Abstract

The early rejection of gangue minerals, at coarse ore particles size (preconcentration), has been shown to be a viable option to cost reduction in many mineral processing applications. A promising technique being explored for efficient ore preconcentration is the Near InfraRed (NIR) spectroscopy. This paper attempts to validate the efficiency of near infrared preconcentration strategies, by comparing data of preconcentrated particles, when particles are scanned using near line scanner from different sides and angle of view. Three copper particles were selected from a batch of sixty preconcentrated samples, mineralogical and near infrared analysis were performed on the particles. Particles were then cut laterally (cross sectioned) and mineralogical and near infrared analysis repeated on the cut cross sectioned surface. Data of the whole samples and cross-sectioned samples are compared. Results indicate that the depth attained by scanning (both with NIR and QEMSCAN(R) of original samples is representative of each sample scanned and sufficient for preconcentration. Also, except for the differences in particle size, correlation is almost 1:1, thus, validating the initial NIR preconcentration results as being promising.

Highlights

  • The early rejection of gangue minerals, at coarse ore particles size, has been shown to be a viable option to cost reduction in many mineral processing applications

  • The study presented in this paper, compares data of samples analysed by QEMSCAN(R), and the Near InfraRed (NIR) line scanner

  • In the NIR region, the surface NIR-active mineral(s) as detected by QEMSCAN should be responsible for the NIR absorption observed in the spectra of the samples

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Summary

Introduction

The early rejection of gangue minerals, at coarse ore particles size (preconcentration), has been shown to be a viable option to cost reduction in many mineral processing applications. In the NIR region, the surface NIR-active mineral(s) as detected by QEMSCAN should be responsible for the NIR absorption observed in the spectra of the samples. Mineralogical and Near InfraRed (NIR) analysis were performed on the same surface for a one to one correlation (Table 1).

Results
Conclusion
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