Download Advances in Near-Infrared Measurements by Gabor Patonay PDF
By Gabor Patonay
Advances in Near-Infrared Measurements, quantity 1 presents an summary of near-infrared spectroscopy. The e-book is created from six chapters that take on numerous parts of near-infrared dimension. bankruptcy 1 discusses distant tracking strategies in near-infrared spectroscopy with an emphasis on fiber optics. bankruptcy 2 covers the purposes of fibers utilizing Raman recommendations, and bankruptcy three tackles the problems linked to near-infrared facts research. the following chapters current examples of the features of near-infrared spectroscopy from numerous learn teams. The textual content might be of serious use to researchers who desire to make the most of near-infrared measurements of their paintings.
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Extra resources for Advances in Near-Infrared Measurements
This may be done in situ (in the presence of the analyte) or ex situ 30 S . M . L. M Y R I C K (without the analyte). The ex situ roughened electrode would then be placed in the analyte solution to be investigated. In situ roughening has the advantage of providing higher signals (unpublished results from this laboratory) at the expense of introducing new spectral features because of new analyte sites, while ex situ roughening may be preferred for determining the orientation or adsorption isotherm of the analyte (31).
This design works well in this case because the fibers are short. There is little fiber background, and the Raman signal is very large so that diffuse-reflected laser light is not much of a problem. However, for samples that give lower Raman signals or for long optical fibers, the fiber background would begin to dominate the spectrum. Most of our SER studies on metal electrodes have used the sensor shown in Figure 3B. 01-M quinoline obtained on a Ag electrode using 250-m fibers and an excitation wavelength of 496 nm.
The precision and accuracy) of the analysis could be improved. , noise, linearity, drift), but also the optical properties of the samples and the particularly evasive problem of how these physical characteristics affect, and are affected by, the "Linear Least Squares" calibration procedure (also called regression analysis) that is commonly used. Since the majority of commercial instrumentation applications that was based on Norris* work dealt with reflectance measurements, the question of optical properties was difficult to answer.