Literature DB >> 11583101

Analytical methodologies for aluminium speciation in environmental and biological samples--a review.

S P Bi1, X D Yang, F P Zhang, X L Wang, G W Zou.   

Abstract

It is recognized that aluminium (Al) is a potential environmental hazard. Acidic deposition has been linked to increased Al concentrations in natural waters. Elevated levels of Al might have serious consequences for biological communities. Of particular interest is the speciation of Al in aquatic environments, because Al toxicity depends on its forms and concentrations. In this paper, advances in analytical methodologies for Al speciation in environmental and biological samples during the past five years are reviewed. Concerns about the specific problems of Al speciation and highlights of some important methods are elucidated in sections devoted to hybrid techniques (HPLC or FPLC coupled with ET-AAS, ICP-AES, or ICP-MS), flow-injection analysis (FIA), nuclear magnetic resonance (27Al NMR), electrochemical analysis, and computer simulation. More than 130 references are cited.

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Year:  2001        PMID: 11583101     DOI: 10.1007/s002160100913

Source DB:  PubMed          Journal:  Fresenius J Anal Chem        ISSN: 0937-0633


  4 in total

1.  Fractionation of aluminum in soil and relation to its concentration in fruits.

Authors:  Mehmet Yaman; Ismail Akdeniz
Journal:  Environ Monit Assess       Date:  2006-04-28       Impact factor: 2.513

2.  Chemical Speciation of Aluminum in Wine by LC-ICP-MS.

Authors:  Katarzyna Karaś; Anetta Zioła-Frankowska; Marcin Frankowski
Journal:  Molecules       Date:  2020-02-27       Impact factor: 4.411

3.  Application of a new HPLC-ICP-MS method for simultaneous determination of Al(3+) and aluminium fluoride complexes.

Authors:  Anetta Zioła-Frankowska; Jan Kuta; Marcin Frankowski
Journal:  Heliyon       Date:  2015-10-26

4.  Quantitative Determining of Ultra-Trace Aluminum Ion in Environmental Samples by Liquid Phase Microextraction Assisted Anodic Stripping Voltammetry.

Authors:  Liuyang Zhang; Jinju Luo; Xinyu Shen; Chunya Li; Xian Wang; Bei Nie; Huaifang Fang
Journal:  Sensors (Basel)       Date:  2018-05-10       Impact factor: 3.576

  4 in total

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