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HAPSITE Smart Operating Manual
6.2.1 Building a Survey Method Library File
Survey methods can be designed for data collection in three manners:
without identification.
qualitative analysis and identification based on match with the AMDIS library.
Quantitative/Qualitative analysis, identification and quantification from a target
library and unknown identification using the AMDIS library.
The process of building a survey method is best accomplished by preparing and
running individual standards for the target compounds at the desired concentration
levels. Survey methods can be calibrated at a single level or over a concentration
range. The accuracy of a survey method is limited by the manner in which the data
is collected and the external calibration technique. Survey method target libraries
can be built by running multiple compounds in a single run; however, the user must
edit the combined spectrum, selecting the appropriate mass fragments for each
compound. Compounds that share mass fragments cannot be run in the same
standard.
6.2.1.1 Creating Survey Methods for Target Compounds
Collection of survey data is controlled by the method. Survey methods, like GC/MS
methods, are generated or modified using the Method Editor. The Method Editor is
covered in detail in
6.2.1.2 Building a Survey Target Compound Library
The library is built using the Calibrate Function. Calibrate is described in detail in
Refer to
Chapter 12, Target Compound Methods
. The Special features of building
a Target compound Method for Survey are detailed in the following example.
Calibration samples must be collected prior to building the library. When collecting
the calibration runs enter the concentration of the calibration standard and the units
in the Data File Info Header. The Data File Info Header is accessed by selecting
the Data File Info button from the toolbar in the Data Review Window. See
9.3, Data Review Toolbar, on page 9-5
.
. . . . . . . . . . . . . . . . . . . . . . . . Access Data File Info icon.
Summary of Contents for HAPSITE Smart
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