Sample identification

The laboratory must observe and document the conditions that exist at the time of receipt and that may adversely impact on the integrity of a sample. Irregularities such as unsealed sample containers on receipt, samples without any identification code, mismatches between the sample number and the sample identification number on the form, inadequate sample volume/weight, unusual condition of the sample (e.g., color, odor, or hemolysis) should be noted. Instructions from competent authorities and/or clients may be required to decide whether the sample should be rejected, and in any case the abnormalities should be documented in the sample logbook for possible future reference. 

The laboratory must have a system to uniquely identify the samples and associate each sample with the collection document or other external chain of custody link. Typically, a unique numeric, or alphanumeric code will be assigned to 

---

Specific information on the handling of the processed fractions may also be included. Specific containers or types of containers may be required to minimize analytical interference. Sample identification numbers may be assigned in the protocol or may be generated by the processing facility. In either case, each processed fraction should have a unique identification number to reduce confusion at the processing facility and at the analytical laboratory where the residues will be determined. 

In addition, each workbook contained a summary table of all results and limit of detection (LOD) determinations. The table was organized with sample identifications in the left-hand column. Eor each analyte, the analytical result and the LOD appeared in adjacent columns, and analyte recoveries appeared above the results columns. The summary table was generated automatically from the analytical results in the individual worksheets, without operator intervention or re-entry of any information. 

The OPMBS workbooks required the user to enter sample identification and the dates of collection, extraction, and analysis. Additionally, entries were required for the analytical responses of calibrants, the corresponding responses of sample extracts, and the parameters needed to calculate the LOD. Given the required input information, the spreadsheet automatically calculated and displayed, for each analyte ... 

All application verification and soil samples must be individually labeled with unique sample identification (ID) and other identifying information such as study ID, test substance name, sample depth, replicate, subplot and date of collection, as appropriate. Proper study documentation requires that sample lists and labels be created prior to work commencing in the field. Water- and tear-resistant labels should be used since standard paper labels may become water-soaked and easily torn during sample handling. Sample lists should have the same information on them as the labels and are a convenient place to record plot randomization, initials of the individual who collected the sample, and date of collection. As such, the sample list is important in establishing chain of custody from the point of sample collection until its arrival at the laboratory. 

PBECOLUMN SUBTRACTION REAGENTS USED FOR QUALITATIVE SAMPLE IDENTIFICATION IN GAS CHROMATOGRAPHY... 

For sample identification, especially for complex mixtures, SFC-MS coupling gives better results than DIP. In addition to the mass-spectral data, when using this method the retention times can also be used for identification. The great disadvantage of DIP is the incomplete peak separation, because separation can be achieved only by the use of different evaporation temperatures. An important difference to GC-MS... 

Many methods can be used for spot location and sample identification, including visual analysis, UV/VIS,... 

The microcomputer is first initialized by means of a DIALOG program on the minicomputer which transmits calibration information, sample identification, and data collection rates. The microcomputer collects data at two operator selectable rates, initial and final. The starting rate is set faster to provide better initial resolution, with typical initial and final rates of 100 pts/sec and 10 pts/sec, respectively. The duration of the Initial period can also be varied, with a usual length of 1000 points. 

The decrease of peak numbers was observed, when the spectra of the same amounts of fresh (12 weeks old) and aged (9 months old) mortars were compared. This decrease might be caused by activity of ubiquitous microorganisms that live on the mortar surfaces in biofilms. Especially in mild climate conditions, algae and cyanobacteria [35] can appear here moulds (Aspergillus, Penicillium, Fusarium, Mucor) [36] and bacteria (Arthrobacter Bacillus, Micrococcus, Staphylococcus) [37,38] have been discovered as well. The microorganisms secrete various hydrolytic enzymes that can decompose the organic additives, namely proteins, and make their sample identification less sensitive... 

S.M. Halpine, A New Amino Acid Analysis System for Characterizing Small Samples Identification of Egg Tempera and Distemper in a Painting by Cosimo Tura, Studies in Conservation, 37, 22 38 (1992). 

Data were divided into six different groups according to the physical compartment (water, SEs, and biota) and the analyzed variables (metals, organic compounds, and physicochemical parameters). Analyzed parameters and sampling sites were not the same for all compartments and years for reasons of data availability (see Fig. 4 for sample location and Table 1 for sample identification). SE and water sample data covering years from 1996 to 2003 were selected, since before 1996 the data set was too much incomplete. Time interval for biota was reduced, covering only years from 2000 to 2003 for metals and from 1999 to 2002 for organic compounds. 

Concentration units were given in microgram/liter of water and in microgram/ kilogram of SE/soil. The sampling network for SW and SE coincided geographically, and the same for GW and soil (see Fig. 6 for sample location and Table 2 for sample identification). 

