Identification of the botanical origins of honey based on nanoliter electrospray ionization mass spectrometry-Reference-Cited by-同舟云学术

Identification of the botanical origins of honey based on nanoliter electrospray ionization mass spectrometry

Published:2023-08 Issue: Volume:418 Page:135976
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Yu Wenjie,Zhang Gaowei,Wu Dong,Guo Limin,Huang Xueyong,Ning Fangjian,Liu Yongquan,Luo Liping

Funder

Jiangxi Provincial Department of Science and Technology

State Key Laboratory of Food Science and Technology

Jiangsu Agriculture Research System

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference49 articles.

1. Classification of adulterated honeys by multivariate analysis;Amiry;Food Chemistry,2017

2. Honey: Chemical composition, stability and authenticity;Da Silva;Food Chemistry,2016

3. The biogenic amine tryptamine, unlike β-phenylethylamine, shows in vitro cytotoxicity at concentrations that have been found in foods;Del Rio;Food Chemistry,2020

4. Direct detection of tetracycline in honey by neutral desorption-extractive electrospray ionization mass spectrometry;Deng;Chemical Journal of Chinese Universities,2016

5. Emerging approach for analytical characterization and geographical classification of Moroccan and French honeys by means of a voltammetric electronic tongue;El Alami El Hassani;Food Chemistry,2018

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Metabolomics and network pharmacology reveal the mechanism of Castanopsis honey against Streptococcus pyogenes;Food Chemistry;2024-05

2. Metabolic profiling of Oryza sativa seedlings under chilling stress using nanoliter electrospray ionization mass spectrometry;Food Chemistry;2024-04

3. Aromatic profiles and enantiomeric distributions of volatile compounds during the ripening of Dendropanax dentiger honey;Food Research International;2024-01

4. Explainable AI-driven wavelength selection for hyperspectral imaging of honey products;Food Chemistry Advances;2023-12

5. Characterisation and Quantification of Phenolic Compounds in Honeys from Sierra Nevada (Granada);Foods 2023;2023-10-31