There has been some discussion in this topic on whether we really require so called "matrix-matched" primary standards for high accuracy EPMA. That is, do our primary standards really need to be similar in composition (and also valence and coordination), to our unknown materials?
So aside from the questions regarding the accuracy of our compositional matrix correction physics, it's a valid question since as we know from multiple studies that in the case of light elements at least, we experience peak shift and shape effects that can result in accuracy problems when not utilizing integrated area scan acquisitions for elements such as oxygen, nitrogen, carbon, boron, etc. Even sulfur k-alpha can have a significant peak position shift (though not a shape change) depending on the oxidation state of the sulfur:
https://probesoftware.com/smf/index.php?topic=127.0So, even if our compositional matrix corrections were perfect, we would still need to ascertain the magnitude of the peak shift and shape effects due to chemical states. And I think it's still an open question whether we can accurately extrapolate from one material to another when the element (mission transitioning from the valence shell) in our primary standard is in a difference valance state and/or coordination than that of our unknown.
And that is one reason why we selected as our first test sample for the high purity synthetic standard round robin three materials: MgO, Al2O3 and spinel (MgAl2O5). The idea being that these pairs (Mg Ka in MgO to MgAl2O3 and Al Ka in Al2O3 to MgAl2O5), are not only very different in composition, but also somewhat different in their chemical states. And those materials were readily available as high purity synthetics!

We are still awaiting the results from this first round robin, but I decided to share another test of this concern, that is Si Ka in SiO2 compared to some common silicates. This was a test I ran recently looking further into the problem of measuring trace Sr and Rb in silicates, but let's ignore those trace results for now and focus on the Si and Al major elements. Unfortunately I didn't have an Al2O3 standard in the standard mount (and wasn't running this test for the Si and Al concentrations as they were only being measured for the interference corrections), but still the Si data might be helpful regarding these major elements accuracy issues.
So using SiO2 as the primary standard for Si (and nepheline as the primary standard for AL), we obtain these results for labradorite:
ELEM: Sr Rb Si Al Ca Na K Fe Mg O SUM
1379 .055 -.013 24.495 16.458 9.577 2.841 .100 .319 .084 46.823 100.739
1380 .051 -.001 24.060 16.495 9.577 2.841 .100 .319 .084 46.823 100.350
1381 .061 -.004 24.038 16.513 9.577 2.841 .100 .319 .084 46.823 100.351
1382 .070 -.016 23.908 16.544 9.577 2.841 .100 .319 .084 46.823 100.250
AVER: .059 -.008 24.125 16.502 9.577 2.841 .100 .319 .084 46.823 100.423
SDEV: .008 .007 .256 .036 .000 .000 .000 .000 .000 .000 .216
SERR: .004 .003 .128 .018 .000 .000 .000 .000 .000 .000
%RSD: 13.91 -82.23 1.06 .22 .00 .00 .00 .00 .00 .00
PUBL: n.a. n.a. 23.957 16.359 9.577 2.841 .100 .319 .084 46.823 100.060
%VAR: --- --- .70 .88 .00 .00 .00 .00 .00 .00
DIFF: --- --- .168 .143 .000 .000 .000 .000 .000 .000
STDS: 251 1023 14 336 --- --- --- --- --- ---
So well within 1% relative accuracy on both Si and Al. Now for the nepheline (just looking at Si because this is the primary standard for Al):
ELEM: Sr Rb Si Al Na K Fe O Ca SUM
1383 .009 .030 20.553 17.872 12.552 4.657 .155 44.418 .075 100.322
1384 -.002 .045 19.924 17.774 12.552 4.657 .155 44.418 .075 99.598
1385 .006 .029 20.594 17.954 12.552 4.657 .155 44.418 .075 100.440
1386 .002 .025 20.422 17.857 12.552 4.657 .155 44.418 .075 100.163
AVER: .004 .032 20.373 17.864 12.552 4.657 .155 44.418 .075 100.131
SDEV: .005 .009 .308 .074 .000 .000 .000 .000 .000 .373
SERR: .002 .004 .154 .037 .000 .000 .000 .000 .000
%RSD: 134.64 27.41 1.51 .41 .00 .00 .00 .00 .00
PUBL: n.a. n.a. 20.329 17.868 12.552 4.657 .155 44.418 .075 100.054
%VAR: --- --- .22 (-.02) .00 .00 .00 .00 .00
DIFF: --- --- .044 (.00) .000 .000 .000 .000 .000
STDS: 251 1023 14 336 --- --- --- --- ---
Again excellent accuracy extrapolating from SiO2. Now our orthoclase standard:
ELEM: Sr Rb Si Al Fe K Na Ba O SUM
1387 .005 .120 29.905 8.844 1.461 12.859 .675 .054 45.798 99.721
1388 -.011 .121 29.736 8.860 1.461 12.859 .675 .054 45.798 99.553
1389 -.001 .087 30.128 8.792 1.461 12.859 .675 .054 45.798 99.853
1390 -.010 .117 30.202 8.773 1.461 12.859 .675 .054 45.798 99.929
AVER: -.004 .111 29.993 8.817 1.461 12.859 .675 .054 45.798 99.764
SDEV: .008 .016 .212 .041 .000 .000 .000 .000 .000 .165
SERR: .004 .008 .106 .021 .000 .000 .000 .000 .000
%RSD: -172.78 14.61 .71 .47 .00 .00 .00 .00 .00
PUBL: n.a. .027 30.286 8.849 1.461 12.859 .675 .054 45.798 100.009
%VAR: --- 311.36 -.97 -.36 .00 .00 .00 .00 .00
DIFF: --- .084 -.293 -.032 .000 .000 .000 .000 .000
STDS: 251 1023 14 336 --- --- --- --- ---
Again within 1% relative accuracy for both.
In other prior work I've seen similar accuracy extrapolating from MgO to other Mg silicates, so I do believe these extrapolations are feasible, though we will see in the case of Al Ka since we already know from work by Fournelle that there are subtle Al peak position shifts in feldspars at least.
By the way, these measurements were performed at 50 nA because the purpose was to look at the trace elements, but the beam was defocused to 10 um to minimize TDI effects. Never the less, some intensity changes over time were observed as shown below, but only for the Si Ka emissions!

The above being a normal exponential TDI fit. A hyper-exponential fit might be worth trying even though it appears to overfit, the intercepts are probably more accurate and that's what we utilized here:

This resulted in a TDI correction of around 1.7% +/- 0.2 for Si Ka and 0.34% +/- 0.1 for Al Ka in the labradorite
Anyway, bottom line is that major element matrix correction extrapolations can be quite accurate even when extrapolating from a pure oxide to a silicate mineral, and the valence and coordination effects seem to be minimal.