Published February 2021 | Version v1
Journal article

The identification of Al nanoclusters by electrospray ionization mass spectrometry (ESI-MS)

  • 1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875 (China)
  • 2. Key Laboratory for Water and Sediment Science of Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875 (China)

Description

Highlights: • This paper firstly reviewed Al species identification from ESI-MS methodological perspective. • The accuracy of ESI-MS quantitative method was compared with that of traditional methods. • ESI-MS is proved better than other methods in the identification of trace Al species. Lacking consolidated qualitative and quantitative analysis methods of Al nanoclusters in aqueous, the distributions and concentrations of each Al species could not be revealed with single method before or after coagulation, which limited the development of environmental Al clusters control. As the ESI-MS applied in the inorganic cluster's identification tentatively, the deficient identification of Al species could be analyzed qualitatively and quantitatively with mass spectrum directly. Although many studies have applied the ESI-MS to analyze Al species in aqueous, the experimental conditions were not compared and not reached an agreement. Therefore, this work is the first study to review the methodology developments of ESI-MS in Al identification and to summarize the qualitative and quantitative analysis promoted by ESI-MS. The principle and rationality of quantitative ESI-MS method were inducted and discussed from the prospects of resolving mass spectrum assignment and transforming species in ionization. The qualitative ESI-MS results in previous studies were also analyzed by quantitative ESI-MS analysis in this work. The quantitative Al species results are accordant with the distribution results concluded via Al-Ferron and 27Al NMR methods. The identification principles and instrumental parameters were summarized and unified, which would give hints to further methodological applications and modifications. This study puts forward the further possibilities and prospects of ESI-MS applied in the transformation and in-situ identification of Al13 nanocluster in aqueous.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2020.142154

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2020.142154;
PII
S0048969720356837;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
754
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

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Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.