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Infrared calibration

Under eonstant experimental conditions, the number of Raman seattered photons is proportional to analyte eoneentration. Quantitative methods can be developed with simple peak height measurements [1]. Just as with infrared calibrations, multiple components in eomplex mixtures ean be quantified if a distinet wavelength for each component can be identified. When isolated bands are not readily apparent, advaneed multivariate statistical tools (chemometrics) like partial least squares (PLS) ean help. These work by identifying all of the wavelengths correlated to, or systematically changing with, the eoneentration of a eomponent [2], Raman speetra also can be correlated to other properties, sueh as stress in semieonduetors, polymer erystal-linity, and particle size, because these parameters are refleeted in the loeal moleeular environment. [Pg.195]

P.J. Brown, Wavelength selection in multicomponent near-infrared calibration, J. Chemom., 6, 151-161 (1991). [Pg.437]

A.S. El-Hagrasy, F.D Amico and J.K. Drennen III, A process analytical technology approach to near-infrared process control of pharmaceutical powder blending. Part III Quantitative near-infrared calibration for prediction of blend homogeneity and characterization of powder mixing kinetics, J. Pharm. Sci, 95(2), 422-434 (2006). [Pg.459]

B. J. Tenge, F-Test Significance in Near Infrared Calibration and Near Infrared and Mid Infrared Characterization and Calibration Studies of Matrix-Immobilized and Matrix Dispersed Compounds Bearing Amide Groups, Ph.D. Dissertation, University of Washington, Seattle, WA, 1989-... [Pg.353]

Brown, P.J., Wavelength Selection in Multicomponent Near-Infrared Calibration /. Chemom. 1991, 6, 151-161. [Pg.327]

Table 9.2 Near-infrared calibration results for SMZ Form I and Form II in binary and multi-component... Table 9.2 Near-infrared calibration results for SMZ Form I and Form II in binary and multi-component...
Chen J, Arnold MA, Small GW. Comparison of combination and first overtone spectral regions for near infrared calibration models for glucose and other biomolecules in aqueous solutions. Analytical Chemistry 2004, 76, 5405-5413. [Pg.354]

Tan, H., Sum, S.T., and Brown, S.D., Improvement of a standard-free method for near-infrared calibration transfer, Appl. Spectrosc., 56, 1098-1106, 2002. [Pg.166]

Valous, N. A. Mendoza, F. Sun, D.W. (2010). Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams a review. Trends in Food Science Technology Vol.21, pp. 26-43 Williams, P. C. Sobering, D. (1996). Haw do we do it A brief summary of the methods we use in developing near infrared calibrations. In A. M. C. Davies P. C. Williams (Eds.), Near infrared spectroscopy the future waves (pp. 185-188). Chichester NIR Publications Wilson, A. D. Baietto, M. (2009). Applications and advances in electronic-nose technologies. Sensors Vol.9, pp. 5099-5148... [Pg.252]

Dabakk, E., M. Nilsson, P. Geladi, S. Wold I. Renberg, 1999. Sampling reproducibility and error estimation in near infrared calibration of lake sediments for water quality monitoring. J. Near Infrared Spectrosc. 7 241-250. [Pg.315]

B. Igne, M. N. Hossain, C. A. Anderson, and J. K. Drermen, Near Infrared Calibration Life-Cycle Management of the Active Content of an Oral Dosage Form, presented at SCIX 2013, Milwaukee. [Pg.31]

E. Diaz-Carrillo, A. Munoz-Serrano, A. Alonso-Moraga, J. M. SerradUla-Manrique. Near infrared calibrations for goat s milk components protein, total casein, as-, b- and k-caseins, fat and lactose. J Near Infrared Spectrosc 1 2) 141-146, 1993. [Pg.6]

Tan, H., S.T. Sum, and S.D. Brown, Improvement of a Standard-Free Method for Near-Infrared Calibration Transfer. Appl. Spectrosc., 2002. 56 1098-1106. [Pg.568]

R.S. Andersson, B.G. Osborne, and I.J. Wesley, The application of localisation to near infrared calibration and prediction through partial least squares regression. J. Near Infrared Spectrosc. 11, 39-48 (2003). [Pg.794]

Cogdill, R. P., Anderson, C. A., Delgado, M., Chisholm, R., Bolton, R., Herkert, T, Afnan, A. M. and Drennen III, J. K. Process analytical technology case study Part II. Development and validation of quantitative near-infrared calibrations in support of a process analytical technology application for real-time release. AAPS PharmSciTech. 6(2) E273-E283, 2005. [Pg.223]

Near-Infrared Calibration Wavelengths for Prism Spectrometers — Absorption Standards... [Pg.265]

Plyler and Peters have published near-infrared calibration wavelengths for prism spectrometers based on the emission of a Hg AH-4 lamp, and reported to the nearest 0.1 A. Rounded to the nearest m/i, they are ... [Pg.266]


See other pages where Infrared calibration is mentioned: [Pg.360]    [Pg.346]    [Pg.131]    [Pg.347]    [Pg.106]    [Pg.495]    [Pg.284]    [Pg.292]   
See also in sourсe #XX -- [ Pg.272 ]

See also in sourсe #XX -- [ Pg.40 , Pg.41 , Pg.42 , Pg.43 ]




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