Batch samples

Manual operations such as filter cleaning, sampling, batch operations. 

Quantitation is performed by the single-point calibration technique. The calibration standard should be at a level similar to the expected residues and should be injected after every 3 samples throughout the sample batch. The mean response of the calibration standards which bracket the sample should be used for the residue calculation. 

Fig. 5.16. Changes in mass of anthracene weighed sample (batch) against time during its treatment by singlet oxygen [116]...

TABLE 11. Properties of Test Muds Before and After Hot Rolling Sample Batch 2, Table 9... 

In Figure 15.2 Pictures 1.1 and 2.1 are SEM images of nonfluorinated (reference) material and fluorinated samples (Batch 15A20PR7), and Pictures 1.2 and 2.2 are the corresponding X-ray spectra. The EDS spectrum shows that Batch 15A20PR is fluorinated, since a fluorine peak can be seen in the left part of the spectrum (Picture 1.2). 

Fig. 6.3.4. Alkyl homologue distribution of LAS (sample batch from December 1999) (from Ref. [23]).

It is possible to quantify individual nitroaromatic compounds present in commercial nitroglycerine-based explosives without prior separation, by using 500 MHz NMR. Patterns within the quantitative data provide a good degree of sample batch characterization447. 

The recovery of the main compound (100%) and all relevant impurities spiked with, for example, 0.5% wt/wt in a recent and worst-case (old) sample batch, is calculated against a freshly prepared reference solution as... 

As an example, the results obtained for method precision and capability are presented in Table 10 for a Gage R R study performed for an oral film-coated tablet in four different labs, using six sample batches, and analyzed in replicate by two analysts in each lab. The %P/T metric was calculated according to the Ph. EUR specifications 95-105% and according to the USP specifications 90-110%. The method standard deviation (apart from the process standard deviation) is also presented, together with average assay results and confidence intervals thereof per lab and for all labs together. 

It is recommended to monitor the performance of the methods during real time analysis in the application labs. Indeed, the best setting for method evaluation is really during actual application to sample batches. In this way, a historical source of objective data is made available that will be the basis for future discussions on method issues between the application and the development labs. 

Very few of the references in Tables 1-3 attempt any quantitative modelling of their NMR data in terms of cell microstructure or composition. Such models would be extremely useful in choosing the optimum acquisition pulse sequences and for rationalising differences between sample batches, varieties and the effects of harvesting times and storage conditions. The Numerical Cell Model referred to earlier is a first step in this direction but more realistic cell morphologies could be tackled with finite element and Monte Carlo numerical methods. 

A QC assessment was done for all samples. De-ionized water field blanks were collected on seven different days to evaluate process contamination. Site duplicates were taken at eight sites to evaluate repeatability and site variation. Instrumental precision was constrained by analysis of laboratory duplicate solutions, and is typically less than 5%. Finally, standard reference material (SRM) water standards were analyzed with sample batches, to assess instrumental accuracy. 

Once initial analyses are completed, random samples are sent from SGS to ActLabs for check assays, to establish precision (repeatability) and analytical bias. Additionally, coarse sample rejects are chosen at random and sent to ActLabs for preparation and analysis, to check the accuracy and repeatability of the original sample preparation. A further check on SGS Lab precision is conducted by renumbering pulps and re-submission from ActLab to SGS for analysis. Tournigan monitors quality assurance by plotting and analyzing the data, as received, and activates re-assaying of sample batches that do not meet predetermined standards. 

Generate R independent sample batches (denoting the number of sample... 

For any R independent and identically distributed sample batches (denoting the number of sample replication) each with sample size of N, that is,. .., %N,j = 1,..., R, the... 

Calibration is performed using three standards selected to cover the range expected in the sample batch (usually 4.2, 8.4 and 33.6 pmol/1), together with pooled plasma to allow for any matrix effect, plus a pooled plasma blank. 

A movable tray which supported a sample batch of oranges was mounted normal to the inlet of the chute. When the tray was canted by... 

Manufacturing controls—sample batch records, list of SOPs packaging component control, raw material control, packaging and labeling control, yield accountability and reconciliation, warehousing and distribution... 

Quality Control (QC) QC samples are used to check the performance of the bioanalytical method as well as to assess the precision and accuracy of the results of postdose samples. QC samples are prepared by spiking the analyte of interest and the IS into a blank/control matrix and processing similar to the postdose samples. QC samples cover the low (3 x LLOQ LLOQ = lower limit of quantitation), medium, and high (70-85% of ULOQ ULOQ = upper limit of quantitation) concentration ranges of the standard curve and are spaced across the standard curve and the postdose sample batch. 

All the 311 molecules adopt a P-helical conformation in the central hexatriene part (this crystal is named (P)-311 NpF). Single crystals with the opposite chirality, (M)-311 NpF, in which 311 is in an M-helical conformation, were also obtained from the same sample batch. The chiral cocrystals underwent photochromism. Upon irradiation with 365 nm light, the colorless crystal turned blue. 

Determine analytical accuracy and precision for One pair for every preparation batch of up to a sample batch 20 field samples... 

Sampling batches from production for stability evaluation Sampling units from batches for stability studies Sampling units from stability study for testing Sampling analytical samples from units selected for testing Number of units... 

From a practical point of view, internal standard in a LC-MS/MS assay serves three distinct purposes in the analytical process. The first purpose is to compensate extraction recovery inconsistencies. The second purpose is to compensate injection volume variation. The third purpose is to compensate possible matrix effects during the MS ionization process as has already been discussed in detail above. In 2009, Tan A. et al. reported 12 case studies from incurred sample analyses using a wide variety of bioanalytical methods for the investigation of inconsistent internal standard response [23], For similar reasons, it has now become common for laboratory SOPs to contain specific requirements for the acceptable internal standard response of each individual sample within a sample batch during regulated bioanalysis. These requirements (e.g., 60-140 %, 50-150 % of the average internal standard area for all samples in the batch) ensure that the behavior of the internal standard, regardless of how well it tracks the analyte, is under control, and is consistent in all samples. 

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