Deep convolutional neural network-based 3D fluorescence sensor array for sugar identification in serum based on the oxidase-mimicking property of CuO nanoparticles-Reference-Cited by-同舟云学术

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Deep convolutional neural network-based 3D fluorescence sensor array for sugar identification in serum based on the oxidase-mimicking property of CuO nanoparticles

Published:2024-12 Issue: Volume:280 Page:126679
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Noreldeen Hamada A.A.,He Shao-Bin,Wu Gang-Wei,Peng Hua-Ping,Deng Hao-Hua,Chen Wei^ORCID

Funder

Science and Technology Projects of Fujian Province

Fujian Provincial Department of Education

Startup Project for High-level Talents of Guizhou Institute of Technology

Research Fund for Young Star of Science and Technology in Shaanxi Province

Program for Liaoning Innovative Talents in University

Science and Technology Bureau of Quanzhou

Publisher

Elsevier BV

Reference49 articles.

1. Measurement of short-chain carbohydrates in common Australian vegetables and fruits by high-performance liquid chromatography (HPLC);Muir;J. Agric. Food Chem.,2009

2. The scientific basis of recent US guidance on sugars intake;Murphy;Am. J. Clin. Nutr.,2003

3. Plant metabolites and nutritional quality of vegetables;Hounsome;J. Food Sci.,2008

4. Analysis of low molecular weight carbohydrates in food and beverages: a review;Martínez Montero;Chromatographia,2004

5. A GC method for simultaneous analysis of bornesitol, other polyalcohols and sugars in coffee and its substitutes;Ruiz-Matute;J. Separ. Sci.,2007

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