Recent achievements in element analysis of bee honeys by atomic and mass spectrometry methods-Reference-Cited by-同舟云学术

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Recent achievements in element analysis of bee honeys by atomic and mass spectrometry methods

Published:2017-08 Issue: Volume:93 Page:67-77
ISSN:0165-9936
Container-title:TrAC Trends in Analytical Chemistry
language:en
Short-container-title:TrAC Trends in Analytical Chemistry

Author:

Pohl Pawel,Bielawska-Pohl Aleksandra,Dzimitrowicz Anna,Jamroz Piotr,Welna Maja,Lesniewicz Anna,Szymczycha-Madeja Anna

Funder

Polish Ministry of Science and Higher Education

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference91 articles.

1. Jujube honey from China: physicochemical characteristics and mineral contents;Zhou;J. Food Sci.,2013

2. Characterization of Argentine honeys on the basis of their mineral content and some typical quality parameters;Conti;Chem. Central J.,2014

3. Council Directive of the European Union 2001/110/EC of 20 December 2001 relating to honey, Off. J. Eur. Communities 900 (2002) 47–52.

4. Physicochemical characterization and antioxidant activity of commercial Portuguese honeys;Aazza;J. Food Sci.,2013

5. Antioxidant activity, quality parameters and mineral content of Portuguese monofloral honeys;Alves;J. Food Compos. Anal.,2013

Cited by 26 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. Different floral honey types are differentiated based on their antioxidant activities, contents of bioactive compounds, and pesticide residues;Food Bioscience;2024-08

2. Mass Spectrometry Characterization of Honeydew Honey: A Critical Review;Foods;2024-07-16

3. Exploring the impact of harvest year on the mineral composition of Mimosa scabrella Bentham honeydew honey from Santa Catarina (Brazil) using ICP‐MS and chemometric tools;International Journal of Food Science & Technology;2024-06-24

4. A Comprehensive Narrative Review on the Hazards of Bee Honey Adulteration and Contamination;Journal of Food Quality;2024-03-07

5. Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions;Foods;2024-01-12

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