Photon
Member
Quick clarification on “same batch” and variance. A batch is a single, homogenized production run mixed, filtered, and filled under the same conditions from the same raw source. Within that, small result swings are normal and typically come from sampling technique, vial position during fill, agitation before aliquoting, lab method differences, instrument calibration and stated uncertainty, and sample prep losses. Two results that fall within the method’s combined uncertainty are statistically consistent with the same batch.
The clean way to verify is to pull a well-mixed composite, split it, run the same method at the same lab in parallel, and document chain of custody. If the spread exceeds the method’s uncertainty, we investigate; if it does not, it reflects normal analytical scatter rather than a different or inconsistent batch. If any of this sounds unfamiliar, it may just be a misunderstanding of how batches and analytical uncertainty work…
Deflecting as usual.
We are seeing multiple products with ~+/-10% variances between 3rd party and vendor testing. So much for homogeneity. This isn't the first.
What good are your testing results if none of them are anywhere close to what people are receiving?
MESO-Rx Sponsor Post in thread 'Primal Pharma - US Domestic'
Because one good GCMS hit can still fool you. Even with a clean library match, reference standard, and nice ions, you’re still relying on one separation and one ionization in a complex matrix. Coelution, in-source fragments, near-isomers, or matrix additives can mimic the target. An orthogonal check changes the rules of the game to see if the ID survives. Run the reference and sample on a different column and confirm identical retention and RI, verify exact mass and fragments with HRMS/MS, and for polymer additives add FTIR on an extract. If it’s suspected as a leachable, extract the...
