I love this so much.
especially for this part...
"15 samples were collected for testing within the span of time it took to fill all the sample tubes with water.
The samples were shipped arbitrarily, five at a time, on Monday, Wednesday, and Friday of the same week."
We can think of three sorts of variations in our hobby ICP testing (for major elements that are stable).
1. The variation you get from a vendor running replicate samples over and over (back-to-back variability)
2. The variation you get when a vendor runs a replicate sample on a different day, after the machine has gone through a cleaning/recalibration routine. (day to day variability)
3. The variation from choosing vendor A vs B vs C. (vendor to vendor variability)
Lots of people have tested 1 and 3, but the data on 2, day to day variability is super thin. We know 1 - back to back variability - is small. That's been apparent since the Ross & Maupin Triton
article years ago, and confirmed many times since.
We know 3 is significantly larger. Sanjay's recent reefbuilders
article
gives a great tour of how different results of one sample can look when you send it to different vendors. Many others have noticed (and griped) about the same thing.
What
@Rick Mathew , and
@Dan_P and I have wondered about is number 2 - day to day variability. What if the larger vendor to vendor variation was really just the day to day variation? I mean if you send replicate samples to the same vendor on different days, does it just look like you sent it to different vendors?
The relevance here is trending elements. We say just stick with one vendor for trending, well what if that vendor looks like a different vendor from one day to the next?
This is a really good data set for answering the question because it includes the back-to-back and day-to-day variability in the vendor data.
Let's look through the first tiers of elements.
This chart is vendors A, B, and C with the means and max/min for each element. All normalized to the combined average across 3 vendors set to 1.
First, you can see that the question of what variations matter the most is clearly answered. Even the day-to-day recalibration/cleaning routines of the vendors don't add enough variation to account for differences between vendors. So systematic variations between vendors is the largest source of variation in data that we see. (The article demonstrates this rigorously by the statistical Tukey's test.)
Thus, the advice to stick to one vendor to trend elements is well-supported.
Secondly, what would people use these particular results in this chart for?
two things: salinity and check major ion balance (Chloride vs Sulfate etc).
The salinity measures look good. The hobbyist can probably live with Chloride +-4% and Salinity +-3% as limits on how well salinity can be measured.
So if your salinity actually was 35ppt, accept that you can get 34 to 36 from ICP, and don't adjust based on expecting tighter than that.
For major ion balance, the Chloride +-4% and Sulfate of +-10% are probably okay too. I don't think anybody would decide to try to adjust ionic balance based on sulfate vs chloride being off by ~10% from an ideal balance.
Later I'll post a look at the titration elements: Ca, Mg, and K.