含粗粒金矿样品采集加工与分析研究进展

含粗粒金矿,由于粗粒金的存在使其样品的采集、加工和分析极具挑战性,如何获得具有代表性和均匀性的化学分析样品,并提供准确的分析结果,长期以来一直是该类金矿资源勘查评价急待解决的技术难题。本文对近年来国内外含粗粒金矿样品的采集、加工和分析方法等3方面开展的研究工作及主要成果进行归纳分析,认为:1含粗粒金矿样品的采集是确保样品代表性的首要环节,含粗粒金矿样品分析结果的潜在误差有80%来源于样品采集,因此研究经济、有效的样品采集方法至关重要。2含粗粒金矿样品的加工主要从提高自然金的粉碎度,改进加工流程,选择样品加工设备等方面进行,但查明金的粒度分布及伴生矿物是拟定样品加工流程的关键。3含粗粒金矿样品的分析方法有常规的化学分析方法、批量浸金法和人工重砂加权平均法,相对于复杂的加工流程研究,后者有望成为此类样品经济有效的分析方法。本文指出,含粗粒金矿资源评价质量的误差来源于地质、采样、加工、分析等诸多方面,总体而言应最小化所有阶段误差,应特别重视样品采集方法的研究,确保采集样品的代表性是提高该类金矿资源评价质量的前提。

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.