Troubleshooting Mining Samples Common Causes of Bad Data
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
Troubleshooting Mining Samples Common Causes of Bad Data
-
Narrated by:
-
By:
Send us Fan Mail
This week on Bench Boost Mike, Autumn, Micah, and Josh discuss common ICP-OES/ICP-MS issues in mining analyses and how to troubleshoot them by separating sample-prep from instrument root causes. Key sample-prep problems include incomplete digestion of refractory minerals, loss of volatile analytes, spitting, and adsorption/instability during transfers. They review contamination before jumping into issues borne from instrument assays; covering the topics of matrix effects from high TDS & mitigation via dilution, internal standards, matrix matching, and more. They also note how physical effects will impact nebulization or transport efficiency. QC pitfalls with non-matrix-matched standards, internal-standard limitations, and the importance of representative CRMs are discussed before the team provides a structured troubleshooting checklist including blanks, duplicate agreement, spike recovery, dilution linearity, and multi-wavelength/isotope agreement.