ISO 5189:2023

International Standard   Current Edition
· Approved on 07 September 2023 ·

Fine ceramics (advanced ceramics, advanced technical ceramics) — Methods for chemical analysis of metal impurities in silicon dioxide powders using inductively coupled plasma-optical emission spectrometry

ISO 5189:2023 Files

null Pages
Current Edition

ISO 5189:2023 Scope

This document specifies methods for the chemical analysis of metal impurities present in silicon dioxide powders used as a raw material for fine ceramics.

It stipulates the methods for the determination of metal impurity elements in silicon dioxide powders that are decomposed by acid decomposition. The aluminium, cadmium, calcium, copper, iron, lead, lithium, magnesium, manganese, nickel, potassium, sodium, titanium, zinc and zirconium contents in the test solution are determined by inductively coupled plasma-optical emission spectrometry (ICP-OES).

Best Sellers

GSO 150-2:2013
 
Gulf Standard
Expiration dates for food products - Part 2 : Voluntary expiration dates
BH GSO 150-2:2015
GSO 150-2:2013 
Bahraini Standard
Expiration dates for food products - Part 2 : Voluntary expiration dates
BH GSO 150-1:2015
GSO 150-1:2013 
Bahraini Technical Regulation
Expiration dates for food products -Part 1 : Mandatory expiration dates
GSO 150-1:2013
 
Gulf Technical Regulation
Expiration dates for food products -Part 1 : Mandatory expiration dates

Recently Published

ISO/IEC 4879:2024
 
International Standard
Information technology — Quantum computing — Vocabulary
ISO 16502-1:2024
 
International Standard
Furniture — Assessment of the ignitability of mattresses and upholstered bed bases — Part 1: Ignition source: smouldering cigarette
ISO 13680:2024
 
International Standard
Oil and gas industries including lower carbon energy — Corrosion-resistant alloy seamless products for use as casing, tubing, coupling stock and accessory material — Technical delivery conditions
ISO 17097:2024
 
International Standard
3-D human body scan data — Methods for the processing of human body scan data