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Detector, linear remote

The long-term accuracy of remotely deployed flow systems can be maintained by incorporating automated self-calibration procedures. Frequent recalibration allows the system to adapt to temporal changes in analytical sensitivity, detector response and system wear and tear, e.g., pump tube degradation. If the detector response is demonstrably linear, a single point calibration is adequate for slope adjustment [102] and this is easily achieved via a two-way switching valve connected to the sample and standard flow channels. [Pg.236]

A spectroscopic NIR imaging system, using a FPA detector, has been developed for remote and on-line measurements on a macroscopic scale. Multivariate statistical techniques are required to extract the important information from the multidimensional spectroscopic images. These techniques include PCA and linear discriminant analysis for supervised classification of spectroscopic image data (178). [Pg.33]

The NIR region is a compromise between the trade-off that must be made in choosing between Raman and IR spectral imaging. Dispersive Raman microprobes using near-IR excitation beyond 1000 nm and linear array detectors with good sensitivity are useful for the investigation at the microscopic level or for remote analysis by means of optical fibres of samples which fluoresce under visible illumination. This allows manufacturing quality control. [Pg.533]


See other pages where Detector, linear remote is mentioned: [Pg.1236]    [Pg.738]    [Pg.46]    [Pg.293]    [Pg.70]    [Pg.73]    [Pg.71]    [Pg.162]    [Pg.254]    [Pg.5]    [Pg.1236]    [Pg.68]    [Pg.191]    [Pg.192]    [Pg.62]    [Pg.41]    [Pg.70]    [Pg.73]   
See also in sourсe #XX -- [ Pg.153 , Pg.157 ]




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