Abstract

Potassium (K)rich feldspars are one of two mineral types typically used for optical dating. Feldspar grains can contain up to ~14 wt% K that gives rise to an internal dose rate component. This internal component can comprise a significant proportion of the total environmental dose rate to which a mineral grain is exposed. The environmental dose rate term—the denominator in the optical age equation—determines the rate at which electronic charge is transferred into the crystal lattice of a mineral grain over its period of burial. Not all feldspar grains have the same K concentration, so internal dose rates differ between individual grains. K concentrations can range from 0 to 14 wt% due to the variable compositions of feldspar phases, differing proportions of discrete feldspar phases and/or the presence of other mineral inclusions in grains. Numerous techniques are available for determining the K concentrations of individual grains, but are timeconsuming, and either lack the spatial resolution to classify discrete mineral phases within multiphase grains, or the coverage to obtain wholeofgrain average K concentrations. Quantitative evaluation of minerals using energy dispersive spectroscopy (QEMEDS) is a timeefficient and automated mapping technique that has the spatial resolution to classify most mineral phases, as well as the coverage to determine their area proportions. QEMEDS can also be used to determine elemental concentrations based on spectral matches to EDS reference spectra. It is, however, difficult to determine accurate elemental concentrations for minerals such as feldspars, where solid solutions exist. To overcome this, we establish a QEMEDS calibration using EDS spectra from six feldspar reference standards to define five solid solution regions along the alkali and plagioclase feldspar series. We test this calibration through comparisons of the K concentrations of discrete phases of three feldspar varieties (orthoclase/microcline, albite and sanidine), derived using both QEMEDS and wavelength dispersive spectroscopy (WDS). We assume that the WDSderived K concentrations represent the ‘true’ K concentrations of the phases, and calculate, from a bestfit weighted regression of the two data sets, a correction and uncertainty estimate that can be applied to the QEMEDSderived K concentrations, taking into account instrument irreproducibility and any measurement bias. We also test alternative mapping step sizes to optimise efficiency, and apply this timeefficient technique to individual luminescent feldspar grains from two samples. We propose that QEMEDS is capable of (1) classifying the range of mineral phases in grains, (2) determining the area proportions of each of these phases, and (3) obtaining accurate wholeofgrain average K concentrations of individual feldspar grains using the calibration and correction presented here.