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Ying XIONG, Wen-ke CHEN, Ping TIAN, Bang-chao WU. Review on Collection, Processing and Analysis of Coarse Gold-containing Ore Samples[J]. Rock and Mineral Analysis, 2015, 34(1): 12-18. DOI: 10.15898/j.cnki.11-2131/td.2015.01.002
Citation: Ying XIONG, Wen-ke CHEN, Ping TIAN, Bang-chao WU. Review on Collection, Processing and Analysis of Coarse Gold-containing Ore Samples[J]. Rock and Mineral Analysis, 2015, 34(1): 12-18. DOI: 10.15898/j.cnki.11-2131/td.2015.01.002

Review on Collection, Processing and Analysis of Coarse Gold-containing Ore Samples

  • For coarse gold-containing ore, the existence of the coarse grained gold makes it challenging to collect, process and analyze ore samples, so the issue of how to obtain representative samples with great uniformity for chemical analysis, and provide accurate analysis results, has been a pressing technical difficulty in the gold mine resource exploration and evaluation. The progress and achievements of the coarse gold-containing ore sample collection, processing and analysis method of recent years at home and abroad are summarized in this paper and discussed as follows: (1) coarse gold-containing sample collection is to ensure that the primary part of representative samples, including the potential error of the result of a coarse grained gold samples 80% comes from samples collected, so the economic and effective sample collection method is very important. (2) Coarse gold-containing sample processing mainly includes the increase of natural gold crushing degree, improving the machining process for the first time, selecting the sample processing equipment, and so on but determining the size distribution of gold and associated minerals is the key to sample processing. (3) Coarse gold-containing sample analysis involves a conventional chemical analysis method, bulk-leachable extractable gold (BLEG) analysis and the artificial sand weight weighted average method. Compared with the complex processing process study, the latter is expected to become such an economic and effective analysis method. The quality of coarse gold mine resource evaluation error comes from many aspects, such as geological, sampling, processing and analysis. To minimize error at all stages, and to pay particular attention to the study of sample collection method, and to ensure the representative samples collected, and all of the above are the premise of improving this kind of gold ore resource assessment quality.
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