For each STP at each level of spiking, five repeat analyses were carried out (Table 1).
Five repeat analyses provided a total of 180 spectra for herbal extracts of Cordyceps sinensis and Ganoderma lucidum.
Repeat analyses of different glass types will allow selection of the most appropriate product for that particular situation.
In this study, however, no data cleanup was performed, thereby suggesting that the LIT was robust as a tool when applied to perform repeat analyses.
Five repeat analyses per sample were performed using FI/MS and the (C) and (G) content determined by utilizing the matrix-matched (C) and (G) ANN models.
Using workflows scientists can repeat analyses with different input parameters and later use provenance to access and compare results based on these respective parameters.
Six sets of Lingzhi fermentation solution and collagen blanks (n = 6) were spiked (83, 166 and 333 mg kg-1) prior to performing solvent extraction and five repeat analyses were performed per sample.
To assess if the ANN model possess predictive capabilities, six independent spike recoveries at three levels of concentration (83, 166 and 333 mg kg-1) with five repeat analyses were performed.
The increase of the level of Form 3 in the standard was primarily found to correlate with the number of repeat analyses, an effect not previously reported in SSNMR literature.
Five repeat analyses (Sun and Chen [2011]) of three independent set of matrix-free and matrix-matched calibration curves (at six levels of concentration of 2, 20, 50, 100, 200 and 400 μg mL-1) provided a total of 180 spectra.
While the models obtained for both (C) and (G) appeared well trained and validated, we found that it was necessary to introduce some noise into the respective models to assess if the models were sensitive to statistical outlier due to repeat analyses using MS, as judged basing on the RMSE values.
