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Far-infrared spectrometry

In order to perform qualitative and quantitative analysis of the column effluent, a detector is required. Since the column effluent is often very low mass (ng) and is moving at high velocity (50-100 cm/s for capillary columns), the detector must be highly sensitive and have a fast response time. In the development of GC, these requirements meant that detectors were custom-built they are not generally used in other analytical instruments, except for spectroscopic detectors such as mass and infrared spectrometry. The most common detectors are flame ionization, which is sensitive to carbon-containing compounds and thermal conductivity which is universal. Among spectroscopic detectors, mass spectrometry is by far the most common. [Pg.468]

So far, only one report (Engel, 1971) has identified (by infrared spectrometry) a discoloration in enamel as an analogon of the glycer-aldehyde/glycine pigment. [Pg.35]

Laser Desorption Ionization. A pulsed laser beam can be used to ionize samples for mass spectrometry. Because this method of ionization is pulsed, it must be used with either a time of flight or a Fourier transform mass spectrometer (Section 1.4.5). Two types of lasers have found widespread use A COz laser, which emits radiation in the far infrared region, and a frequency-quadrupled neodymium/yttriumaluminum-garnet (Nd/YAG) laser, which emits radiation in the UV region at 266 nm. Without matrix assistance, the method is limited to low molecular weight molecules (<2 kDa). [Pg.6]

Ferraro JR, Basile LJ (1978) Fourier transform infrared application to national problems In Ferraro JR, Basile U (eds) Fourier transform infrared spectroscopy - applications to chemical systems, Vol 4 Academic Press, New York, 275-302 Ferraro JR, Rein AJ (1985) Application of diffuse reflectance spectroscopy in the far-infrared region In Ferraro JR, Basile LJ (eds) Fourier transform infrared spectroscopy -applications to chemical systems, Vol 4 Academic Press, New York, 244-282 Frank IE, Feikema J, Constantine N, Kowalski BR (1984) Prediction of product quality from spectral data using the partial least squares method J Chem Inf Comput Sci 24 20-24 Fuller MP, Griffiths PR (1980) Infrared microsampling by diffuse reflectance Fourier transform spectrometry Appl Spectrosc 34 533-539... [Pg.106]

FI-MS, FIMS Field ionisation mass spectrometry FIR Far infrared... [Pg.770]


See other pages where Far-infrared spectrometry is mentioned: [Pg.70]    [Pg.99]    [Pg.100]    [Pg.100]    [Pg.101]    [Pg.105]    [Pg.107]    [Pg.109]    [Pg.111]    [Pg.114]    [Pg.454]    [Pg.48]    [Pg.127]    [Pg.136]    [Pg.136]    [Pg.138]    [Pg.146]    [Pg.262]    [Pg.270]    [Pg.70]    [Pg.99]    [Pg.100]    [Pg.100]    [Pg.101]    [Pg.105]    [Pg.107]    [Pg.109]    [Pg.111]    [Pg.114]    [Pg.454]    [Pg.48]    [Pg.127]    [Pg.136]    [Pg.136]    [Pg.138]    [Pg.146]    [Pg.262]    [Pg.270]    [Pg.191]    [Pg.191]    [Pg.1153]    [Pg.191]    [Pg.191]    [Pg.191]    [Pg.810]    [Pg.300]    [Pg.3407]    [Pg.207]    [Pg.296]    [Pg.538]    [Pg.335]    [Pg.18]    [Pg.12]    [Pg.3294]    [Pg.703]    [Pg.47]    [Pg.18]    [Pg.98]    [Pg.127]    [Pg.127]    [Pg.134]    [Pg.149]   
See also in sourсe #XX -- [ Pg.48 , Pg.126 , Pg.127 ]




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