Zongxiu Nie

Institutions: Nanchang University, Chinese Academy of Sciences, Institute of Chemistry, Nanchang Normal University, Hainan University

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Health Commission of Jiangxi Province

Awards: G3207354168, G5407151712, G889042870

OpenAlex ID: W7168877285

FWCI: 1.822

Cites: 56

Cited by: 1

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