MESO "Specialized" Testing Group Fund

Very important typo. I meant to say fairly inaccurate. Thank you @readalot for bringing this to my attention.


Long story short, I decided to do some basic statistics. Note the uncofindence in my statement — these kinds of statements are closer to "more likely than not" rather than "95% confidence". This is mainly due to the small sample size (~10) more than anything. Again, the conclusion is supposed to be that GCMS area is not accurate rather than is.

Longer explanation:
We have two methods that are essentially measuring purity, some more accurate than others. If we make three basic assumptions, we can do some comparative statistics like lims of agreement. We do this by making a table of GCMS vs HPLC data (of the same samples) and then comparing.

Assumptions:
First: All samples are thoroughly mixed and consistent throughout, especially when one individual sends two samples for testing. This is less likely with bodybuilders rather than actual researchers, but still expected.
Second: Jano's hplc is indeed very accurate, other than confusing very similar compounds like d4,6.
Third: There are no significant quantities of involatile substances. This is the least certain, but is still likely due to how organic synthesis works practically.

If so, we can create a spreadsheet with 2 columns. For the HPLC column, we just write the purity. For the gcms, we add any compounds' areas that will almost certainly coelute on hplc (in general this is only testosterone and d4,6 - see below for more info). Then we just compute the residuals, do some altman analysis, etc. While the statistical power is lacking with only n=~10, it can still tell us a lot. Honestly, if anyone here has any time, please make a spreadsheet of any janoshik reports that you have of the same sample, with gcms and hplc. If we can get enough data, we could even do cluster analysis and find patterns with Jano's testing, possibly even with vendors.


This is a bit less scientific, and is mostly a combination of: how likely two molecules are to coelute based on structure (in the case of d4,6, I would say the damning aspect is that the double bond is in very close proximity to the d4 bond, unlike modifications far away from it like boldenone or nandrolone) and published data, how the hplc raw data looks (especially the chromatograms, I actually think that I saw a shoulder peak on one), how it compares to the gcms, etc. Its a bit hard to explain, but at minimum I haven't seen anything nearly as flagrant as the d4,6 and testosterone.
Thank you for the detailed comments. While I give them the attention they deserve here's some related data for oils in case you had not seen it.

 
100% im the least experienced here so great to pick up some info.

for me on this test

They're 32 h apart, but retention times is almost similar. so i dont think the mz difference is the culprit but the retention times. base peak is also 11k vs 15k

Hold up. My AI app subscription lapsed. Give me a little bit.

App Please Hold GIF by The3Flamingos
 
So? Instead of spamming shit what should I tell Jano GCMS yes or not?

I mean the fucking thread is already a mess without us spamming gif, don't you think?
 
While the statistical power is lacking with only n=~10, it can still tell us a lot. Honestly, if anyone here has any time, please make a spreadsheet of any janoshik reports that you have of the same sample, with gcms and hplc
@Photon got it tighter and no point in arguing about overfitting on a forum but to your point. GCMS API% and HPLC mg/ml correlation very tight.

 
Asked for raw data on both and GCMS on sample 1 ( the least pure)

Can't keep this shit straight in my head

From what I vaguely recall: the issue was NPP contaminated with something like TNE, but TNE didn't show up on HPLC...?

So the point of repeating GCMS on another NPP sample is to see if it's common for NPP to be contaminated with a mysterious TPP-like compound that evades detection by HPLC ?
 
From what I vaguely recall: the issue was NPP contaminated with something like TNE, but TNE didn't show up on HPLC...?
the autoid name by gcms was inaccurate.

i went and asked jano for this and he said hes sure its not andro skeleton(would be testosterone then) but almost surely estro(nandrolone) skeleton from the molar mass being so similar to npp(its a impurity and becomes useless like the tne impurity, probably problematic with estrone skeleton since its 100% sure its gonna become estrogen or progesterone)


i do agree with this is just repetitive testing. we aren't gona find new info with it.

its overkill but we could do
 
i wouldnt be too happy about that 70% percent if i was b ware

this is like the highest area % we found yet. and even if gcms isnt calibrated for api% i dont think the error magin is bigger than 10% at most!

How dare you impugn those 99+% raws!!

This vendor uses 1H NMR to qualify those righteous anabolic powders. Says so right here.


Probably just got "overheated" a bit during shipment. Quality stuff.
 
How dare you impugn those 99+% raws!!

This vendor uses 1H NMR to qualify those righteous anabolic powders. Says so right here.


Probably just got "overheated" a bit during shipment. Quality stuff.

AFAIK they only used HPLC n MS
 
AFAIK they only used HPLC n MS
Pristine, isn't it?
 
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