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Updated: Jun 28, 2026

Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry
Published on: June 8, 2022
The application of ternary complexes to spectrofluorometric analysis.
1Department of Chemistry, School of General Studies, Australian National University, P.O. Box 4, Canberra, A.C.T., Australia.
This review covers using ion-association and coordination-unsaturated ternary complexes for spectrofluorometric analysis of trace elements. These methods offer sensitive detection for various elements in different sample types.
Area of Science:
- Analytical Chemistry
- Spectroscopy
Background:
- Trace element determination is crucial in environmental monitoring, clinical diagnostics, and industrial processes.
- Traditional methods for trace element analysis can be complex and require specialized equipment.
Purpose of the Study:
- To review the application of ion-association and coordination-unsaturated ternary complexes in spectrofluorometric trace element determination.
- To highlight the advantages and potential of these complexation strategies for sensitive elemental analysis.
Main Methods:
- Review of literature on spectrofluorometric methods utilizing ion-association complexes.
- Analysis of studies employing coordination-unsaturated ternary complexes for trace element detection.
- Compilation of data on sensitivity, selectivity, and application scope.
Main Results:
- Ion-association and ternary complexes enhance the sensitivity and selectivity of spectrofluorometric trace element determination.
- These complexes facilitate the detection of various trace elements, including metals and non-metals.
- The methods are applicable to diverse matrices such as water, biological samples, and industrial materials.
Conclusions:
- Ion-association and coordination-unsaturated ternary complexes represent powerful tools for spectrofluorometric trace element analysis.
- These approaches offer a sensitive, selective, and often cost-effective alternative to conventional methods.
- Further research can expand their application to a wider range of elements and complex sample matrices.
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