Chasing the Bias - Gasoline Matrix Matching to Improve ASTM D2622 Sulfur Measurement Accuracy

Analytical instrumentation

Chasing the Bias - Gasoline Matrix Matching to Improve ASTM D2622 Sulfur Measurement Accuracy

24 Jun, 2019

Published over 7 years ago. See the latest and most current information on Analytical instrumentation.

Download

Concerns with the quality of low-level sulfur data are on the rise amidst the implementation of US EPA Tier III, Euro 5, and Euro 6 gasoline sulfur regulations. A large part of these concerns center around bias, defined by ASTM as "the difference between the expectation of the test results and an accepted reference value". Bias can be introduced through variations in elemental composition between gasoline, diesel, and mineral oil matrices when measuring sulfur with X-ray Fluorescence (XRF) spectrometry; specifically in relation to ASTM D2622. D2622 defines several methods to handle the challenge of elemental interference, one being the matrix matching of calibration standards.

This paper explores the effects of matrix matching in two test scenarios and demonstrates how setting up a D2622 calibration curve on XOS’ Sindie 2622, a monochromatic wavelength dispersive X-ray fluorescence (MWDXRF) analyser, can help users identify the extent of and correct for sample-standard bias.

Latest White Papers

PIN 27.3 June/July 2026

Explore our Digital Edition

Discover the latest news and research

Digital edition

Explore Our Other Sites

Labmate Online
Wiley expands GC–MS spectral library to more than 1.2 million mass spectra
Explore more Arrow
Envirotech Online
Water testing labs keep bacterial basics on the curriculum as PFAS dominates budgets
Explore more Arrow
Pollution Solutions Online
Leading UK biogas operator places first orders for new FlowSep technology
Explore more Arrow
Chromatography Today
UHPLC–MS/MS methodology detects multiple algal toxins in fish plasma
Explore more Arrow