Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 26,
  • Issue 2,
  • pp. 288-293
  • (1972)

Determination of Mercury in Low-Grade Ores

Not Accessible

Your library or personal account may give you access

Abstract

Two new rapid and accurate methods are presented for determining mercury in low-grade ores and tailings: (1) A combustion-atomic absorption technique is described wherein a small sample of finely pulverized ore is heated to about 700°C, and the vaporized Hg is detected by atomic absorption. This method is suitable for determining Hg in the 0.1–5.0 lb/ton range, and the precision is about,5% coefficient of variation; (2) an x-ray fluorescence method is described wherein the unweighed, finely ground sample is merely packed into a holder, and the Hg line-to-background ratio is obtained. The problem of matrix effects is avoided by preparing standards to simulate the type of ore being analyzed. The method is suitable for determining Hg over a wide concentration range, with a lower limit of about 0.1 lb/ton. The precision, based on the analysis of a 2.0 lb/ton Hg ore, is about 5% coefficient of variation. These two techniques are compared to the commonly used Whitton and Bureau of Mines methods.

PDF Article
More Like This
Real time and high-precision online determination of main components in iron ore using spectral refinement algorithm based LIBS

An Li, Xinyu Zhang, Xiaodong Liu, Yage He, Yuheng Shan, Haohan Sun, Wen Yi, and Ruibin Liu
Opt. Express 31(23) 38728-38743 (2023)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.