In environmental analytical applications where analyte concentrations, e.g. surfactants or their metabolites, are quite low, extraction and concentration steps become essential. Solid phase extraction (SPE) with cartridges, disks or SPME fibres (solid phase micro extraction) because of its good variety of SP materials available has become the method of choice for the analysis of surfactants in water samples in combination with FIA as well as LC—MS analysis. SPE followed by sequential selective elution provides far-reaching pre-separations if eluents with different polarities and their mixtures are applied. The compounds under these conditions are separated in the MS spectrometer by their m/z ratios providing an overview of the ionisable compounds contained in a sample. Identification in the sense it has been mentioned before, however, requires the generation of fragments. 

Once the sampling procedure is accomplished, the sample container should be labeled immediately, to indicate the product, time of sampling, location of the sampling point, and any other information necessary for the sample identification. If the samples were taken from different levels of the storage tank, the levels from which the samples were taken and the amounts taken and mixed into the composite should be indicated on the sample documentation. 

In the principal components plots presented in this paper, the number plotted corresponds to the sample identification number given in the appendix. If more than one sample has the same locus in the score (Theta s) or loading plots (Beta s), the letter M is plotted. The values for the sample coordinates in the principal components plots can be listed by the SIMCA-3B program. 

Identification (ID) tests in Category IV require only specificity for their validation. Identification by HPLC usually involves comparison of the retention time (%) or relative retention time (RRT) of a sample and standard injection. The increasing use of photodiode array (PDA) detectors in HPLC methods also allows identification by comparison of UV spectra for standards and samples, in addition to retention characteristics. The information required for either ID test by HPLC can be gathered while performing any other HPLC method for a given sample. Identification tests are often incorporated into the assay method and the satisfactory completion of specificity for the assay will meet the requirements for ID as well. 

The results of data treatment are documented and evaluated in ES 5 and the interpretation in ES 6 is guided by the analyst s constraints and requirements. For instance, simple visual pattern comparisions may be acceptable for sample identification, or a combined database (GC-FTIR/GC-MS), (PGC/FTIR), (GC/TA), etc., analysis may be required. Judgmental decisions must be trained into the system as to depth of analysis, its acceptability and reliability (e.g., the hit quality index (HQI) of the MS search combined with that from the FTIR search may confirm within a 95% confidence level the GC peak or sample identity). 

Excipients Polar qualification system Sample identification and qualification 68... 

The sample-transport mechanism is the physical link between the units for the basic operations and it moves the sample cups to the entry ports. The sample identification system ensures that samples are available to the appropriate unit at the right time. The mechanism functions hke a railway system it receives a command to move a cup containing a standard volume of sample from one place to another and then waits for the next instruction, which may require transport of the next sample cup or of the same sample to a different module. 

The basic results from the individual units are processed and then combined to form the final result which is produced on the report printer. Results that deviate from an expected value by more than a preset tolerance may be marked or commented on. Additional information, such as sample identification and origin, is also made available. To ensure complete control by the analyst, the basic raw results may also be recorded in analogue form. Sample identification is provided so that the data can be re-analysed. Fully automatic systems require careful monitoring of the supply of reagents and the disposal of waste chemicals. To achieve this, fluid levels are monitored, and if they are low, an alarm signal is issued to the operator. 

The TRAACS 800+ is controlled by a personal computer and the features provided include complete interactive control via keyboard or mouse calculation of results as necessary taking into account baseline or sensitivity drift, graphical output of calibration curves for all calibration types—either Hnear or non-hnear, input facility for sample identification data allowing storage on disc and real-time results together with chart traces on a computer printer. The programs allow easy access to input or data files and connection to other computers, and gives system performance verification to CLP standards and built-in QC charts. 

Dialog 15, shown in Figure 1, is used for sample definition. This includes identification of the location of the sample in the automatic injector, the column set in use, the data collection rate, the detectors to be used, the operators initials and the sample identification. This definition file may be modified and displayed on the terminal, or printed. The file is updated during operation to show the current status of the samples. 

Hydrochlorinated 1,4-po1ydimethylbutadiene. Figure 8 shows the 22.6 MHz C NMR spectrum of the hydrochlorinated 1,4-polydimethyl butadiene sample. Identification of methyl, methylene, methine, and quaternary carbon resonances was made by off-resonance decoupling experiments. It can be seen that all resonances but the methyl resonance at 15.1 ppm, and the methine resonance at... 

Possible determinations from DSC or DTA measurements include (1) heat of transition, (2) heat of reaction, (3) sample purity, (4) phase diagram, (5) specific heat, (6) sample identification, (7) percentage incorporation of a substance, (8) reaction rate, (9) rate of crystallization or melting, (10) solvent retention, and (11) activation energy. Thus, thermo-calorimetric analysis can be a useful tool in describing the chemical and physical relationship of a polymer with respect to temperature. 

Mark t ie membrane with a ballpoint pen for sample identification purpose. Do not let the membrane dry. 

---