A New Approach to Improving the Accuracy of Sample Analysis Using the ICP-AES Method for Exploration, Mining and Processing of Solid Minerals

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Abstract

The reliability of assessing the content of noble metals in materials is perhaps the main problem of technical and economic calculations intended for the development of projects, existing technologies and controversial situations in inter-industry relations in the production of final products. One of the important and widely used methods for the geochemical analysis of rocks, ores and their products is the inductively coupled plasma atomic emission method (ICP-AES). This article presents the revolutionary technologies and software products implemented in the new Agilent 5800 and 5900 ICP-AES models, which provide a completely new approach to improving the accuracy of sample analysis in exploration, mining and processing of solid minerals. When analyzing real samples
on Agilent 5800 and 5900 ICP-AES spectrometers, the intelligent IntelliQuant software package quickly collects semi-quantitative data for all elements across the entire spectral range for each sample and provides comprehensive sample information. Once each sample has completed its full spectrum analysis, IntelliQuant examines the data and automatically determines the optimal wavelength that will provide the best result for each element.

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About the authors

Mikhail I. Melnik

JSC NPP INTERPROJECT

Author for correspondence.
Email: post@intproject.ru

leading specialist in spectral equipment

Russian Federation, Moscow

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2. Fig. 1. Agilent ISP-NPP, models 5800 and 5900

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3. Fig. 2. Full spectrum scan results collected by IntelliQuant, with a complete set of analytical data on the sample

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4. Fig. 3. Star rating system for selecting the most optimal emission lines of the analyte by the IntelliQuant system

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5. Fig. 4. Quantitative determination of arsenic in a soil sample along the emission line of 193.695 nm in the absence of aluminum

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6. Fig. 5. Determination of arsenic in a soil sample along the emission line of 193.696 nm against a background of 5,000 ppm aluminum

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7. Fig. 6. IntelliQuant recommendations on choosing the optimal emission line for the quantitative determination of arsenic in soil samples in the presence of aluminum

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8. Fig. 7. Example of visualization of the results of sample screening in the IntelliQuant system

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9. Fig. 8. Results of semi-quantitative analysis of the standard reference material of industrial sludge NIST 2782

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Copyright (c) 2024 Melnik M.I.