Process Analytical Technology 2005
DOI: 10.1002/9780470988459.ch12
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Future Trends in Process Analytical Chemistry

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Cited by 14 publications
(30 citation statements)
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“…The PLS models reported in Table were obtained by following the procedure outlined in Figure . If necessary, the wavelength interval was narrowed slightly to avoid noise introduced by the Savitzky–Golay , pretreatments in the neighborhood of the THF absorption band. Five different pretreatments , were tested: two-point baseline correction (BC) based on an area without analyte absorption, first derivative (Savitzky–Golay), second derivative (Savitzky–Golay), , multiplicative scatter correction (MSC) and standard normal variate (SNV).…”
Section: Resultsmentioning
confidence: 99%
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“…The PLS models reported in Table were obtained by following the procedure outlined in Figure . If necessary, the wavelength interval was narrowed slightly to avoid noise introduced by the Savitzky–Golay , pretreatments in the neighborhood of the THF absorption band. Five different pretreatments , were tested: two-point baseline correction (BC) based on an area without analyte absorption, first derivative (Savitzky–Golay), second derivative (Savitzky–Golay), , multiplicative scatter correction (MSC) and standard normal variate (SNV).…”
Section: Resultsmentioning
confidence: 99%
“…Then, a projection to latent structures (PLS, also known as partial least-squares) regression model was built based on a calibration data set. Leave-one-out cross-validation was used to generate a standard error of cross-validation (SECV) plot, from which the minimum number of significant latent variables was selected to avoid model overfitting. The SECV was compared for the different pretreatments tested and the best model was validated against an independent validation data set, obtaining a standard error of prediction (SEP).…”
Section: Methodsmentioning
confidence: 99%
“…The analyzer was calibrated using the synchronized liquid GC data (estimated octane numbers and individual components) and the NIR spectral data from 5000 to 9500 cm –1 . A standard multivariate approach was followed for the quantitative NIR analysis where the “full spectrum” is correlated with the desired product properties as opposed to using specific peaks or spectral features . The analyzer allows for automated quantitative analyses through partial least-squares (PLS) models created using the GRAMS IQ software.…”
Section: Experimental Sectionmentioning
confidence: 99%
“…Although this methodology has been shown to be quite effective, it is still dependent on a fairly lengthy GC method and, in our case, not available as an on-line method. It has been proposed earlier that on-line near-infrared (NIR) spectrometry could be a suitable process analytical tool to monitor reformate properties . In fact, one of the very first applications of on-line NIR spectrometry in fuels refining was that of estimating gasoline octane number and other fuel properties .…”
Section: Introductionmentioning
confidence: 99%
“…The proposed design is particularly advantageous for continuous monitoring of fluid flow parameters, crucial for several applications in life sciences, medicine, environmental, and process analysis [66,67], as listed in the following. Optical and non-optical sensors operated in parallel would allow for measuring parameters, such as turbidity, color, the content of certain particles, the pH value or the oxygen content.…”
Section: Optofluidic Platformsmentioning
confidence: 99%